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Systematic Review

Systematic Literature Review on Methods of Assessing Carrying Capacity in Recreation and Tourism Destinations

1
Department of Recreation and Ecotourism, Faculty of Forestry and Environment, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
2
Department of Landscape Architecture, Faculty of Design and Architecture, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
*
Authors to whom correspondence should be addressed.
Sustainability 2023, 15(4), 3474; https://doi.org/10.3390/su15043474
Submission received: 14 November 2022 / Revised: 4 February 2023 / Accepted: 7 February 2023 / Published: 14 February 2023
(This article belongs to the Special Issue Natural Resource Management Towards Sustainability)

Abstract

:
Carrying capacity is paramount to recreation and tourism management, which depends on sustainability between resource protection and experience quality. Many studies have examined carrying capacity from several perspectives, but the various methods of assessing carrying capacity have not yet been reviewed. The purpose of this study is to assess the methods of carrying capacity, their trend, and the assessment of carrying capacity made by each method. From the three scientific repositories used in this research, 100 original research papers were included in the review process. A total of 24 methods were recorded. The normative approach and Cifuentes Arias’ method were found to be the two main methods of determining carrying capacity. From the assessment of carrying capacity and the origin of each method, two fundamentals of carrying capacity emerged, and their differences and limitations are discussed. In addition, the study found that the carrying capacity employed in tourism destinations was formulated by complex variables that may require political interventions to ensure their success. Most of the research reviewed here focuses on the social aspects of carrying capacity, thus leaving room for future research. This study should benefit academics, policymakers, and resource managers by comprehensively analyzing the methods, limitations, and directions of future research in carrying capacity studies.

1. Introduction

Recreation and tourism resources are usually natural settings that are preserved to safeguard ecological, cultural, aesthetic, and scientific values. Crucially, such resources are a platform for promoting environmental values. Participation in recreational and tourism activities invokes a sense of attachment to a place that encourages appreciation toward nature and nurtures pro-environmental actions [1,2,3,4,5].
Recreation and tourism are now parts of the modern lifestyle. As the population grows, the demand for recreation and tourism has become a challenge to recreation and tourism management, as recreation and tourism resources are consistently challenged by visitors’ depreciative behaviors [6,7,8,9,10,11,12,13] and crowding [14,15,16].
Impacts resulting from heavy visitation have caused undesirable changes to vegetation and plant diversity [17,18], erosion of the soil [19,20], diminished water quality [21], and disturbance to wildlife [22,23,24,25]. At the same time, recreation negatively impacts visitors’ recreational enjoyment [26,27,28] as well as their loyalty and intention to revisit a place [29,30]. To address the increasing impacts of recreation activities, carrying capacity was introduced in recreation resource management in the early 1960s. Some earlier contributors (e.g., [31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48]) have paved the way for many carrying capacity studies in recreation and tourism resources today.
Previous works that have systematically reviewed carrying capacity have provided valuable insights into the hotspots in carrying capacity research topics [49], such as the use of a digitalization approach in measuring carrying capacity [50], carrying capacity from the regional perspective [51,52], and the concept and model of tourism carrying capacity [53]. Butler’s review [54] underlined the future direction of carrying capacity, and Wei et al. [55] emphasized the specific types of carrying capacity. Nevertheless, even though previous systematic reviews have significantly contributed to the advancement of carrying capacity studies, it is worth noting that the variety of methods used in carrying capacity determination and their fundamentals have yet to be comprehensively documented and academically discussed in one publication.
Given these gaps in the literature and the implementation of visitor capacity as essential in recreation and tourism resources, this study systematically reviews original research papers under the domain of carrying capacity studies to assess the following: (1) the methods that have been used to assess carrying capacity, (2) the trend of each method, and (3) the assessment of carrying capacity that was made by each method. Based on the results, this study outlines the methods’ differences, fundamentals, limitations, issues, and gaps for future research. This study provides an up-to-date overview of the existing literature on carrying capacity studies from the past two decades and the gaps in the current knowledge that warrant more future studies.

2. Materials and Methods

This systematic literature review was conducted following the Preferred Reporting Items for Systematic Review Recommendations (PRISMA) guidelines [49,50,56,57] and adapted for this study. Research papers were obtained by searching three repositories of scientific publications: Google Scholar, SCOPUS, and MDPI. The keywords used in the searches were “recreation and tourism carrying capacity” OR “recreation and tourism visitor capacity” OR “recreation and tourism social carrying capacity” OR “recreation and tourism physical carrying capacity” OR “recreation and tourism ecological carrying capacity” OR “ecotourism carrying capacity” OR “recreation and tourism environmental carrying capacity” OR “recreation and tourism carrying capacity standard” OR “recreation and tourism carrying capacity threshold” and “recreation and tourism visitor use management”.
The criteria for selecting the research papers were that they had to be published from 2000 to October 2022 and written in English. This period was chosen because the interest of this study was to assess the methods of determining carrying capacity in the past two decades of research. In addition, it was also consistent with the recent systematic literature review papers that reviewed carrying capacity studies between the past 20 and 26 years [49,50]. The searches were carried out progressively between January and October 2022. For each repository, references that did not meet the preliminary criteria were excluded. The search process was as follows.
  • Google Scholar: A search was carried out for each keyword, and the results were screened by the custom range of years of publication, namely, 2000 to 2004, 2005 to 2009, 2010 to 2014, 2015 to 2019, and 2020 to 2022. The search criteria were sorted by “relevance”, “any type”, and “include citation”. The list of papers for each search was recorded and downloaded until page 10.
  • SCOPUS: A search was carried out within “Article title, Abstract, Keywords”. Results were screened based on the journal in which they were published, open access and open archive status, the year of publication, the research article itself, and whether they were published in English. The results were downloaded and listed in a dataset.
  • MDPI: A search was carried out for journal type. The results were screened based on the article, year of publication, and whether they were in the English language. The results were downloaded and listed in a dataset.
Research papers were downloaded once per database, even if they appeared across the three repositories. The search focus was on the content of the research papers; therefore, research papers with titles and keywords that did not match the search were included in the pool. A total of 3995 research papers were initially recorded (Figure 1).
The second screening process was conducted based on an approach by Ballantyne et al. [58]. In this case, the research papers had to be original, peer-reviewed, and related to the research topic. Theses, review papers, method papers, concept papers, longitudinal studies, meta-analysis studies, pilot studies, technical reports, and gray literature were excluded; however, they were used to find other academic-related journals. The second screening process was carried out by the five authors of this study separately. As a result, a total of 245 publications were carried onto the third screening process.
Lastly, the five authors screened the research papers together to reach a consensus regarding the final number of papers to be included in the review. During this process, research papers related to the formulation or the determination of indicators for carrying capacity and carrying capacity monitoring were excluded, as this was not the main interest of this study. As a result, 100 research papers were eventually identified and included in the systematic quantitative literature review. These research papers were sorted according to the year of publication, first author, journal name, publisher, country, area of study, type of settings, carrying capacity assessments, and method used to determine the carrying capacity.

3. Results

The details of the publication, carrying capacity assessment, and methods for carrying capacity determination are detailed in this section. Supplementary Materials list the 100 included sources and 145 excluded sources for the systematic literature review.

3.1. Methods of Carrying Capacity Determination

Of the 100 research papers reviewed, 24 methods of assessing carrying capacity were recorded. The methods were then divided into four categories according to their similarity and origin (Table 1). The first category was the normative approach, which specifically employs visual aids and a social norm curve for carrying capacity determination. The second category originates from Cifuentes Arias’ method, and the third category uses a method that combines the two previously mentioned methods. The last category was grouped as “other method”, consisting of the individual method that assessed carrying capacity from economic perspectives, formulas, models, frameworks, environmental resources, and visitor surveys. Of the 24 methods recorded, the normative approach (f = 45) and Cifuentes Arias’ method (f = 30) were the two most prominent methods used in carrying capacity determination.

3.2. Publication Trend of Each Method

Manning contributed five research papers using the normative approach method, and Needham and Hallo contributed three each (Table 2). Six authors contributed two papers each, and another 22 contributed one paper each since 2000. The publication year based on the normative approach method was spread across 22 years, with most papers published in 2012 and 2011 (11.11% each). Nearly 65% of the carrying capacity studies with this method were conducted in the USA, with over 65% being carried out in wilderness settings.
Apart from these studies, de Sousa contributed three research papers using Cifuentes Arias’ method, and another 27 authors contributed one paper each using this method (Table 3). Next, 90% of the research papers using this method were published post-2011, mostly in 2021 (23.33%), 2019 (16.67%), and 2022 (13.33%). Geographically, 30% of the carrying capacity studies using this method were conducted in Brazil, China, and Iran, with over 60% being carried out in beach and urban settings.
The studies that utilized a combination of Cifuentes Arias’ method and the normative approach were published by one author each in 2011 and 2013, respectively, and conducted in Portugal in a beach setting (Table 4). In addition, 23 studies employed another 21 methods of assessing carrying capacity. Most of these studies were conducted in China (21.74%) and the USA (13.04%), in wilderness (34.78%) and urban (21.74%) settings.

3.3. Assessment of Carrying Capacity Made by Each Method

Sixty carrying capacity assessments were recorded for the normative approach method, representing recreation and tourism resources’ social, resource, and managerial components (Table 5). Of these, 75% of the assessments evaluated social conditions, 20.59% assessed resource conditions, and 4.41% measured carrying capacity related to managerial conditions. The most frequent assessment centered on the number of people at one time (32.35%), the number of boats seen/number of boats at one time (8.82%), and the percentage of bare ground on a campsite (7.35%).
Concerning Cifuentes Arias’ method, 30 carrying capacity assessments were recorded that focused on the social aspects of recreation and tourism resources (Table 6). Over 80% of the assessments centered on people/visitors/tourists per day, and 6.67% focused on the number of visitors in an area (m or ha). For Cifuentes Arias’ method plus the normative approach, two assessments were recorded exclusively focusing on the people/visitors/tourists per day (100%).
Fifty carrying capacity assessments were recorded that used the other methods, representing recreation and tourism resources’ social, resource, and managerial components (Table 7). Next, 50% of the assessments evaluated social conditions, 28% assessed resource conditions, 14% measured carrying capacity related to managerial conditions, and 8% considered carrying capacity as an index or value. The most frequent kind of assessment centered on people/visitors/tourists per day (18%) and the amount of litter (8%).

4. Discussion

This systematic quantitative literature review evaluated 100 original research papers from three repositories of scientific publications. The analysis provides insight into the methods used to assess carrying capacity, trends, locations, settings, and assessments of carrying capacity that were made in the past two decades. Four main findings from the analysis were identified: the differences between the methods of assessing carrying capacity, limitations, issues, and the gaps in carrying capacity research.

4.1. The Differences between the Methods of Assessing Carrying Capacity

The normative approach and Cifuentes Arias’ method were the two most commonly used methods in assessing carrying capacity. As shown by the publication trend, Cifuentes Arias’ method was slightly “younger” or “more active” compared to the normative approach, since 90% of publications using this method were published post-2011. Cifuentes Arias’ method was pioneered by Cifuentes Arias [59,60], and the normative approach originated from visitor management frameworks developed in the USA, such as Limit Acceptable Change (LAC), Visitor Experience Resource Protection (VERP), and Visitor Use Management (VUM). The normative approach was predominantly utilized in the USA and in wilderness settings, whereas Cifuentes Arias’ method was employed mainly by studies in Brazil, China, and Iran in beach and urban environments.
A total of 24 methods of assessing carrying capacity were developed based on different procedures. Each method differed from the others, and there was no standardized formula for determining the carrying capacity [61]. However, these methods shared a similar goal based on two different fundamentals of carrying capacity. The first fundamental put weight on the maximum number of visitors, and the second accentuated the level of acceptable use.
Cifuentes Arias’ method consists of three sequential formulas: PCC, RCC, and ECC. The formulation of PCC considers the size of the recreation setting and the area required for one visitor per m2 (V/a) to find the acceptable number of users that can be accommodated in an area of a recreational setting. The use of V/a varies depending on the activity type and area size [62,63,64,65].
The second formula is the RCC, sometimes used and known as Ecological Carrying Capacity. The formula is the maximum permissible number of visits to a site once the corrective factors have been applied to the PCC. Corrective factors can be in the form of environmental conditions such as the rainy and windy season [62,64,65,66,67,68,69], ecological conditions that are vulnerable to human use [62,64,66,67,70], and wildlife mating season [66]. By applying the corrective factors, the number of visitors that can physically accommodate an area (PCC) is further optimized based on RCC.
The last formula of Cifuentes Arias’ method is the ECC, also known as Tourism Carrying Capacity (TCC). The number of people or visitors determined via RCC is again optimized by considering management capacities, such as the number of personnel available [64,65,66,69,71], infrastructure and equipment [67,70], and capacity index [63]. The product of Cifuentes Arias’ method is almost solely based on the maximum number of visitors (per day/month/year/at one time). Therefore, it is associated with a definition of carrying capacity that emphasizes the maximum/optimum/acceptable number of tourists or visitors that may visit a destination without causing damage to the physical environment, as well as visitor experience satisfaction [72].
Other methods that have a similar foundation of carrying capacity are a proportion curve and regression model [73,74], the optimum boating capacity formula [75,76], a fuzzy coefficient and linear programming model [77,78], and the tourism environmental carrying capacity formula [79]. These methods tap the perspective of residents’ attitudes and quality of life [80,81] in determining the carrying capacity and thus could also be grouped as methods that gravitate toward the maximum number of people acceptable in tourist destinations.
In contrast, the normative approach method is based on the second fundamental of carrying capacity that emphasizes how much recreational use or the amount of use that can be allowed to address the carrying capacity [61,82]. Originating from visitor management frameworks, carrying capacity based on this method emphasizes at least three considerations before it can be determined. The first is that carrying capacity is a product of value judgment [61,83,84,85,86,87,88,89,90]. Second, it depends on management objectives, desired conditions, budget allocation, and available staff [61]. The third is that the carrying capacity is determined by management zones’ objectives, and the carrying capacity of each zone may vary depending on the objectives specified for the zone. Lastly, it requires the determination of indicators or indicators of quality and the specification of a standard or a standard of quality.
The key takeaway of this method is that it requires identifying indicators and specifying the standards that define the quality of the recreation resource [34,36,37,38,39,40,41,42,43,44,45,46,47,48,61,85,91,92]. The indicators could be determined by examining the state of the recreation and tourism resource quality, such as the environmental and social impacts as well as the managerial influences that are likely to be the factors that would influence visitor experiences [93,94,95]. A standard is principally determined by norms, i.e., typical, common, or generally accepted references within a social context [14,16,91,96,97,98,99,100,101,102,103,104,105,106,107].
Norms play an essential role in finding a consensus among users, stakeholders, and management on a standard for indicators. Hence, it is the product of a value judgment. A visual approach, such as computer-edited photographs showing a range of conditions related to the indicators, is often utilized to assess the norms, i.e., the standards. The norms are then plotted using the return potential model (social norm curve) [108] to determine the amount of use acceptable for the carrying capacity indicators.
In addition, indicators and standards play essential roles in monitoring purposes [85,86,91]. The indicator variables can be tracked over time to ensure that the carrying capacity is within the standard [91]. Other methods with a history of being employed along with the normative approach are methods using crowding [109,110,111,112,113] and indifference curve analysis to determine trade-offs between the amount of recreational use and the surroundings [114]. In addition, methods such as the tourism carrying capacity index [115], choice experiment methods [116,117], the tourism carrying capacity formula [118], the time-for-time substitution model, and individual-based and system dynamics models [119] are also aligned with the second fundamental of carrying capacity, as these methods are developed to monitor changes related to tourism destinations’ environmental, social, and managerial conditions.

4.2. Limitations of the Two Fundamentals of Carrying Capacity

Based on the documented methods, it is apparent that there are two different fundamentals of carrying capacity. The differences lie in the tenets of carrying capacity that are applied. First, carrying capacity is seen as the capacity of a tourism destination or a recreation resource to hold/tolerate/absorb visitors or activities before changes to the physical and social environment and visitor experience occur [117]. Given the output of the measurement and formula used, a carrying capacity that is based on this fundamental postulate shows that the level of use directly influences the degradation of the physical environment and visitors’ experiences.
Nevertheless, carrying capacity based on such fundamentals has been criticized for depending on a “magic number” to solve the issues surrounding tourism and recreation resources [88,120]. The main criticism is that the link between the amount of use and the impact on the physical environment is not always direct, as degradation of the physical environment or recreation or tourism impacts are also influenced by the timing of use, type of use, use distribution, setting types, and management actions [85,86,120,121]. Advances in the recreation ecology field of research have demonstrated that the magnitude of the recreational impact is more prevalent during its initial development [122,123]. Ergo, a carrying capacity aligned with limiting the amount of use is considered ineffective [85,86,91,124,125], as it could not generate stability between resource protection and visitor use [86,126,127,128].
Thus, carrying capacity based on the amount of acceptable use has been developed, since changes in environmental conditions or visitor experience will occur nonetheless [85,91], even at a low or high level of use. Sooner or later, the changes will become unacceptable. This foundation of carrying capacity puts weight on indicators and standards by defining the level of environmental protection to be maintained and the type of visitor experience to be offered. It is also important to note that via visitor management frameworks such as the LAC and VERP, the involvement of stakeholders and visitors is considered in formulating the level of use that would be acceptable for the recreation and tourism settings.
The method associated with the amount of use has, however, been criticized for the issue of displacement. Visitors who are daunted by increasing use levels in an area tend to move to other areas, and they are replaced in the former area by users who have a greater tolerance for environmental, social, and managerial changes [54]. However, visitor displacement could be managed via management strategies or used as the indicator’s variables [129,130,131]. In addition, norms associated with the level of use in recreation settings have been found to be stable over time [99,132,133].

4.3. Issues in the Carrying Capacity of Tourism Destinations

Carrying capacity was introduced in recreation resources in the 1960s and was soon adopted into the tourism context [54]. In the earlier phase of its development, carrying capacity was defined as the maximum number of people an area can sustain without impairing the integrity of its resources. The definition was then extended to include an experiential component, as environmental impacts also threatened visitors’ experiences. The current review revealed that the methods used to formulate carrying capacity in tourism destinations and recreation resources are interchangeable.
Nonetheless, some methods were developed specifically for tourism destinations (e.g., [77,78,115,116,119]). Carrying capacity based on these methods was formulated at the regional level involving enormous data encompassing economic indicators (e.g., tourism income, labor force, and per capita GDP), infrastructure (e.g., accommodations, restaurants, and road networks), ecology and resources (e.g., water quality, air quality, and solid waste), and social indicators (e.g., tourist satisfaction and resident satisfaction). The tourism carrying capacity developed based on such indicators may be beyond the control of management or authorities, as it requires political will and policy changes to ensure its effectiveness.
On the other hand, carrying capacity from the recreation perspective revolves around resources (e.g., campsite impacts, trail impacts, and litter), experiential issues (e.g., crowding), and managerial conditions (e.g., permits offered, facilities provided) of the location under investigation. Carrying capacity using recreation resources was developed mainly for the local conditions. Thus, managing such a capacity could be within the management’s capability.

4.4. Gaps in Carrying Capacity Research

This review has revealed that many carrying capacity studies have been carried out in the established area. Whittaker et al. [61] have argued that carrying capacity can be formulated proactively before impacts occur. Thus, there is a shortcoming in the literature that warrants the need to develop a comprehensive method for formulating the carrying capacity for a newly established recreation and tourism destination area. Moreover, the methods of assessing carrying capacity that have been used over the past two decades have centered on formulating the capacity, thus leaving a gap in the literature regarding the research and procedures for carrying capacity monitoring, which is crucial for the sustainability of a recreation and tourism destination.
In addition, this review has discovered that the most attention has been given to the social aspects of carrying capacity, which account for nearly 70% of the total carrying capacity assessments recorded in this study. The carrying capacity is governed by the resource, experiential (social), and managerial conditions of recreation resources [46]. Similarly, the nature-based recreation experience model [134] states that social elements, components of resources (i.e., nature-oriented details and scenic values), and management influences shape the quality of visitor experience. Further, the carrying capacity, as is its universal definition, emphasizes the importance of the physical environment and the quality of tourist satisfaction (see [135]). Thus, resource and managerial conditions are equally important in a recreation and tourism destination in addition to the social aspects.
The type of resource assessment most frequently recorded in this study focuses on campsites (e.g., the bare ground on a campsite, the area erosion, and the number of human impacts) and on the threshold or standards for litter accumulation. Only a few studies were designed to formulate the carrying capacity of resource conditions, especially on trails. Given the growth of ecotourism destinations in many countries, the length and spread of trail networks could be expanding in many of the recreation and tourism resources worldwide [58]. Additionally, a staggering 30 million users from 190 countries registered as users of the AllTrails mobile app in 2021 [136]. This enormous number of users warrants more research regarding the carrying capacity of the trail’s resources and managerial conditions for more sustainable use of recreation and tourism settings.
Recreational impacts on soil, vegetation, and wildlife have been well researched, especially in the USA and Australia. However, the magnitude and types of impacts can be ecosystem-specific [18,137]. In addition, most of the research on recreational impacts looks at urban and temperate broadleaf and mixed forest, and only 1% has focused on tropical area [58]. Similarly, this study has revealed very few carrying capacity studies in tropical regions; these are limited to Indonesia, Malaysia, Sri Lanka, and Puerto Rico. Since the formulation of carrying capacity goes in tandem with recreational impact assessment, more resource-oriented carrying capacity studies need to be carried out in tropical regions.
Another area of focus for carrying capacity studies is that of threatened plant communities [58]. As suggested, such areas are underrepresented in the existing impact studies, especially in visitor-laden areas such as mountaintops, waterfalls, cliffs, or areas in which rare species of vegetation are found. Furthermore, the standard of the night sky is another resource-based carrying capacity that needs attention. The issue of the disappearing night sky due to light pollution, particularly in urban and rural environments, has encouraged more people to explore wilderness settings to enjoy the night sky. Light pollution from surrounding areas and excessive outdoor lighting in these settings could jeopardize the opportunity to view the night sky in the wilderness. Although Manning et al. [138] provided one of the earlier efforts to formulate a standard of the night sky in Acadia National Park, USA, more research on the night sky standard is undoubtedly needed in many recreation and tourism resources worldwide.

5. Conclusions

5.1. Study Limitations

First, this study was confined by the limited number of repositories in the search process. Repositories such as the Web of Science and Academic Search Complete are the two most common repositories used for systematic literature review research [49,50,56,139]. However, this study was limited to the repositories to which the institution in which this study was carried out subscribes. Nonetheless, this study was able to document 100 original research papers despite such a limitation, which is comparable to other systematic literature review studies [56,58].
Second, this study was limited by the number of keywords used for the search. Keywords that were excluded from this review, such as psychological/perceptual carrying capacity, economic carrying capacity, carrying capacity index, sustainable recreation, and tourism management, as well as other types of publications that were also excluded, could uncover other dimensions of carrying capacity studies that were not discussed in this review.
Third, this study was constrained to a review of the methods used for carrying capacity determination. It would be interesting for future systematic literature review studies to record and discuss the variation in the definitions of carrying capacity as well as in the carrying capacity types that encapsulate carrying capacity research. For example, social carrying capacity sometimes refers to the maximum level of recreational use beyond which the quality of the recreational experience depreciates from the perspective of visitors [140,141] or the host population’s tolerance level for tourists’ presence and behavior in the destination area [142,143].
Fourth, this study was bound to publications that were published in the English language. Non-English language research papers were excluded, as translation into the English language was beyond the authors’ expertise. In addition, excluding non-English language research papers may not alter the trend of scientific studies [58] or result in a bias [144]. The results of this study have shown that carrying capacity studies have been published by countries with different official languages. Therefore, it may be assumed that the research papers reviewed in this study cover most of the significant publications on carrying capacity studies.

5.2. Contributions, Implications, and Future Studies

This review has yielded several significant findings for future carrying capacity studies. The first is associated with the carrying capacity fundamental. Carrying capacity related to limiting the maximum number of people in an area has been criticized by many researchers in the past [86,91,120,128]. This criticism has led to the development of carrying capacity fundamentals that accentuate the amount of acceptable use, as outlined in several management frameworks such as the LAC, VERP, and VUM. Despite this criticism, this fundamental carrying capacity is receiving more attention lately, as nearly 60% of the studies reviewed were published in the last five years. Since the fundamental of a carrying capacity is encapsulated by its definition, this study calls for improving the definition of carrying capacity by emphasizing the importance of the amount of acceptable use and monitoring environmental and experiential changes via indicators and standards of carrying capacity.
The second finding of this study is the need to develop an approach to determine carrying capacity ahead of environmental and experiential changes. As shown in the results, the carrying capacity studies that were reviewed were conducted in the already established recreation and tourism resources area. The available methods depend on the presence of visitors and the degree of impact on the site, as the inventory and assessment of environmental changes are prerequisites in specifying carrying capacity. However, in a newly established area in which the presence of visitors and impacts are absent, or for the case in which the base data regarding the impacts or the changes to the environmental conditions are unavailable, the formulation of carrying capacity needs to be addressed. It has been argued that formulating carrying capacity ahead of time requires thoughtful consideration and professional judgment [61]. Alternatively, a new method could be developed, or the available methods could be integrated to specify the capacity ahead of time for newly established areas of tourism and recreation resources. For example, Cifuentes Arias’ method and the normative approach could be integrated to determine capacity related to crowding. Nonetheless, the formula must be adjusted to accurately reflect the onsite condition.
The third finding is the need for more research on carrying capacity that reflects the resources and managerial conditions of recreation and tourism resources. Most of the reviewed studies center on social conditions. Thus, more research on carrying capacity with respect to resource and managerial conditions is needed, as both are vital components of recreation and tourism settings. Granted, some of the methods employed in the papers here gravitate toward the maximum number of people in an area by considering resource, social, and economic limitations. However, since changes are inevitable, indicators and standards/thresholds of the resource and managerial conditions should be established to ensure that these conditions can be monitored over time.
Concerning managerial implications, as shown in the review, establishing carrying capacity requires comprehensive base data (e.g., resource conditions, visitation growth, level of visitor experience quality, and management capacities). Thus, developing strategies for time-series base data development, especially on the resource’s conditions, is crucial to establish a sound carrying capacity that reflects the conditions onsite. Furthermore, as emphasized by the carrying capacity based on the acceptable use amount, carrying capacity should be employed with indicators for monitoring purposes. Monitoring indicator variables (e.g., resource, experiential, and managerial conditions) is imperative to ensure that the standards/thresholds of carrying capacity are acceptable.
Fourth, more research is needed or methods could be developed to monitor the effectiveness of the carrying capacity that has been implemented. In addition, carrying capacity in a tourism destination is formulated based on comprehensive data such as the economic, infrastructure, ecological/resource, and social indicators. As these indicators involve different parties with different aims and needs, implementing such a capacity may require political and policy changes. Ergo, future studies that monitor the indicators are crucial for protecting natural resources, maintaining sustainable tourism, balancing economic benefits and environmental impacts, addressing overcrowding, and supporting local communities.

5.3. Conclusions

This study reviewed 100 original peer-reviewed carrying capacity research papers published from 2000 to October 2022. Twenty-four methods were recorded, with the normative approach and Cifuentes Arias’ method being the two primary methods used in determining the carrying capacity of recreation and tourism resources. Carrying capacity studies have been carried out in previously established areas with issues related to environmental and experiential changes present onsite. This systematic literature review has also showed that the methods used to assess carrying capacity were governed by two fundamentals. Carrying capacity associated with a maximum/acceptable/optimum number of visitors/tourists in an area has been criticized for depending on a “magic number”, whereas the normative approach has been criticized for the issue of displacement. However, the two primary methods of assessing carrying capacity could be combined, especially in a newly established area in which the carrying capacity could be implemented before recreational impacts take place, especially regarding issues related to crowding. In addition, carrying capacity in tourism is based on complex data, where some of the data or indicators are outside the control of the destination and thus may require political will and policy changes to be implemented. Therefore, monitoring the effectiveness of the carrying capacity implemented is crucial to ensure its effectiveness. Most of the carrying capacity assessments noted have focused on social aspects. As resource and managerial conditions are also components of carrying capacity, monitoring the changes in these two conditions is vital for the sustainability of the recreation and tourism destination. As such, more studies are needed regarding the resource and managerial aspects of carrying capacity.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/su15043474/s1.

Author Contributions

Conceptualization by Z.A., A.A., S.S.N.Y., M.M. and S.A.B.; literature review, data analysis, writing—original draft preparation, Z.A. and S.A.B.; writing—review and editing, Z.A., A.A., S.S.N.Y., M.M. and S.A.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ganji, S.F.G.; Johnson, L.W.; Sadeghian, S. The effect of place image and place attachment on residents’ perceived value and support for tourism development. Curr. Issues Tour. 2021, 24, 1304–1318. [Google Scholar] [CrossRef]
  2. Daryanto, A.; Song, Z. A meta-analysis of the relationship between place attachment and pro-environmental behavior. J. Bus. Res. 2021, 123, 208–219. [Google Scholar] [CrossRef]
  3. Kastenholz, E.; Marques, C.P.; Carneiro, M.J. Place attachment through sensory-rich, emotion-generating place experiences in rural tourism. J. Destin. Mark. Manag. 2020, 17, 100455. [Google Scholar] [CrossRef]
  4. Kim, M.; Koo, D.W. Visitors’ pro-environmental behavior and the underlying motivations for natural environment: Merging dual concern theory and attachment theory. J. Retail. Consum. Serv. 2020, 56, 102147. [Google Scholar] [CrossRef]
  5. Sharma, R.; Gupta, A. Pro-environmental behavior among tourists visiting national parks: Application of value-belief-norm theory in an emerging economy context. Asia Pac. J. Tour. Res. 2020, 25, 829–840. [Google Scholar] [CrossRef]
  6. Ojedokun, O.; Henschel, N.; Arant, R.; Boehnke, K. Applying the theory of planned behavior to littering prevention behavior in a developing country (Nigeria). Waste Manag. 2022, 142, 19–28. [Google Scholar] [CrossRef] [PubMed]
  7. Tang, S.; Duan, Z.; Chen, W.; Qiao, H. Research on post occupancy evaluation of Oze National Park in Japan based on online reviews. J. Asian Archit. Build. Eng. 2022, 1–18. [Google Scholar] [CrossRef]
  8. Taff, B.D.; Thomsen, J.; Rice, W.L.; Miller, Z.; Newton, J.; Miller, L.; Gibson, A.; Riddle, M.; Schaberl, J.P.; McCormick, M. US national park visitor experiences during COVID-19: Data from Acadia, Glacier, Grand Teton, Shenandoah, and Yellowstone National Parks. Park. Steward. Forum 2022, 38, 45–159. [Google Scholar] [CrossRef]
  9. Bhati, A. Tourism research and tackling vandalism: Shifting the approach. Tour. Hosp. Res. 2022; online first. [Google Scholar] [CrossRef]
  10. Hockett, K.S.; Marion, J.L.; Leung, Y.F. The efficacy of combined educational and site management actions in reducing off-trail hiking in an urban-proximate protected area. J. Environ. Manag. 2017, 203, 17–28. [Google Scholar] [CrossRef]
  11. D’Antonio, A.; Monz, C.; Larson, N.; Rohman, A. An application of recreation resource assessment techniques to inform management action in an urban-proximate natural area. J. Outdoor Recreat. Tour. 2016, 14, 12–21. [Google Scholar] [CrossRef]
  12. Ajuhari, Z.; Isa, S.S.; Aziz, A. Promoting Pro-Environmental Behavior in Ecotourism Destination. In Regional Conference on Science, Technology and Social Sciences (RCSTSS 2014); Abdullah, M., Yahya, W., Ramli, N., Mohamed, S., Ahmad, B., Eds.; Springer: Singapore, 2016; pp. 1023–1039. [Google Scholar] [CrossRef]
  13. Moore, R.L.; Leung, Y.F.; Matisoff, C.; Dorwart, C.; Parker, A. Understanding users’ perceptions of trail resource impacts and how they affect experiences: An integrated approach. Landsc. Urban Plan. 2012, 107, 343–350. [Google Scholar] [CrossRef]
  14. Enseñat-Soberanis, F.; Blanco-Gregory, R.; Mondragón-Mejía, J.; Simoes, N.; Moreno-Acevedo, E.; Ortega, I. Crowding standards and willingness to pay at cenotes (sinkholes) of the Yucatan Peninsula: A comparative analysis of local, national and international visitors. J. Ecotour. 2020, 19, 1–22. [Google Scholar] [CrossRef]
  15. Cribbs, T.W.; Sharp, R.L.; Brownlee, M.T. Evaluating the influence of photo order on park visitors’ perceptions of crowding at Buffalo National River. Leis. Sci. 2019, 44, 634–652. [Google Scholar] [CrossRef]
  16. Hallo, J.C.; Brownlee, M.T.; Hughes, M.D.; Fefer, J.P.; Manning, R.E. The experiential carrying capacity of a barrier island: A norm-based approach at Cumberland Island National Seashore. Tour. Mar. Environ. 2018, 13, 121–140. [Google Scholar] [CrossRef]
  17. Rawat, M.; Jägerbrand, A.K.; Molau, U.; Bai, Y.; Alatalo, J.M. Visitors off the trail: Impacts on the dominant plant, bryophyte and lichen species in alpine heath vegetation in sub-arctic Sweden. Environ. Chall. 2021, 3, 100050. [Google Scholar] [CrossRef]
  18. Pickering, C.M.; Hill, W. Impacts of recreation and tourism on plant biodiversity and vegetation in protected areas in Australia. J. Environ. Manag. 2007, 85, 791–800. [Google Scholar] [CrossRef]
  19. Martin, R.H.; Butler, D.R. Trail morphology and impacts to soil induced by a small mountain bike race series. J. Outdoor Recreat. Tour. 2021, 35, 100390. [Google Scholar] [CrossRef]
  20. Peterson, B.A.; Brownlee, M.T.; Marion, J.L. Mapping the relationships between trail conditions and experiential elements of long-distance hiking. Landsc. Urban Plan. 2018, 180, 60–75. [Google Scholar] [CrossRef]
  21. Cooke, M.T.; Xia, L. Impacts of land-based recreation on water quality. Nat. Areas J. 2020, 40, 179–188. [Google Scholar] [CrossRef]
  22. Marasinghe, S.; Perera, P.; Simpson, G.D.; Newsome, D. Nature-based tourism development in coastal wetlands of Sri Lanka: An Importance–Performance analysis at Maduganga Mangrove Estuary. J. Outdoor Recreat. Tour. 2021, 33, 100345. [Google Scholar] [CrossRef]
  23. DaRugna, O.A.; Chizinski, C.J.; Pope, K.L.; Powell, L.A.; Kaemingk, M.A. Visualizing social-ecological intensities for management of recreation visitors in a multiuse system. J. Environ. Manag. 2022, 304, 114224. [Google Scholar] [CrossRef]
  24. Ma, A.T.; Ng, S.L.; Cheung, L.T.; Lam, T.W. The effectiveness of bird hides in mitigating recreational disturbances of birdwatchers. J. Nat. Conserv. 2022, 67, 126181. [Google Scholar] [CrossRef]
  25. Marion, S.; Davies, A.; Demšar, U.; Irvine, R.J.; Stephens, P.A.; Long, J. A systematic review of methods for studying the impacts of outdoor recreation on terrestrial wildlife. Glob. Ecol. Conserv. 2020, 22, e00917. [Google Scholar] [CrossRef]
  26. Franchina, R.; Collins, R.; Colvin, C.; Pitt, A.; Merigliano, L.; Tristant, E. Bold Moves for Visitor Use Management: Public Health, Public Engagement and Justice, Equity, Diversity, and Inclusion. J. Park Recreat. Adm. 2022, 40, 207–215. [Google Scholar] [CrossRef]
  27. Ednie, A.; Gale, T.; Beeftink, K.; Adiego, A. Connecting protected area visitor experiences, wellness motivations, and soundscape perceptions in Chilean Patagonia. J. Leis. Res. 2022, 53, 377–403. [Google Scholar] [CrossRef]
  28. Dogru-Dastan, H. A chronological review on perceptions of crowding in tourism and recreation. Tour. Recreat. Res. 2022, 47, 190–210. [Google Scholar] [CrossRef]
  29. Amissah, E.F.; Addison-Akotoye, E.; Blankson-Stiles-Ocran, S. Service Quality, Tourist Satisfaction, and Destination Loyalty in Emerging Economies. In Marketing Tourist Destinations in Emerging Economies; Mensah, I., Balasubramaniam, K., Jamaluddin, M.R., Alcoriza, G., Gaffar, M., Rasoolimananesh, S.M., Eds.; Palgrave Macmillan: London, UK, 2022; pp. 121–147. [Google Scholar] [CrossRef]
  30. Ramesh, V.; Jaunky, V.C. The tourist experience: Modelling the relationship between tourist satisfaction and destination loyalty. Mater. Today Proc. 2021, 37, 2284–2289. [Google Scholar] [CrossRef]
  31. Wagar, J.A. Recreational carrying capacity reconsidered. J. For. 1974, 72, 274–278. [Google Scholar] [CrossRef]
  32. Lucas, R. The Recreational Capacity of the Quetico-Superior Area; USDA Forest Service Research Paper LS-15; Lake States Forest Experiment Station, Forest Service, U.S. Department of Agriculture: St. Paul, MN, USA, 1964.
  33. Wagar, J.A. The Place of Carrying Capacity in the Management of Recreation Lands. In Third Annual Rocky Mountain-High Plains Park and Recreation Conference Proceedings; Colorado State University: Fort Collins, CO, USA, 1968. [Google Scholar]
  34. Lime, D.; Stankey, G. Carrying Capacity: Maintaining Outdoor Recreation Quality. In Recreation Symposium Proceedings; Larson, F.v.H., Ed.; USDA Forest Service: Washington, DC, USA, 1971; pp. 174–184. [Google Scholar]
  35. Frissell, S.; Stankey, G. Wilderness Environmental Quality: Search for Social and Ecological Harmony. In Proceedings of the Society of American Foresters Annual Conference; Society of American Foresters: Hot Springs, AR, USA, 1972; pp. 170–183. Available online: https://usaforests.org/wp-content/uploads/2017/11/soafsmall.pdf (accessed on 24 October 2022).
  36. Lucas, R.; Stankey, G. Social Carrying Capacity for Backcountry Recreation. Outdoor Recreation Research: Applying the Results; USDA Forest Service General Technical Report NC-9; USDA Forest Service: Washington, DC, USA, 1974; pp. 14–23.
  37. Bury, R.L. Recreation carrying capacity--hypothesis or reality. Park. Recreat. 1976, 11, 22–25. [Google Scholar]
  38. Brown, P. Information Needs for River Recreation Planning and Management. In Proceedings of the River Recreation Management and Research Symposium; USDA Forest Service General Technical Report NC-28; USDA Forest Service: Washington, DC, USA, 1977; pp. 193–201. Available online: https://scholarworks.umt.edu/forest_pubs/32/ (accessed on 24 October 2022).
  39. Hendee, J.; Clark, R.; Daily, T. Fishing and Other Recreation Behavior at High Mountain Lakes in Washington State; USDA Forest Service Research Note PNW-304; USDA Forest Service: Washington, DC, USA, 1977.
  40. Stankey, G.; Cole, D.; Lucas, R.; Peterson, M.; Frissell, S.; Washburne, R. The Limits of Acceptable Change (LAC) System for Wilderness Planning; USDA Forest Service General Technical Report INT-176; USDA Forest Service: Washington, DC, USA, 1985.
  41. Stankey, G.; Manning, R.E. Carrying Capacity of Recreation Settings. A Literature Review: The President’s Commission on Americans Outdoors; Government Printing Office: Washington, DC, USA, 1986; pp. M-47–M-57.
  42. Graefe, A.R.; Kuss, F.R.; Vaske, J.J. Visitor Impact Management: The Planning Framework; National Parks and Conservation Association: Washington, DC, USA, 1990; Volume 2. [Google Scholar]
  43. Shelby, B.; Brown, T.C.; Baumgartner, R. Effects of streamflow on river trips on the Colorado River in Grand Canyon, Arizona. Rivers 1992, 3, 191–201. [Google Scholar]
  44. Lime, D.W. Principles of carrying capacity for parks and outdoor recreation areas. Acta Environ. Univ. Comen. 1995, 4–5, 21–29. Available online: https://fns.uniba.sk/en/sluzby/journal-of-acta-environmentalica-uc-bratislava/1993-2002/vol-4-5-1995/ (accessed on 25 November 2022).
  45. Manning, R.E.; Lime, D.W.; Hof, M.; Freimund, W.A. The visitor experience and resource protection (VERP) process: The application of carrying capacity to Arches National Park. George Wright Forum 1995, 12, 41–55. Available online: https://www.jstor.org/stable/43597433 (accessed on 24 October 2022).
  46. Manning, R.E.; Lime, D. Crowding and carrying capacity in the national park system: Toward a social science research agenda. In Crowding and Congestion in The National Park System: Guidelines for Management and Research; University of Minnesota Agricultural Experient Station Publication: St. Paul, MN, USA, 1996; Volume 86, pp. 27–65. [Google Scholar]
  47. Manning, R.E.; Freimund, W.A.; Lime, D.W.; Pitt, D.G. Crowding norms at front country sites: A visual approach to setting standards of quality. Leis. Sci. 1996, 18, 39–59. [Google Scholar] [CrossRef]
  48. Manning, R.E. Social carrying capacity of parks and outdoor recreation areas. Park. Recreat. 1997, 32, 32–38. [Google Scholar]
  49. Li, J.; Weng, G.; Pan, Y.; Li, C.; Wang, N. A scientometric review of tourism carrying capacity research: Cooperation, hotspots, and prospect. J. Clean. Prod. 2021, 325, 129278. [Google Scholar] [CrossRef]
  50. Perry, E.E.; Xiao, X.; Iretskaia, T.A.; Li, P.; Manning, R.E.; Valliere, W.A.; Reigner, N.P. A review of digitalization and sustainability in parks and recreation indicators and thresholds research. J. Outdoor Recreat. Tour. 2022, 39, 100550. [Google Scholar] [CrossRef]
  51. Zhong, L.; Deng, J.; Song, Z.; Ding, P. Research on environmental impacts of tourism in China: Progress and prospect. J. Environ. Manag. 2011, 92, 2972–2983. [Google Scholar] [CrossRef]
  52. Li, C.; Cheng, S.K.; Chen, Y.S. A review of the study of China’s tourism carrying capacity in the past two decades. Geogr. Res. 2009, 28, 235–245. [Google Scholar] [CrossRef]
  53. Yang, X.; Weng, G. A review of studies on tourism environment carrying capacity. Tour. Trib. 2019, 34, 96–105. [Google Scholar] [CrossRef]
  54. Butler, R.W. Tourism carrying capacity research: A perspective article. Tour. Rev. 2019, 75, 207–2011. [Google Scholar] [CrossRef]
  55. Wei, Y.; Huang, C.; Lam, P.T.; Yuan, Z. Sustainable urban development: A review on urban carrying capacity assessment. Habitat Int. 2015, 46, 64–71. [Google Scholar] [CrossRef]
  56. Mundher, R.; Abu Bakar, S.; Maulan, S.; Mohd Yusof, M.J.; Al-Sharaa, A.; Aziz, A.; Gao, H. Aesthetic Quality Assessment of Landscapes as a Model for Urban Forest Areas: A Systematic Literature Review. Forests 2022, 13, 991. [Google Scholar] [CrossRef]
  57. Pickering, C.; Byrne, J. The benefits of publishing systematic quantitative literature reviews for PhD candidates and other early-career researchers. High. Educ. Res. Dev. 2014, 33, 534–548. [Google Scholar] [CrossRef]
  58. Ballantyne, M.; Pickering, C.M. The impacts of trail infrastructure on vegetation and soils: Current literature and future directions. J. Environ. Manag. 2015, 164, 53–64. [Google Scholar] [CrossRef]
  59. Cifuentes Arias, M.; Mesquita, C.A.B.; Méndez, J.; Morales, M.E.; Aguilar, N. Capacidad de Carga Turística de las Áreas de Uso Público del Monumento Nacional Guayabo (No. 338.4791 C236c); WWF: Turrialba, Costa Rica, 1999. [Google Scholar]
  60. Cifuentes, M. Determinación de Capacidad de Carga Turística en Áreas Protegidas; Centro Agronómico tropical de Investigación y Enseñanza (CATIE): Turrialba, Costa Rica, 1992; 23p. [Google Scholar]
  61. Whittaker, D.; Shelby, B.; Manning, R.E.; Cole, D.; Haas, G. Capacity reconsidered: Finding consensus and clarifying differences. J. Park Recreat. Adm. 2011, 29, 1–20. [Google Scholar]
  62. Adrianto, L.; Kurniawan, F.; Romadhon, A.; Bengen, D.G.; Sjafrie, N.D.M.; Damar, A.; Kleinertz, S. Assessing social-ecological system carrying capacity for urban small island tourism: The case of Tidung Islands, Jakarta Capital Province, Indonesia. Ocean Coast. Manag. 2021, 212, 105844. [Google Scholar] [CrossRef]
  63. Salemi, M.; Jozi, S.A.; Malmasi, S.; Rezaian, S. Conceptual framework for evaluation of ecotourism carrying capacity for sustainable development of Karkheh protected area, Iran. Int. J. Sustain. Dev. World Ecol. 2019, 26, 354–366. [Google Scholar] [CrossRef]
  64. Corbau, C.; Benedetto, G.; Congiatu, P.P.; Simeoni, U.; Carboni, D. Tourism analysis at Asinara Island (Italy): Carrying capacity and web evaluations in two pocket beaches. Ocean Coast. Manag. 2019, 169, 27–36. [Google Scholar] [CrossRef]
  65. de Sousa, R.C.; Pereira, L.C.; da Costa, R.M.; Jiménez, J.A. Tourism carrying capacity on estuarine beaches in the Brazilian Amazon region. J. Coast. Res. 2014, 70, 545–550. [Google Scholar] [CrossRef]
  66. Sunkar, A.; Lakspriyanti, A.P.; Haryono, E.; Brahmi, M.; Setiawan, P.; Jaya, A.F. Geotourism Hazards and Carrying Capacity in Geosites of Sangkulirang-Mangkalihat Karst, Indonesia. Sustainability 2022, 14, 1704. [Google Scholar] [CrossRef]
  67. Rocha, C.H.B.; Fontoura, L.M.; Vale, W.B.D.; Castro, L.F.D.P.; da Silva, A.L.F.; Prado, T.D.O.; da Silveira, F.J. Carrying capacity and impact indicators: Analysis and suggestions for sustainable tourism in protected areas–Brazil. World Leis. J. 2021, 63, 73–97. [Google Scholar] [CrossRef]
  68. Mota, L.; Franco, M.; Santos, R. Island tourism carrying capacity in the UNESCO Site Laurisilva of Madeira. Isl. Stud. J. 2021, 16, 255–269. [Google Scholar] [CrossRef]
  69. Rahmani, A.; Fakhraee, A.; Karami, S.; Kamari, Z. A quantitative approach to estimating carrying capacity in determining the ecological capability of urban tourism areas (case study: Eram Boulevard of Hamadan city). Asia Pac. J. Tour. Res. 2015, 20, 807–821. [Google Scholar] [CrossRef]
  70. Shokri, M.R.; Mohammadi, M. Effects of recreational SCUBA diving on coral reefs with an emphasis on tourism suitability index and carrying capacity of reefs in Kish Island, the northern Persian Gulf. Reg. Stud. Mar. Sci. 2021, 45, 101813. [Google Scholar] [CrossRef]
  71. Ríos-Jara, E.; Galván-Villa, C.M.; Rodríguez-Zaragoza, F.A.; López-Uriarte, E.; Munoz-Fernández, V.T. The tourism carrying capacity of underwater trails in Isabel Island National Park, Mexico. Environ. Manag. 2013, 52, 335–347. [Google Scholar] [CrossRef]
  72. WTO and UNEP Guidelines: Development of National Parks and Protected Areas for Tourism; UNEP-IE/PAC Technical Report 13; UNEP-IE/PAC: Paris, France, 1992.
  73. Zhang, L.Y.; Chung, S.S.; Qiu, J.W. Ecological carrying capacity assessment of diving site: A case study of Mabul Island, Malaysia. J. Environ. Manag. 2016, 183, 253–259. [Google Scholar] [CrossRef]
  74. Zakai, D.; Chadwick-Furman, N.E. Impacts of intensive recreational diving on reef corals at Eilat, northern Red Sea. Biol. Conserv. 2022, 105, 179–187. [Google Scholar] [CrossRef]
  75. Palomo, L.E.; Hernandez-Flores, A. Integrating a spatial model and decision theory towards optimal boating density and carrying capacity in a recreational fishery. Mar. Policy 2020, 112, 103740. [Google Scholar] [CrossRef]
  76. Lorenz, S.; Pusch, M.T. Estimating the recreational carrying capacity of a lowland river section. Water Sci. Technol. 2012, 66, 2033–2039. [Google Scholar] [CrossRef]
  77. Bertocchi, D.; Camatti, N.; Giove, S.; van der Borg, J. Venice and overtourism: Simulating sustainable development scenarios through a tourism carrying capacity model. Sustainability 2020, 12, 512. [Google Scholar] [CrossRef]
  78. Feliziani, V.; Miarelli, M. How Many Visitors Should There Be in the City: The Case of Rome. Rev. Eur. Stud. 2012, 4, 179. [Google Scholar] [CrossRef]
  79. Huiqin, L.I.; Linchun, H.O.U. Evaluation on sustainable development of scenic zone based on tourism ecological footprint: Case study of Yellow Crane Tower in Hubei Province, China. Energy Procedia 2011, 5, 145–151. [Google Scholar] [CrossRef]
  80. Dioko, L.D.A.; So, A.S. Residents’ quality of life and visitors’ quality of experience: Revisiting tourism carrying capacity in Macao. Worldw. Hosp. Tour. 2017, 9, 349–360. [Google Scholar] [CrossRef]
  81. Saveriades, A. Establishing the social tourism carrying capacity for the tourist resorts of the east coast of the Republic of Cyprus. Tour. Manag. 2000, 21, 147–156. [Google Scholar] [CrossRef]
  82. Manning, R.E. How much is too much? Carrying capacity of national parks and protected areas. In Monitoring and Management of Visitor Flows in Recreational and Protected Areas; Amberger, A., Brandenburg, C., Muhar, A., Eds.; Bodenkultur University Vienna: Vienna, Austria, 2002; pp. 306–313. [Google Scholar]
  83. Bjørn, A.; Richardson, K.; Hauschild, M.Z. A framework for development and communication of absolute environmental sustainability assessment methods. J. Ind. Ecol. 2019, 23, 838–854. [Google Scholar] [CrossRef]
  84. Luque-Gil, A.M.; Gómez-Moreno, M.L.; Peláez-Fernández, M.A. Starting to enjoy nature in Mediterranean mountains: Crowding perception and satisfaction. Tour. Manag. Perspect. 2018, 25, 93–103. [Google Scholar] [CrossRef]
  85. Hammitt, W.E.; Cole, D.N.; Monz, C.A. Wildland Recreation: Ecology and Management, 3rd ed.; John Wiley & Sons: West Sussex, UK, 2015; ISBN 978-1-118-39700-8. [Google Scholar]
  86. Newsome, D.; Moore, S.A.; Dowling, R.K. Natural Area Tourism: Ecology, Impacts, and Management, 2nd ed.; Channel View Publications: New York, NY, USA, 2013; ISBN 978-1-84541-382-8. [Google Scholar]
  87. Stewart, W.P.; Cole, D.N. Number of encounters and experience quality in Grand Canyon backcountry: Consistently negative and weak relationships. J. Leis. Res. 2001, 33, 106–120. [Google Scholar] [CrossRef]
  88. McCool, S.F.; Lime, D.W. Tourism carrying capacity: Tempting fantasy or useful reality? J. Sustain. Tour. 2001, 9, 372–388. Available online: https://www.cabdirect.org/cabdirect/abstract/20023009645 (accessed on 23 October 2022). [CrossRef]
  89. Seidl, I.; Tisdell, C.A. Carrying capacity reconsidered: From Malthus’ population theory to cultural carrying capacity. Ecol. Econ. 1999, 31, 395–408. [Google Scholar] [CrossRef]
  90. Watson, G.L.; Kopachevsky, J.P. Tourist carrying capacity: A critical look at the discursive dimension. Prog. Tour. Hosp. Res. 1996, 2, 169–179. [Google Scholar] [CrossRef]
  91. Manning, R.E. Parks and Carrying Capacity: Commons without Tragedy; Island Press: Washington, DC, USA, 2013; ISBN 978-1-55963-104-4. [Google Scholar]
  92. Manning, R.E. The Limits of Tourism in Parks and Protected Areas: Managing Carrying Capacity in the U.S. National Parks. In Taking Tourism to the Limits: Concepts, Management, Practice; Chris, R., Stephen Page, J., Michelle, A., Eds.; Routledge: London, UK, 2005. [Google Scholar] [CrossRef]
  93. Pearce, J.; Dowling, R. Monitoring the quality of the visitor experience: An evolutionary journey. J. Outdoor Recreat. Tour. 2019, 25, 87–90. [Google Scholar] [CrossRef]
  94. Chin, C.L.M.; Moore, S.A.; Wallington, T.J.; Dowling, R.K. Ecotourism in Bako National Park, Borneo: Visitor perspectives on environmental impacts and their management. J. Sustain. Tour. 2000, 8, 20–35. [Google Scholar] [CrossRef] [Green Version]
  95. Morin, S.L.; Moore, S.A.; Schmidt, W.A.Y.N.E. Defining indicators and standards for recreation impacts in Nuyts Wilderness, Walpole-Nornalup National Park, Western Australia. CALM Sci. 1997, 2, 247–266. [Google Scholar]
  96. Kuentzel, W.F.; Heberlein, T.A.; McCollum, D.W. Why do normative encounter standards change? The social evolution of recreational crowding. J. Leis. Res. 2022, 53, 357–376. [Google Scholar] [CrossRef]
  97. Xiao, X.; Gao, J.; Lu, J.; Li, P.; Zhang, Y. Social carrying capacity and emotion dynamics in urban national parks during the COVID-19 pandemic. J. Outdoor Recreat. Tour. 2021, 100451. [Google Scholar] [CrossRef]
  98. Needham, M.D.; Szuster, B.W.; Bell, C.M. Encounter norms, social carrying capacity indicators, and standards of quality at a marine protected area. Ocean Coast. Manag. 2011, 54, 633–641. [Google Scholar] [CrossRef]
  99. Manning, R.E.; Krymkowski, D.H. Standards of quality for parks and protected areas: Applying normative theory and methods in US national parks. Int. J. Sociol. 2010, 40, 11–29. [Google Scholar] [CrossRef]
  100. Anderson, L.E.; Manning, R.E.; Valliere, W.A.; Hallo, J.C. Normative standards for wildlife viewing in parks and protected areas. Hum. Dimens. Wildl. 2010, 15, 1–15. [Google Scholar] [CrossRef]
  101. Lawson, S.; Newman, P.; Choi, J.; Pettebone, D.; Meldrum, B. Integrated transportation and user capacity research in Yosemite National Park: The numbers game. Transp. Res. Rec. 2009, 2119, 83–91. [Google Scholar] [CrossRef]
  102. Pilcher, E.J.; Newman, P.; Manning, R.E. Understanding and managing experiential aspects of soundscapes at Muir Woods National Monument. Environ. Manag. 2009, 43, 425–435. [Google Scholar] [CrossRef] [PubMed]
  103. Kuentzel, W.F.; Laven, D.; Manning, R.E.; Valliere, W.A. When do normative standards matter most? Understanding the role of norm strength at multiple national park settings. Leis. Sci. 2008, 30, 127–142. [Google Scholar] [CrossRef]
  104. Manning, R.E.; Leung, Y.F.; Budruk, M. Research to support management of visitor carrying capacity of Boston Harbor Islands. Northeast. Nat. 2005, 12, 201–220. [Google Scholar] [CrossRef]
  105. Manning, R.E.; Lime, D.W. Defining and managing the quality of wilderness recreation experiences. In Proceedings of the Wilderness Science in a Time of Change Conference, Wilderness Visitors, Experiences, and Visitor Management, Missoula, MT, USA, 23–27 May 1999; Cole, D.N., McCool, S.F., Borrie, W.T., O’Loughlin, J., Eds.; USDA Forest Service, Rocky Mountain Forest Station: Utah, UT, USA, 2000; Volume 4, pp. 13–52. [Google Scholar]
  106. Manning, R.E.; Valliere, W.A.; Wang, B. Crowding norms: Alternative measurement approaches. Leis. Sci. 1999, 21, 97–115. [Google Scholar] [CrossRef]
  107. Shelby, B.; Vaske, J.J.; Donnelly, M.P. Norms, standards, and natural resources. Leis. Sci. 1996, 18, 103–123. [Google Scholar] [CrossRef]
  108. Jackson, J. A conceptual and measurement model for norms and roles. Pac. Sociol. Rev. 1966, 9, 35–47. [Google Scholar] [CrossRef]
  109. Gonson, C.; Pelletier, D.; Alban, F. Social carrying capacity assessment from questionnaire and counts survey: Insights for recreational settings management in coastal areas. Mar. Policy 2018, 98, 146–157. [Google Scholar] [CrossRef]
  110. Jurado, E.; Dantas, A.G.; da Silva, C.P. Coastal zone management: Tools for establishing a set of indicators to assess beach carrying capacity (Costa del Sol—Spain). J. Coast. Res. 2009, 1125–1129. Available online: https://www.jstor.org/stable/25737962 (accessed on 20 October 2022).
  111. Santiago, L.E.; Gonzalez-Caban, A.; Loomis, J. A model for predicting daily peak visitation and implications for recreation management and water quality: Evidence from two rivers in Puerto Rico. Environ. Manag. 2008, 41, 904–914. [Google Scholar] [CrossRef] [PubMed]
  112. Moore, S.A.; Polley, A. Defining indicators and standards for tourism impacts in protected areas: Cape Range National Park, Australia. Environ. Manag. 2007, 39, 291–300. [Google Scholar] [CrossRef] [PubMed]
  113. Cole, D.N.; Stewart, W.P. Variability of user-based evaluative standards for backcountry encounters. Leis. Sci. 2002, 24, 313–324. [Google Scholar] [CrossRef]
  114. Lawson, S.R.; Manning, R.E. Solitude versus access: A study of tradeoffs in outdoor recreation using indifference curve analysis. Leis. Sci. 2001, 23, 179–191. [Google Scholar] [CrossRef]
  115. Leka, A.; Lagarias, A.; Panagiotopoulou, M.; Stratigea, A. Development of a Tourism Carrying Capacity Index (TCCI) for sustainable management of coastal areas in Mediterranean islands–Case study Naxos, Greece. Ocean Coast. Manag. 2022, 216, 105978. [Google Scholar] [CrossRef]
  116. Wang, Y.; Zhang, J.; Wang, C.; Yu, Y.; Hu, Q.; Duan, X. Assessing tourism environmental psychological carrying capacity under different environmental situations. Asia Pac. J. Tour. Res. 2021, 26, 132–146. [Google Scholar] [CrossRef]
  117. Wang, E.; Wang, Y.; Yu, Y. Assessing recreation carrying capacity of the environment attributes based on visitors’ willingness to pay. Asia Pac. J. Tour. Res. 2017, 22, 965–976. [Google Scholar] [CrossRef]
  118. Wang, J.; Huang, X.; Gong, Z.; Cao, K. Dynamic assessment of tourism carrying capacity and its impacts on tourism economic growth in urban tourism destinations in China. J. Destin. Mark. Manag. 2020, 15, 100383. [Google Scholar] [CrossRef]
  119. Salerno, F.; Viviano, G.; Manfredi, E.C.; Caroli, P.; Thakuri, S.; Tartari, G. Multiple carrying capacities from a management-oriented perspective to operationalize sustainable tourism in protected areas. J. Environ. Manag. 2013, 128, 116–125. [Google Scholar] [CrossRef] [PubMed]
  120. Wall, G. From carrying capacity to overtourism: A perspective article. Tour. Rev. 2020, 75, 212–215. [Google Scholar] [CrossRef]
  121. Monz, C.A.; Pickering, C.M.; Hadwen, W.L. Recent advances in recreation ecology and the implications of different relationships between recreation use and ecological impacts. Front. Ecol. Environ. 2013, 11, 441–446. [Google Scholar] [CrossRef] [PubMed]
  122. Marion, J.L. A review and synthesis of recreation ecology research supporting carrying capacity and visitor use management decision-making. J. For. 2016, 114, 339–351. [Google Scholar] [CrossRef]
  123. Marion, J.L.; Leung, Y.F.; Eagleston, H.; Burroughs, K. A review and synthesis of recreation ecology research findings on visitor impacts to wilderness and protected natural areas. J. For. 2016, 114, 352–362. [Google Scholar] [CrossRef]
  124. Manning, R.E. Studies in Outdoor Recreation: Search and Research for Satisfaction, 3rd ed.; Oregon State University Press: Corvallis, OR, USA, 2011; ISBN 978-0-87071-590-7. [Google Scholar]
  125. Leung, Y.F.; Marion, J.L. Wilderness: A state-of-knowledge review. In Wilderness Science in a Time of Change Conference: Wilderness Ecosystems, Threats, and Management; US Department of Agriculture, Forest Service, Rocky Mountain Research Station: Utah, UT, USA, 2000; Volume 5, p. 23. [Google Scholar]
  126. McCool, S.F.; Clark, R.N.; Stankey, G. An Assessment of Frameworks Useful for Public Land Recreation Planning; US Department of Agriculture, Forest Service, Pacific Northwest Research Station: Portland, OR, USA, 2007.
  127. McCool, S.F.; Patterson, M.E. Trends in recreation, tourism and protected area planning. In Trends in Outdoor Recreation, Leisure and Tourism; Gartner, W.C., Lime, D.W., Eds.; CABI Publishing: New York, NY, USA, 2000; pp. 111–119. [Google Scholar] [CrossRef]
  128. Stankey, G.H.; McCool, S.F.; Stokes, G.L. Managing for appropriate wilderness conditions: The carrying capacity issue. Wilderness Manag. 1990, 2, 215–239. [Google Scholar]
  129. Rice, W.L.; Taff, B.D.; Newman, P.; Miller, Z.D.; D’Antonio, A.L.; Baker, J.T.; Monz, C.; Newton, J.N.; Zipp, K.Y. Grand Expectations: Understanding Visitor Motivations and Outcome Interference in Grand Teton National Park, Wyoming. J. Park Recreat. Adm. 2019, 37, 26–44. [Google Scholar] [CrossRef]
  130. Arnberger, A.; Brandenburg, C. Past on-site experience, crowding perceptions, and use displacement of visitor groups to a peri-urban national park. Environ. Manag. 2007, 40, 34–45. [Google Scholar] [CrossRef] [PubMed]
  131. Schneider, I.E. The prevalence and significance of displacement for wilderness recreation management and research. Int. J. Wilderness 2007, 13, 23–27. [Google Scholar]
  132. Kyle, G.; Landon, A. Shifting setting densities and normative evaluations of recreation experiences over time. Landsc. Urban Plan. 2021, 208, 104034. [Google Scholar] [CrossRef]
  133. Bacon, J.; Manning, R.E.; Johnson, D.; Kamp, M.V. Norm stability: A longitudinal analysis of crowding and related norms in the wilderness of Denali National Park & Preserve. George Wright Forum 2001, 18, 62–71. [Google Scholar]
  134. Dorwart, C.E.; Moore, R.L.; Leung, Y.F. Visitors’ perceptions of a trail environment and effects on experiences: A model for nature-based recreation experiences. Leis. Sci. 2009, 32, 33–54. [Google Scholar] [CrossRef]
  135. Sobhani, P.; Esmaeilzadeh, H.; Sadeghi, S.M.M.; Marcu, M.V. Estimation of Ecotourism Carrying Capacity for Sustainable Development of Protected Areas in Iran. Int. J. Environ. Res. Public Health 2015, 19, 1059. [Google Scholar] [CrossRef]
  136. Perez, S. AllTrails Raises $150M after COVID Accelerates People’s Interest in Exploring the Outdoors. TechCrunch, 17 November 2021. Available online: https://techcrunch.com/2021/11/17/alltrails-raises-150m-after-covid-accelerates-peoples-interest-in-exploring-the-outdoors/(accessed on 30 October 2022).
  137. Bernhardt-Römermann, M.; Gray, A.; Vanbergen, A.J.; Bergès, L.; Bohner, A.; Brooker, R.W.; Bruyn, L.D.; De Cinti, B.; Dirnböck, T.; Grandin, U.A.; et al. Functional traits and local environment predict vegetation responses to disturbance: A pan-European multi-site experiment. J. Ecol. 2011, 99, 777–787. [Google Scholar] [CrossRef]
  138. Manning, R.E.; Rovelstad, E.; Moore, C.; Hallo, J.; Smith, B. Indicators and standards of quality for viewing the night sky in the national parks. Park Sci. 2015, 32, 1–9. [Google Scholar]
  139. Su, X.; Li, X.; Kang, Y. A bibliometric analysis of research on intangible cultural heritage using CiteSpace. Sage Open 2019, 9, 2158244019840119. [Google Scholar] [CrossRef]
  140. Da Silva, C.P. Beach carrying capacity assessment: How important is it? J. Coast. Res. 2002, 36, 190–197. [Google Scholar] [CrossRef]
  141. De Ruyck, M.C.; Soares, A.G.; McLachlan, A. Social carrying capacity as a management tool for sandy beaches. J. Coast. Res. 1997, 13, 822–830. [Google Scholar]
  142. Tokarchuk, O.; Gabriele, R.; Maurer, O. Estimating tourism social carrying capacity. Ann. Tour. Res. 2020, 86, 102971. [Google Scholar] [CrossRef]
  143. Gonzalez, V.M.; Coromina, L.; Gali, N. Overtourism: Residents’ perceptions of tourism impact as an indicator of resident social carrying capacity-case study of a Spanish heritage town. Tour. Rev. 2018, 73, 277–296. [Google Scholar] [CrossRef]
  144. Morrison, A.; Polisena, J.; Husereau, D.; Moulton, K.; Clark, M.; Fiander, M.; Mierzwinski-Urban, M.; Clifford, T.; Hutton, B.; Rabb, D. The effect of English-language restriction on systematic review-based meta-analyses: A systematic review of empirical studies. Int. J. Technol. Assess. Health Care 2012, 28, 138–144. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Modified PRISMA flowchart outlining the process and actions taken to compile research papers. Note: n refers to the number of research papers.
Figure 1. Modified PRISMA flowchart outlining the process and actions taken to compile research papers. Note: n refers to the number of research papers.
Sustainability 15 03474 g001
Table 1. The methods for carrying capacity determination.
Table 1. The methods for carrying capacity determination.
MethodFrequency
Normative approach
Normative approach (visual approach and social norm curve)29
Normative approach and regression model3
Audio recording and social norm curve3
Normative approach and willingness to pay2
Visual approach and stated choice analysis2
Normative approach and contingent valuation method1
Visual approach and Bayesian generalized linear mixed modeling1
Normative approach and level of service of shared-use paths1
Visual approach and regression model1
Scenario of encounter and social norm curve1
Normative approach and audio recording1
Cifuentes Arias’ method and its variants
Physical carrying capacity (PCC), real carrying capacity (RCC), and effective carrying capacity (ECC) formula21
PCC and BCC (beach carrying capacity) formula2
Carrying capacity formula akin to the PCC formula2
Formula akin to PCC and RCC1
Videometric and BCC formula1
PCC and RCC formula1
Ecotourism carrying capacity formula akin to the formula of PCC1
RCC formula1
Cifuentes Arias’ method + normative approach
PCC, RCC, ECC, and visual approach1
PCC and normative approach1
Other methods
Choice experiment method (willingness to pay)2
Proportion curve of divers that damaged hard coral vs. number of divers in the study area and regression model2
Tourism economy carrying capacity system formula, resource carrying capacity system formula, and tourism carrying capacity formula1
Fuzzy coefficient linear programming model1
The linear programming technique1
Pressure-state-response framework—tourism carrying capacity index1
Time-for-time substitution model and individual-based, system dynamics model1
Carrying capacity value stretch model1
Stated choice modeling1
Spatial model and optimum boating density formula1
Ecological carrying capacity formula and social carrying capacity formula1
Tourism environmental carrying capacity formula1
Crowding perception preferred, acceptable, and intolerable threshold values’ estimations and Wilcoxon test1
Residents’ quality of life, visitors’ quality of experience, and regression model1
Visitor survey, satisfaction, and discriminant analysis1
Crowding perception1
Daily visitation model, perceived level of satisfaction model, and regression model1
Number of people acceptable (visitor survey)1
Narrative/numerical research methods1
Indifference curve analysis1
Attitude of the locals, tourist–host inter-relationships, and effects of tourism on social behavior and values1
Note. n = 100.
Table 2. Publication details of the normative approach method.
Table 2. Publication details of the normative approach method.
CategoryFrequency (%)
First author
Manning, R.E.5 (11%)
Needham, M.D. and Hallo, J.C.3 (6.67%)
Six first authors each2 (4.44%)
22 first authors each1 (2.22%)
Publication year since 2000
2011 and 20125 (11.11%)
2005 and 20204 (8.89%)
2009, 2010, 2013, 2015, 2016, and 20193 (6.67%)
2002 and 20222 (4.44%)
2000, 2004, 2006, 2018, and 20211 (2.22%)
Country
USA29 (64.44%)
Canada4 (8.89%)
China3 (6.67%)
Mexico and South Korea2 (4.44%)
Sri Lanka, Japan, Malaysia, Italy, and Jordan1 (2.22%)
Setting
Wilderness30 (66.67%)
Marine5 (11.11%)
Rural and urban2 (4.44%)
Beach, sinkholes, island/monument, coastal/monument, lake/reservoir, and beach1 (2.38%)
Note. n = 45.
Table 3. Publication details of Cifuentes Arias’ method.
Table 3. Publication details of Cifuentes Arias’ method.
CategoryFrequency (%)
First author
de Sousa, R.C.3 (10%)
27 authors each1 (3.33%)
Publication year since 2000
20217 (23.23%)
20195 (16.67%)
20224 (13.33%)
20153 (10%)
2008, 2013, 2017, and 20182 (6.67%)
2011, 2014, and 20201 (3.33%)
Country
Brazil and China5 (16.67%)
Iran4 (13.33%)
Mexico, Spain, and Italy3 (10%)
Indonesia2 (6.67%)
Portugal, Argentina, Serbia, Jordan, and India1 (3.33%)
Setting
Beach13 (43.33%)
Urban6 (20%)
Wilderness5 (16.67%)
Marine and rural2 (6.67%)
Desert/monument and island/coastal1 (3.33%)
Note. n = 30.
Table 4. Publication details of Cifuentes Arias’ method + normative approach and other carrying capacity methods.
Table 4. Publication details of Cifuentes Arias’ method + normative approach and other carrying capacity methods.
CategoryFrequency (%)
Cifuentes Arias’ method + normative approach *
First author
Zacarias, D.A.1 (50%)
Silva, S.F.1 (50%)
Publication year since 2000
2011 and 20131 (50%)
Country
Portugal2 (100%)
Setting
Beach2 (100%)
Other methods **
First author
Lawson, S.R.2 (8.7%)
21 authors each1 (4.35%)
Methods
Choice experiment method (willingness to pay)2 (8.7%)
Proportion curve of divers that damaged hard coral vs. number of divers in the study area and regression model2 (8.7%)
19 methods each1 (4.35%)
Publication year since 2000
2020, 2012, and 20023 (13.04%)
20172 (8.7%)
2022, 2021, 2018, 2016, 2013, 2011, 2009, 2008, 2007, 2006, 2001, and 20001 (4.35%)
Country
China5 (21.74%)
USA3 (13.04%)
Israel and Italy2 (8.7%)
11 countries each1 (4.35%)
Settings
Wilderness8 (34.78%)
Urban5 (21.74%)
Beach and marine3 (13.04%)
Rural and island/coastal2 (8.7%)
Note: * n = 2, ** n = 23.
Table 5. Assessment of carrying capacity by normative approach method.
Table 5. Assessment of carrying capacity by normative approach method.
Carrying Capacity AssessmentFrequency (%)
Social
Number of people at one time22 (32.35%)
Number of boats seen/number of boats at one time6 (8.82%)
People per viewscape4 (5.88%)
Visitor-caused noise/human-caused noise3 (4.41%)
People/visitors/tourists per day2 (2.94%)
Number of people within a meter distance2 (2.94%)
Distance to watch wildlife1 (1.47%)
Size of boating groups1 (1.47%)
Minimum acceptable chance of catching selected types of fish1 (1.47%)
Minimum acceptable chance of seeing selected types of wildlife1 (1.47%)
Density of hikers1 (1.47%)
Percentage of time of human-caused noise1 (1.47%)
Number of cars per meter of distance on the road1 (1.47%)
Off-road vehicle density1 (1.47%)
Density of mountain bikers1 (1.47%)
Number of busses at wildlife stops1 (1.47%)
Number of kayaks per 1500 m1 (1.47%)
Number of vehicles per day1 (1.47%)
Resource
Percentage of bare ground on the campsite5 (7.35%)
Amount of litter2 (2.94%)
Percentage of bare soil on the trail1 (1.47%)
Level of on-trail development1 (1.47%)
Level of off-trail management1 (1.47%)
Damage to vegetation and soil on the trail1 (1.47%)
Trail widening and deepening1 (1.47%)
Level of air quality1 (1.47%)
Amount of graffiti1 (1.47%)
Managerial
Chances of obtaining permit for camping1 (1.47%)
Number of houses along the shore1 (1.47%)
Waiting time to receive permit1 (1.47%)
Note. n = 68.
Table 6. Assessment of carrying capacity by Cifuentes Arias’ method and Cifuentes Arias’ + normative approach *.
Table 6. Assessment of carrying capacity by Cifuentes Arias’ method and Cifuentes Arias’ + normative approach *.
Carrying Capacity Methods and Assessment Frequency (%)
Carrying capacity assessment of Cifuentes Arias’ method *
People/visitors/tourists per day25 (83.33%)
Number of visitors in an area (m or ha)2 (6.67%)
People/visitors/tourists per year1 (3.33%)
Number of people at one time 1 (3.33%)
People/visitors/tourists per month1 (3.33%)
Carrying capacity assessment of Cifuentes Arias’ method + normative approach **
People/visitors/tourists per day2 (100%)
Note: * n = 30, ** n = 2.
Table 7. Assessment of carrying capacity by other methods.
Table 7. Assessment of carrying capacity by other methods.
Carrying Capacity AssessmentFrequency (%)
Social
People/visitors/tourists per day9 (18%)
Number of visitors in an area (m or ha)2 (4%)
Number of people per meter2 (4%)
Number of other groups encountered per day while hiking1 (2%)
Likelihood of being able to camp out of sight and sound of other groups1 (2%)
Number of groups per day1 (2%)
Level of difficulty in obtaining a permit for an overnight wilderness trip1 (2%)
Number of guided dives per site per year1 (2%)
Local community level of tolerance1 (2%)
Number of boats seen/number of boats at one time1 (2%)
Number of vehicles per day1 (2%)
Intensity of restrictions regarding where wilderness visitors are allowed to camp1 (2%)
Optimum boating density in km21 (2%)
Level of visitor awareness1 (2%)
Number of people at one time1 (2%)
Resource
Amount of litter4 (8%)
Percentage of bare ground on the campsite2 (4%)
Level of water visibility2 (4%)
Percentage of vegetation coverage2 (4%)
Amount of human impact at camping sites1 (2%)
Percentage of area erosion1 (2%)
Presence/extent of trails1 (2%)
Family biotic index less of than five1 (2%)
Managerial
Entrance fee charge2 (4%)
Distance of settlement from the river1 (2%)
Number of camping bays1 (2%)
Number of houses along the shore1 (2%)
Number of parking bays1 (2%)
Number of signs1 (2%)
Carrying capacity as an index or value
Carrying capacity index1 (2%)
Tourism economy carrying capacity value1 (2%)
Ecological carrying capacity value1 (2%)
Resource carrying capacity index1 (2%)
Note. n = 50.
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Ajuhari, Z.; Aziz, A.; Yaakob, S.S.N.; Abu Bakar, S.; Mariapan, M. Systematic Literature Review on Methods of Assessing Carrying Capacity in Recreation and Tourism Destinations. Sustainability 2023, 15, 3474. https://doi.org/10.3390/su15043474

AMA Style

Ajuhari Z, Aziz A, Yaakob SSN, Abu Bakar S, Mariapan M. Systematic Literature Review on Methods of Assessing Carrying Capacity in Recreation and Tourism Destinations. Sustainability. 2023; 15(4):3474. https://doi.org/10.3390/su15043474

Chicago/Turabian Style

Ajuhari, Zamru, Azlizam Aziz, Sam Shor Nahar Yaakob, Shamsul Abu Bakar, and Manohar Mariapan. 2023. "Systematic Literature Review on Methods of Assessing Carrying Capacity in Recreation and Tourism Destinations" Sustainability 15, no. 4: 3474. https://doi.org/10.3390/su15043474

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