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Smart Land Use Planning: New Theories, New Tools and New...
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Smart Land Use Planning: New Theories, New Tools and New Practice

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Planning and Landscape Architecture".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 25379

Special Issue Editors

Prof. Dr. Walter T. De Vries

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Guest Editor
School of Engineering and Design, Department of Aerospace and Geodesy, Technical University of Munich (TUM), Arcisstrasse 21, 80333 München, Germany
Interests: land management; land administration; land use planning; cadastre; land information; organizational and institutional aspects of land management
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Fei Li

E-Mail Website
Guest Editor
Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China
Interests: regression simulation of multi-media environmental pollution; intelligent management of regional environmental risks; environmental economic assessment
Special Issues, Collections and Topics in MDPI journals
Dr. Xufeng Cui

E-Mail Website
Guest Editor
School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
Interests: land management; land use planning; land information; geographic information system; natural resources management; agroeconomics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the evolution of geographic information systems, remote sensing, data mining and other technologies, the concepts of land intelligent management, refined planning, big data analysis and intelligent monitoring have moved from theory to practice. Under the influence of a scientific and technological revolution, how new technology can be used to promote smart changes in land use planning and to achieve sustainable land use has become a key issue. Future land use planning is predicted to be based on the network, with the software platform as the center, data as the element and security as the guarantee with the Internet, geographic information systems (GIS), Internet of things (IoT), artificial intelligence (AI), cloud computing and other technologies forming a diversified integrated intelligent system.

For this Special Issue, we are inviting academics and practitioners to describe their practical experiences and insights in this field, while providing a platform for researchers to exchange knowledge on theories, tools and practical experiences in smart land use planning.

  • New theories of smart land use planning;
  • Smart land use planning and remote sensing, big data, blockchain and meta-universe and other advanced technologies;
  • Challenging approaches for smart land use planning methods;
  • Smart land use planning and sustainable development;
  • Smart land use planning and urban governance;
  • Smart land use planning experience and best practices around the world.

Prof. Dr. Walter T. de Vries
Prof. Dr. Fei Li
Prof. Dr. Xufeng Cui
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • smart land use planning
  • big data
  • geographic information system
  • artificial intelligence
  • experience and best practices
  • sustainable land use

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Published Papers (12 papers)

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Editorial

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6 pages, 201 KiB  
Editorial
Smart Land Use Planning: New Theories, New Tools and New Practice
by Xufeng Cui, Fei Li and Walter Timo de Vries
Land 2023, 12(7), 1315; https://doi.org/10.3390/land12071315 - 30 Jun 2023
Viewed by 1334
Abstract
Currently, the world has entered the fourth technological revolution era characterized by intelligence (the era of Industry 4 [...] Full article
(This article belongs to the Special Issue Smart Land Use Planning: New Theories, New Tools and New Practice)

Research

Jump to: Editorial, Review

24 pages, 9502 KiB  
Article
The Heterogeneous Effects of Urban Form on CO2 Emissions: An Empirical Analysis of 255 Cities in China
by Chengye Jia, Shuang Feng, Hong Chu and Weige Huang
Land 2023, 12(5), 981; https://doi.org/10.3390/land12050981 - 28 Apr 2023
Viewed by 941
Abstract
Urban form is closely related to CO2 emissions and the accurate estimation of the impact of urban form on CO2 emissions plays an important role in tackling climate change caused by the emission of greenhouse gases. In this paper, we quantitatively [...] Read more.
Urban form is closely related to CO2 emissions and the accurate estimation of the impact of urban form on CO2 emissions plays an important role in tackling climate change caused by the emission of greenhouse gases. In this paper, we quantitatively investigate the effects of urban form on CO2 emission and its efficiency from three perspectives: urban expansion, compactness, and complexity. By using panel quantile regression with fixed effects, we show that: (1) The estimation results about the relationship between urban form and CO2 emission and its efficiency are consistent with the literature. (2) The partial effects of urban form without controlling for socioeconomic factors are heterogeneous throughout the conditional distribution of CO2 emission and its efficiency. (3) Taking into consideration that the partial effects of urban form on CO2 emission and its efficiency might depend on the magnitude of socioeconomic factors, we include interaction terms into our model and find that the interaction effects between socioeconomic factors and urban form are heterogeneous across cities with different levels of CO2 emission and its efficiency. Our empirical findings shed light on the optimization of urban form in improving the CO2 emission efficiency, providing policy makers with effective ways of reducing CO2 emissions across cities with different levels of CO2 emissions. Full article
(This article belongs to the Special Issue Smart Land Use Planning: New Theories, New Tools and New Practice)
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16 pages, 1137 KiB  
Article
Land Transfer and Rural Household Consumption Diversity: Promoting or Inhibiting?
by Gang Li, Xufeng Cui, Lan Pan and Yufei Wang
Land 2023, 12(1), 203; https://doi.org/10.3390/land12010203 - 08 Jan 2023
Cited by 5 | Viewed by 1708
Abstract
Land resources are important for millions of rural households in China. With the land tenure system reform and the trend of nonfarm employment, land transfer affects household income and consumption diversity significantly. Utilizing the data from the China Family Panel Studies (CFPS) 2018, [...] Read more.
Land resources are important for millions of rural households in China. With the land tenure system reform and the trend of nonfarm employment, land transfer affects household income and consumption diversity significantly. Utilizing the data from the China Family Panel Studies (CFPS) 2018, this study investigated the effects of land transfer on Chinese rural households’ consumption diversity, measured by the Simpson index. In order to mitigate the endogeneity problems caused by reverse causality and selection bias between farmers’ household land transfer decisions and consumption behavior, we employed the propensity score matching (PSM) method and instrumental variable (IV) method. Besides, the Shannon index was also used to measure consumption diversity for the robustness test. The results showed that the rural households who have transferred others’ land in would decrease their consumption diversity, while the households who have transferred their land out would increase their consumption diversity. Heterogeneity analysis showed that land transfer had different degrees of impact on rural households with different income groups and was more significant for low-income households. Specifically, compared with higher-income households, both the promotion effect of land transfer out and the inhibitory effect of land transfer on consumption diversity were more obvious for lower-income households. Full article
(This article belongs to the Special Issue Smart Land Use Planning: New Theories, New Tools and New Practice)
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20 pages, 2008 KiB  
Article
Evaluating Sustainability of Tourism Projects in Rural Land Development Base on a Resilience Model
by Yongwei Shi, Jing Zhang, Xufeng Cui and Guanghong Zhang
Land 2022, 11(12), 2245; https://doi.org/10.3390/land11122245 - 09 Dec 2022
Cited by 3 | Viewed by 1379
Abstract
The underutilisation or overutilisation of various interdependent and interacting factors poses a challenge to sustainable development and requires the development of an appropriate methodology to evaluate the sustainability of tourism development projects in rural Land (TDPRL). However, most previous evaluations of TDPRL sustainability [...] Read more.
The underutilisation or overutilisation of various interdependent and interacting factors poses a challenge to sustainable development and requires the development of an appropriate methodology to evaluate the sustainability of tourism development projects in rural Land (TDPRL). However, most previous evaluations of TDPRL sustainability are macro-oriented and ignore the entire project life cycle. This study focuses on the resilience characteristics of TDPRL and proposes a “sustainable resilience model” based on physical-mechanical theory, which analyses various factors influencing TDPRL resilience based on the three dimensions of tractive force, driving force, and internal dynamic, and constructs a qualitative evaluation index system through stakeholder meetings. Then the analytic network process (ANP) is used to assess the resilience of TDPRL quantitatively. The rationality of the evaluation index system is validated through an empirical analysis of three rural tourism projects in Zhengzhou, Henan Province. We found that the resilience of TDPRL depends first on the project fundamentals, which include population, industry, location, and infrastructure. Second, local elites are crucial to rural tourism revitalization. Third, the project team should have sufficient capacity to provide tourists with satisfactory products and services, ensuring the project’s sustainable operation, and meeting the core demands of stakeholders. This study provides a novel tool for the decision-making and improvement of rural tourist project development and land use planning over the project life cycle. Full article
(This article belongs to the Special Issue Smart Land Use Planning: New Theories, New Tools and New Practice)
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19 pages, 2092 KiB  
Article
Characterizing Spatial-Temporal Variation of Cultural Tourism Internet Attention in Western Triangle Economic Zone, China
by Yang Zhang, Xue Jin, Yuwei Wang, Rongtian Liu and Ying Jing
Land 2022, 11(12), 2221; https://doi.org/10.3390/land11122221 - 06 Dec 2022
Cited by 5 | Viewed by 1670
Abstract
More and more tourists tend to seek cultural enjoyment while taking trips based on their satisfied socio-economic needs. The spatiality of cultural tourism determines the feasibility and convenience of the access to cultural tourism resources. Given that spatial research on cultural tourism rarely [...] Read more.
More and more tourists tend to seek cultural enjoyment while taking trips based on their satisfied socio-economic needs. The spatiality of cultural tourism determines the feasibility and convenience of the access to cultural tourism resources. Given that spatial research on cultural tourism rarely involves the underdeveloped regions in China, especially via Baidu Index data, this study aims to explore the dynamic spatial pattern of cultural tourism Internet attention based on Baidu Index through social network analysis (i.e., network density, centrality analysis, core–periphery model, etc.) in the Western Triangle Economic Zone (WTEZ), China. Research findings are as follows. (1) Temporally, the centrality is increasingly enhanced in terms of the core cities with high cultural tourism Internet attention, as well as their radiation effect. (2) Spatially, the distribution pattern of cultural tourism Internet attention is shifting from polarization to equilibrium. However, the overall network density still presents a mode of loose connection and fails to extend from the core triangle structure in the planar dimension. (3) The cultural tourism Internet attention in WTEZ presents an obvious core–periphery pattern. Xi’an–Chengdu–Chongqing is in a dominant position, and the core area spreads from south to north. (4) The spatial-temporal pattern of cultural tourism Internet attention in WTEZ is influenced by transportation, reception facilities, consumption ability, and political environment, and the main driving factors are the number of hotels, per capita income, total highway mileage, and cultural tourism policy indicators. This study is conducive to sustainable spatial planning of cultural tourism through smart data governance. Full article
(This article belongs to the Special Issue Smart Land Use Planning: New Theories, New Tools and New Practice)
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21 pages, 2597 KiB  
Article
The Rise and Fall of Land Use Mix: Review and Prospects
by Yuefei Zhuo, Xin Jing, Xiaoying Wang, Guan Li, Zhongguo Xu, Yang Chen and Xueqi Wang
Land 2022, 11(12), 2198; https://doi.org/10.3390/land11122198 - 04 Dec 2022
Cited by 5 | Viewed by 3007
Abstract
Faced with problems such as unordered expansion, inefficient utilization, and the decay of old cities in the current urban development process, many scholars have considered introducing land use mix as a coping strategy. However, due to a lack of understanding of the evolution [...] Read more.
Faced with problems such as unordered expansion, inefficient utilization, and the decay of old cities in the current urban development process, many scholars have considered introducing land use mix as a coping strategy. However, due to a lack of understanding of the evolution process and the theoretical connotation of land use mix, it fails to guide its role in practice. Therefore, this study summarizes the theoretical evolution of land use mix from four levels: ideological evolution, conceptual model, quantitative measurements, and influential factors and effects. It is found that after decades of evolution, although the land use mix theory initially formed a certain theoretical and methodological system, there are still some gaps or deficiencies that need to be filled or improved: (1) the theoretical framework lags behind the needs of practice; (2) in the process of evolution, the idea of modern land use mix has been given a deeper meaning; (3) the conceptual model still needs to be further improved; (4) the influencing mechanism is still unclear. Full article
(This article belongs to the Special Issue Smart Land Use Planning: New Theories, New Tools and New Practice)
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21 pages, 4661 KiB  
Article
Evaluation of Suitability and Spatial Distribution of Rural Settlements in the Karst Mountainous Area of China
by Zhiyuan Yang, Dong Yang, Jingjie Geng and Fengxia Tian
Land 2022, 11(11), 2101; https://doi.org/10.3390/land11112101 - 21 Nov 2022
Cited by 3 | Viewed by 1664
Abstract
With the acceleration of urbanization and the implementation of the rural revitalization strategy, the spatial pattern of rural settlements in China has changed significantly. The suitability of rural settlements is a requirement for rural revitalization. The objective of this paper is to quantitatively [...] Read more.
With the acceleration of urbanization and the implementation of the rural revitalization strategy, the spatial pattern of rural settlements in China has changed significantly. The suitability of rural settlements is a requirement for rural revitalization. The objective of this paper is to quantitatively depict, analyze, and evaluate the suitability of rural settlements in karst mountain areas to eliminate poverty and accelerate the process of new urbanization by constructing rural settlements. Taking 525 rural settlements in Songtao Miao Autonomous County, Guizhou Province, in the karst mountainous area as the research object, the distribution of rural settlements is studied using point mode spatial analysis and neighborhood analysis. The impacts of natural and regional environmental factors are detected using Geodetector. To make the evaluation results more scientific and reasonable, a suitability evaluation model based on Geodetector and AHP was constructed to solve the subjective problem of the weight assignment of the AHP method and reflect the interaction between the influencing factors. The results demonstrate the following. (1) The variation coefficient of the Thiessen polygon area in the Voronoi diagram shows that the spatial distribution of rural settlements is mainly random. The spatial distribution of kernel density in rural settlements presents multiple nuclear centers, with obvious spatial differentiation, with Changping Township being the densest and Waxi Township the sparsest. (2) Rural settlements are mainly distributed below a 15° slope, 800 m above sea level, within 6 km from rivers, 4 km from roads, and 7 km from the township center. Slope and distance from the river are the main driving forces of spatial differentiation. The spatial distribution of rural settlement areas is affected by natural and regional environmental factors, and the interaction between slope and distance from the river is the strongest explanatory power. (3) The results of suitability evaluation show that 87.40% of the rural settlement areas are categorized as “suitable” and “relatively suitable” for living. The “suitable” rural settlement areas are mainly concentrated in the hilly and low mountain areas and river valleys, with relatively gentle terrain in the middle and east, distributed in two north–south trending strips. The “relatively suitable” rural settlements are mainly scattered in the surrounding livable areas. This study could provide a reference for the planning and reconstruction of rural residential areas in karst mountain areas and expand the research means of suitability evaluation of rural residential areas, and it is applicable to other settings. Full article
(This article belongs to the Special Issue Smart Land Use Planning: New Theories, New Tools and New Practice)
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22 pages, 3839 KiB  
Article
Multi-Scenario Prediction of Landscape Ecological Risk in the Sichuan-Yunnan Ecological Barrier Based on Terrain Gradients
by Binpin Gao, Yingmei Wu, Chen Li, Kejun Zheng, Yan Wu, Mengjiao Wang, Xin Fan and Shengya Ou
Land 2022, 11(11), 2079; https://doi.org/10.3390/land11112079 - 18 Nov 2022
Cited by 8 | Viewed by 1396
Abstract
Land use changes induced by human activities change landscape patterns and ecological processes, threatening regional and global ecosystems. Terrain gradient and anthropogenic multi-policy regulation can have a pronounced effect on landscape components. Forecasting the changing trend of landscape ecological risk (LER) is important [...] Read more.
Land use changes induced by human activities change landscape patterns and ecological processes, threatening regional and global ecosystems. Terrain gradient and anthropogenic multi-policy regulation can have a pronounced effect on landscape components. Forecasting the changing trend of landscape ecological risk (LER) is important for national ecological security and regional sustainability. The present study assessed changes in LER in the Sichuan-Yunnan Ecological Barrier over a 20-year period using land use data from 2000, 2010, and 2020. The enhanced Markov-PLUS (patch-generating land use simulation) model was used to predict and analyze the spatial distribution pattern of LER under the following three scenarios. These were business-as-usual (BAU), urban development and construction (UDC), and ecological development priority (EDP) in 2030. The influence of terrain conditions on LER was also explored. The results showed that over the past 20 years, the LER index increased and then decreased and was dominated by medium and low risk, accounting for more than 70% of the total risk-rated area. The highest and higher risk areas for the three future scenarios have increased in spatial extent. The UDC scenario showed the largest increase of 3341.13 km2 and 2684.85 km2, respectively. The highest-risk level has a strong selectivity for low gradients, with high-level risks more likely to occur at low gradients. The response of ecological risk to gradient changes shows a positive correlation distribution for high-gradient areas and a negative correlation distribution for low-gradient areas. The influence of future topographic gradient changes on LER remains significant. The value of multiscale geographically weighted regression (MGWR) for identifying the spatial heterogeneity of terrain gradient and LER is highlighted. It can play an important role in the formulation of scientific solutions for LER prevention and of an ecological conservation policy for mountainous areas with complex terrain. Full article
(This article belongs to the Special Issue Smart Land Use Planning: New Theories, New Tools and New Practice)
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17 pages, 1741 KiB  
Article
Land Use Transition and Effects on Ecosystem Services in Water-Rich Cities under Rapid Urbanization: A Case Study of Wuhan City, China
by Xinxing Xiong, Tingting Zhou, Ting Cai, Wei Huang, Jie Li, Xufeng Cui and Fei Li
Land 2022, 11(8), 1153; https://doi.org/10.3390/land11081153 - 26 Jul 2022
Cited by 5 | Viewed by 1325
Abstract
Ecosystems can provide ecosystems service for human society. Exploring the impact of land use transition of water-rich cities on ecosystem service can obtain a large amount of scientific data, and its findings have certain significance for building a sustainable city land use transition [...] Read more.
Ecosystems can provide ecosystems service for human society. Exploring the impact of land use transition of water-rich cities on ecosystem service can obtain a large amount of scientific data, and its findings have certain significance for building a sustainable city land use transition pattern. This study takes Wuhan, a water-rich city, as the study area, combines remote sensing image data and macro-economic data in the region from 2000 to 2020, and uses spatial analysis methods, the equivalent factor calculation method, and hot spot analysis to portray the spatial-temporal patterns of land use transition in Wuhan and its effect on ecosystem service values. The results show that: (1) farmland, water, and built-up land are the main land use types in Wuhan, and the continuous expansion of built-up land area is an important factor in the decrease of farmland, wetland, and grassland areas; (2) The change in ecosystem service values in Wuhan is influenced by the fluctuation of water area, and the overall ecosystem service values in Wuhan increased from CNY (Chinese Yuan) 56.498 billion (USD 8.47 billion) in 2000 to CNY 56.749 billion (USD 8.508 billion) in 2020, with an increase of CNY 251.3 million (USD 37.676 million) between 2000 and 2020. Among them, the ecosystem services values of water increased by CNY 1.223 billion (USD 183.358 million), and the ecosystem service values of its assumed hydrological regulation function also increased by CNY 995.7 million (USD149.28 million) during this period; (3) In the period 2000–2020, the hotspot areas for the value supply of ecosystem services were mainly distributed in Jiangxia, Hongshan, Hannan, Xinzhou, Huangpi and some areas of Caidian, which are covered with a large proportion of water, while the cold spots are mainly distributed in Jiang’an, Jianghan, Qiaokou, and Qingshan districts, which have more built-up land, and Huangpi, Caidian, Jiangxia, and Xinzhou districts, which have more farmland. Sustainable land planning solutions should take into account typical regional land use transition patterns and incorporate them into smart land planning practices. This study can provide key information for smart land planning. Full article
(This article belongs to the Special Issue Smart Land Use Planning: New Theories, New Tools and New Practice)
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15 pages, 1489 KiB  
Article
Evaluation of the Sustainable Development of Traditional Ethnic Village Tourist Destinations: A Case Study of Jiaju Tibetan Village in Danba County, China
by Qiuli Meng, Chaoju Wang, Tao Xu, Hongwen Pi and Yazhou Wei
Land 2022, 11(7), 1008; https://doi.org/10.3390/land11071008 - 01 Jul 2022
Cited by 6 | Viewed by 2484
Abstract
In the process of development, traditional villages, as important tourism resources, have been impacted by external factors and lost their original authenticity. Looking for the important factors affecting its tourism development, in an attempt to assist the sustainable development of a rural destination, [...] Read more.
In the process of development, traditional villages, as important tourism resources, have been impacted by external factors and lost their original authenticity. Looking for the important factors affecting its tourism development, in an attempt to assist the sustainable development of a rural destination, is Jiaju Tibetan Village in the Southwest of China. The sustainable evaluation index system divides the assessment criteria into five guideline layers: economic development, ethnic culture, management, sustainable development, and infrastructure and service facilities. The sub-criteria layer and the index layer under each of the guideline layers were refined, and matrices were constructed for various layers of indices, which calculate the weight of each indicator to produce a comprehensive score of the destination’s sustainability. The findings of this study are as follow: ➀ the Tibetan ethnic cultural life experience and the convenience of transportation are the most influential factors. ➁ Jiaju Tibetan Village is in a stage of basic sustainable development. ➂ The determinants of the indicators should be adjusted according to the tourist destination. ➃ Traditional villages should learn from each other’s tourism development experience. Finally, this study provides a reference for adjusting and formulating the tourism development strategy of ethnic traditional villages, and reasonable planning to use land, and plays an exemplary role for the development of traditional villages in concentrated ethnic minority areas. Full article
(This article belongs to the Special Issue Smart Land Use Planning: New Theories, New Tools and New Practice)
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Review

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21 pages, 4560 KiB  
Review
A Knowledge Map Study of an Application of a Smart Land Planning Free-Trade Zone and China’s Contribution
by Penghao Ye, Huarong Zhang, Siyi Ma, Fang Yang and Yanan Li
Land 2022, 11(6), 909; https://doi.org/10.3390/land11060909 - 15 Jun 2022
Cited by 5 | Viewed by 2368
Abstract
The use of a free-trade zone (FTZ) has emerged as a smart land tool in increasing trading, attracting foreign investment, attempting financial openness and conducting other pilot economic reforms, which adds higher requirements for smart spatial planning, smart industry planning and smart management [...] Read more.
The use of a free-trade zone (FTZ) has emerged as a smart land tool in increasing trading, attracting foreign investment, attempting financial openness and conducting other pilot economic reforms, which adds higher requirements for smart spatial planning, smart industry planning and smart management planning. However, no systematic analysis has been performed, making it difficult to provide deeper insights into FTZs. Thus, this study conducted bibliometric and visual analysis to identify the research status, new theories or practices, and potential future directions of FTZs based on 953 publications from the Web of Science Core Collection. The results show that there is a marked rise in the number of FTZ studies since 2013, which is the same year China authorized the first FTZ in Shanghai. China and the United States of America have played a leading role in FTZ research. Finally, the increasing trend in FTZ utilization will remain sizeable during its deepening development. The findings may contribute to a better understanding of FTZs and make some references to smart land-use planning experience and practices around the globe. Full article
(This article belongs to the Special Issue Smart Land Use Planning: New Theories, New Tools and New Practice)
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17 pages, 2259 KiB  
Review
A Literature Review of Big Data-Based Urban Park Research in Visitor Dimension
by Hongxu Guo, Zhuoqiao Luo, Mengtian Li, Shumin Kong and Haiyan Jiang
Land 2022, 11(6), 864; https://doi.org/10.3390/land11060864 - 07 Jun 2022
Cited by 5 | Viewed by 3310
Abstract
Urban parks provide multiple benefits to human well-being and human health. Big data provide new and powerful ways to study visitors’ feelings, activities in urban parks, and the effect they themselves have on urban parks. However, the term “big data” has been defined [...] Read more.
Urban parks provide multiple benefits to human well-being and human health. Big data provide new and powerful ways to study visitors’ feelings, activities in urban parks, and the effect they themselves have on urban parks. However, the term “big data” has been defined variably, and its applications on urban parks have so far been sporadic in research. Therefore, a comprehensive review of big data-based urban park research is much needed. The review aimed to summarize the big data-based urban park research in visitor dimension by a systematic review approach in combination with bibliometric and thematic analyses. The results showed that the number of publications of related articles has been increasing exponentially in recent years. Users’ days data is used most frequently in the big data-based urban park research, and the major analytical methods are of four types: sentiment analysis, statistical analysis, and spatial analysis. The major research topics of big data-based urban park research in visitor dimension include visitors’ behavior, visitors’ perception and visitors’ effect. Big data benefits urban park research by providing low-cost, timely information, a people-oriented perspective, and fine-grained site information. However, its accuracy is insufficient because of coordinate, keyword classification and different kinds of users. To move forward, future research should integrate multiple big data sources, expand the application, such as public health and human–nature interactions, and pay more attention to the big data use for overcoming pandemic. This review can help to understand the current situation of big data-based urban park research, and provide a reference for the studies of this topic in the future. Full article
(This article belongs to the Special Issue Smart Land Use Planning: New Theories, New Tools and New Practice)
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