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Sustainable Cities: Analytical Methods for Studying Urban Mobility and Travel Behavior

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: 11 May 2024 | Viewed by 7794

Special Issue Editors


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Guest Editor
Department of Architecture and Built Environment, University of Northumbria, Newcastle, UK
Interests: urban design; spatial analysis; transit-oriented planning; walkability

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Guest Editor
School of Architecture, Design and Planning, University of Sydney, Sydney, Australia
Interests: urban design; spatial analysis; sustainable development; urban morphology

Special Issue Information

Dear Colleagues,

Climate change is considered as one of the most pressing challenges of modern times. Since the late 1980s, the United Nations has instigated several mitigation mechanisms, such as the UN Framework Convention on Climate Change (UNFCCC), the Kyoto Protocol, and, more recently, the 2016 Paris Agreement, all of which consolidated the need for immediate action to curb carbon emissions (e.g., IPCC 2014, IPCC 2018). Besides its significance from a climate viewpoint, carbon neutrality may also provide wider social, environmental, and economic co-benefits, such as improvements in air quality, creation of new jobs, and the promotion of healthier lifestyles. The role the built environment plays in creating sustainable, low carbon cities, specifically through its impact on shaping people’s daily travel behavior, is widely acknowledged (Martos et al., 2016). In response, alternative models to urban mobility, such as the compact city (Jenks et al., 1996) and, more recently, the 15-minute and 20-minute city (Moreno et al., 2021; Capasso Da Silva et al., 2020), are proposed with the aim of reducing CO2 emissions. With the transport sector representing 25% of CO2 emissions (IEA, 2012), designing healthy, sustainable, and active mobility infrastructure that enables reduced carbon emissions will continue to be critical in creating a sustainable future, not only for industrialized nations but also for developing countries (Opschoor 2011).

Despite the currently relevant and promising prospects in the field of carbon neutrality in cities, local and national policy makers currently lack solid evidence-based and detailed analyses promoting a modal shift towards climate-neutral travel. This is partly due to the complexity of data in transport models, which calls for place-based analyses and approaches. Hence, we need analytical and multi-level research that provides robust principles and tools to assess the impact of urban mobility infrastructure design (environmental and socio-economic elements that influence cities) with the broader aim of guiding cities to reduce their CO2 emissions.

This Special Issue places emphasis on recent developments in analytical methods for studying urban mobility and travel behavior in cities. The aim is to engage planners and scholars from other spatial disciplines to critically explore strategies and approaches aimed at creating more carbon neutral, liveable, healthier, and sustainable cities and neighborhoods for the future. Taking into consideration current challenges (e.g., climate change, pandemics, socio-demographic changes) as key drivers of urban development, we invite authors to submit articles showcasing innovative ideas, approaches, and experiments for analyzing, evaluating, and designing sustainable urban mobility and travel patterns to better support public and active mobility.

The scope of this Special Issue includes (but is not limited to) the following areas:

  • Healthy urban design concepts (e.g., compact cities, the 15-minute neighborhood, walkable urbanism, urban retrofitting);
  • Urban design and planning theories;
  • Prediction and simulation of human mobility and mode of travel;
  • Spatial analysis in urban travel patterns;
  • Land use–urban form–human mobility link;
  • Innovative examples from practice (e.g., local and/or global design interventions as pathways to sustainable urban mobility);
  • Visualization and simulation techniques including agent-based modeling;
  • Policy implications and governance;
  • Smart city and smart mobility;
  • Travel behavior-health and wellbeing link.

We look forward to receiving your contributions.

References:

  1. IPCC 2014 Summary for policymakers In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (Cambridge Cambridge, United Kingdom and New York, NY, USA) ed C B Field et al. (Cambridge University Press) pp 1–32.
  2. IPCC, 2018: Global Warming of 1.5°C. An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty [Masson-Delmotte, V., P. Zhai, H.-O. Pörtner, D. Roberts, J. Skea, P.R. Shukla, A. Pirani, W. Moufouma-Okia, C. Péan, R. Pidcock, S. Connors, J.B.R. Matthews, Y. Chen, X. Zhou, M.I. Gomis, E. Lonnoy, T. Maycock, M. Tignor, and T. Waterfield (eds.)]. In Press.
  3. Martos, A., Pacheco-Torres, R., Ordóñez, J., & Jadraque-Gago, E. (2016). Towards successful environmental performance of sustainable cities: Intervening sectors. A review. Renewable and Sustainable Energy Reviews, 57, 479-495.
  4. Jenks, M., Burton, E. and Wiliams, K.(eds) (1996). The Compact City: A Sustainable Urban Form?, E & FN Spon, London.
  5. Moreno, C., Allam, Z., Chabaud, D., Gall, C., & Pratlong, F. (2021). Introducing the “15-Minute City”: Sustainability, resilience and place identity in future post-pandemic cities. Smart Cities, 4(1), 93-111.
  6. Capasso Da Silva, D., King, D. A., & Lemar, S. (2020). Accessibility in practice: 20-minute city as a sustainability planning goal. Sustainability, 12(1), 129.
  7. EA. (2012). World energy outlook. Paris: International Energy Agency.
  8. Opschoor, H. (2011). Local sustainable development and carbon neutrality in cities in developing and emerging countries. International Journal of Sustainable Development & World Ecology, 18(3), 190-200.

Dr. Ayşe Özbil
Dr. Alice Vialard
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. Sustainability is an international peer-reviewed open access semimonthly 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 2400 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

  • urban mobility analysis
  • travel behavior
  • analytical approaches
  • spatial analyses
  • carbon neutral cities
  • sustainable urban mobility
  • design policy and governance
  • health outcomes

Published Papers (7 papers)

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Research

20 pages, 2038 KiB  
Article
Ride-Hailing Preferences for First- and Last-Mile Connectivity at Intercity Transit Hubs
by Nur Oktaviani Widiastuti and Muhammad Zudhy Irawan
Sustainability 2024, 16(7), 2927; https://doi.org/10.3390/su16072927 - 01 Apr 2024
Viewed by 616
Abstract
This study aims to fill a research gap by focusing on ride-hailing services (RHSs) as first- and last-mile (FLM) modes linking intercity hubs, which have been explored less than metro hubs. Involving 418 RHS users in the Yogyakarta conurbation, Indonesia, this study applies [...] Read more.
This study aims to fill a research gap by focusing on ride-hailing services (RHSs) as first- and last-mile (FLM) modes linking intercity hubs, which have been explored less than metro hubs. Involving 418 RHS users in the Yogyakarta conurbation, Indonesia, this study applies confirmatory factor analysis to identify the motivations for using RHSs as FLM modes and employs a seemingly unrelated regression model to analyse factors influencing RHS usage and the relationship between first-mile and last-mile use, which remains underexplored. The model’s results reveal that the utilization of RHSs for the first mile is mostly seen among younger, educated, and wealthy persons. However, these variables did not impact last-mile-mode use. The model’s results also show that in FLM contexts, vehicle ownership did not substantially impact RHS use. In addition, RHSs are less often used for trips to intercity bus terminals compared to airports and railway stations. This study also highlights the significance of user preferences, such as comfort and safety, seamless transaction and service, and cost and time efficiency, in influencing the use of RHSs for FLM modes. Increasing RHS accessibility at transit hubs, expanding e-payment options, simplifying payments, and prioritizing fairness are suggested strategies to improve urban sustainability through RHSs. Full article
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23 pages, 6988 KiB  
Article
The Real-Time Dynamic Prediction of Optimal Taxi Cruising Area Based on Deep Learning
by Sai Wang, Jianjun Wang, Chicheng Ma, Dongyi Li and Lu Cai
Sustainability 2024, 16(2), 866; https://doi.org/10.3390/su16020866 - 19 Jan 2024
Viewed by 535
Abstract
A real-time, effective, and dynamic taxi cruising recommendation strategy is essential to solving the problem of taxi cruising passenger difficulty and urban road traffic congestion. This study focuses on two aspects of the real-time accessible range and pick-up ratio (PR) and proposes a [...] Read more.
A real-time, effective, and dynamic taxi cruising recommendation strategy is essential to solving the problem of taxi cruising passenger difficulty and urban road traffic congestion. This study focuses on two aspects of the real-time accessible range and pick-up ratio (PR) and proposes a real-time dynamic identification method for taxi optimal cruise-seeking area. Firstly, based on the cumulative opportunity method, a univariate temporal convolutional network (UTCN) accessible range dynamic prediction model is proposed to predict the real-time accessible range of taxis. Secondly, based on the gradient boosting decision tree (GBDT) model, the influencing factors with a high correlation with the PR are selected from the four dimensions of traffic characteristics, environmental meteorology, and time and space variables. Then, a multivariate univariate temporal convolutional network (MTCN) global grid PR prediction model is constructed, and the optimal taxi cruising area is identified based on the maximum PR. The results show that the taxi accessible range and PR of the same grid in different periods change with time, and based on the model comparison, the accessible range and PR prediction results of UTCN and MTCN algorithms in different periods are the best to identify the optimal cruising area of taxis in different periods. The main contribution of this study is that the proposed optimal cruising area prediction model has timeliness, accessibility, and dynamics. It can not only improve the probability of taxis receiving passengers and avoid taxis cruising aimlessly, but also solve the shortage of taxis in hotspots, thus shortening the waiting time of passengers. This provides a scientific basis for improving taxi cruising efficiency and the government’s formulation of taxi operation management policies, which can effectively promote the sustainable development of urban traffic. Full article
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18 pages, 1490 KiB  
Article
Low-Carbon Travel Behavior in Daily Residence and Tourism Destination: Based on TPB-ABC Integrated Model
by Liying Wang, Junya Wang, Pengxia Shen, Shangqing Liu and Shuwei Zhang
Sustainability 2023, 15(19), 14349; https://doi.org/10.3390/su151914349 - 28 Sep 2023
Viewed by 1201
Abstract
Low-carbon travel is considered as one of the most important strategies to reduce transportation carbon emissions, and its success is decided by the active participation of residents. Based on the theory of planned behavior (TPB) and Attitude-Behavior-Context theory (ABC), this study explores the [...] Read more.
Low-carbon travel is considered as one of the most important strategies to reduce transportation carbon emissions, and its success is decided by the active participation of residents. Based on the theory of planned behavior (TPB) and Attitude-Behavior-Context theory (ABC), this study explores the influencing factors and formation paths of individual low-carbon travel behavior, and analyzes low-carbon travel behavior regarding both daily commuting from residence and tourism destinations. This study collects a sample of 506 respondents and uses Mplus 8.0 to examine the hypotheses. Empirical research results indicate that: (1) A certain gap exists in the individuals’ low-carbon travel behavior between daily residence and tourism destination. Differences exist in direct effects, mediating effects and moderating effects. (2) Low-carbon travel behavioral intention plays a significant mediating role in both daily residence and tourism destination, especially the former. Regarding daily residence, individuals’ attitude, subjective norms and perceived behavioral control have a positive effect on behavior through behavioral intention. Regarding tourism destination, only the attitude-low-carbon travel behavioral intention-behavior path is significant. (3) Situational factors play a significant positive moderating effect on the relationship between low-carbon travel behavioral intention and behavior, especially in tourism destination. This study reveals the internal mechanism of individuals’ low-carbon travel behavior and the differences between travel in daily life and tourism, helping to deepen understanding of individuals’ low-carbon travel behavior and providing guidance for promoting individuals’ low-carbon travel. Full article
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15 pages, 2583 KiB  
Article
Analysis of Factors Affecting the Extra Journey Time of Public Bicycles
by Jongwoo Jung and Doyoung Jung
Sustainability 2023, 15(18), 13804; https://doi.org/10.3390/su151813804 - 15 Sep 2023
Viewed by 601
Abstract
Many countries worldwide are introducing public bicycle systems to reduce urban traffic and environmental problems. However, studies on the usage behavior of public bicycles have not considered the trip purpose of riders extensively due to data limitations. Therefore, this study defined the “extra [...] Read more.
Many countries worldwide are introducing public bicycle systems to reduce urban traffic and environmental problems. However, studies on the usage behavior of public bicycles have not considered the trip purpose of riders extensively due to data limitations. Therefore, this study defined the “extra journey time” from usage time and origin–destination (OD) expected time and clustered public bicycle usage behaviors. Subsequently, the effects of the location characteristics of the departure and arrival stations, road environmental factors, and weather conditions for each cluster were analyzed. Three clusters were obtained from the results. Riders in Cluster 1 were inferred to have used the bicycles to commute and for work purposes, and riders in Clusters 2 and 3 used the bicycles for leisure purposes. Moreover, the bike station location characteristics, road environmental factors, and weather conditions influenced the probability of classification into one cluster. In particular, bike lanes near the departure and arrival stations increased the probability of classification under Clusters 2 and 3. The trip patterns according to the extra journey time of public bicycles were classified under these clusters. Furthermore, the differences in the characteristics of the bicycle usage types were identified according to the location and meteorological factors affecting them. Full article
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20 pages, 24323 KiB  
Article
A Study on the Methodology for Estimating Floating Population in Microscopic Spatial Units
by Seongman Jang and Youngsoo An
Sustainability 2023, 15(5), 4407; https://doi.org/10.3390/su15054407 - 01 Mar 2023
Viewed by 1658
Abstract
Estimating pedestrian volume has become an important topic in urban planning and transportation-planning research. However, current models find it difficult to predict long-term changes in pedestrians due to changes in land use and transport infrastructure. In this study, a methodology was devised to [...] Read more.
Estimating pedestrian volume has become an important topic in urban planning and transportation-planning research. However, current models find it difficult to predict long-term changes in pedestrians due to changes in land use and transport infrastructure. In this study, a methodology was devised to estimate the mesoscale pedestrian volume according to the results of a long-term-forecasting model integrating land use and transportation. The methodology was validated using pedestrian volume data collected from Gangnam, Seoul. The main contributions of this study are that the proposed methodology enables the long-term prediction of mesoscale pedestrian volume, which has previously been difficult to analyze, and that it considers not only pedestrians who are walking but also public transportation users moving between public transport nodes and buildings. Thus, it can accommodate long-term changes in not only land use but also in transportation infrastructure. Full article
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19 pages, 7624 KiB  
Article
Study on the Spatial and Temporal Distribution and Traffic Flow Parameters of Non-Motorized Vehicles on Highway Segments Crossing Small Towns
by Shengneng Hu, Wei Tong, Zhen Jia and Junjie Zou
Sustainability 2023, 15(2), 1261; https://doi.org/10.3390/su15021261 - 09 Jan 2023
Cited by 3 | Viewed by 1122
Abstract
The traffic flow of non-motorized vehicles on the highway segments crossing small towns is disorderly and chaotic. In order to improve the traffic environment and regulate the order of non-motorized operations, this article studies the spatial and temporal distribution and traffic flow parameters [...] Read more.
The traffic flow of non-motorized vehicles on the highway segments crossing small towns is disorderly and chaotic. In order to improve the traffic environment and regulate the order of non-motorized operations, this article studies the spatial and temporal distribution and traffic flow parameters of non-motorized traffic on the highway segments crossing small towns. The non-motorized traffic within the section of the National Highway G310 crossing small towns in Henan Province, China, is investigated through various research tools such as questionnaires, interviews, and on-site statistics. The regularity and characteristics of non-motorized traffic in terms of travel purpose, travel distance, travel time, and travel frequency were obtained. Meanwhile, based on the actual collected traffic data, the speed–density relationship, flow rate–density relationship, and speed–distance relationship of non-motorized traffic flow were studied using mathematical and statistical methods. The results show that thresholds exist for both time and distance traveled by non-motorized vehicles on small town road sections. The threshold value of riding time is 30 min, and the threshold value of riding distance is 5 km. Under the free flow state, the speed distribution is near a certain desired speed, and the flow rate–density relationship conforms to the exponential function relationship when the flow rate is greater than the critical flow value. The speed and distance show a cubic function relationship, and the speed gradually increases with the increase in distance between the non-motorized vehicles and towns. Based on the results of the above analysis, it is possible to grasp the travel regularity of non-motorized cyclists on highway segments crossing small towns. This provides a theoretical basis for enhancing the efficiency of non-motorized travel and improving the non-motorized travel environment. Full article
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19 pages, 2386 KiB  
Article
Joint Impacts of Pricing Strategies and Persuasive Information on Habitual Automobile Commuters’ Travel Mode Shift Responses
by Yaping Li, Zheng Liu and Shiqing Zhang
Sustainability 2023, 15(2), 1058; https://doi.org/10.3390/su15021058 - 06 Jan 2023
Cited by 1 | Viewed by 1230
Abstract
Persuasive information developed by smartphone applications is a potential tool that can be utilized in order to increase the effectiveness of the impact of pricing strategies on triggering sustainable travel mode choice behavior. In order to address the joint impacts of pricing strategies [...] Read more.
Persuasive information developed by smartphone applications is a potential tool that can be utilized in order to increase the effectiveness of the impact of pricing strategies on triggering sustainable travel mode choice behavior. In order to address the joint impacts of pricing strategies and persuasive information on habitual automobile commuters’ travel mode shift responses, a stated-preference survey was conducted in Beijing’s inner district, from which over 1000 responses were collected. Four separate multivariable multilevel logistic regression models were estimated for more and less habitual automobile commuters when subjected to congestion pricing and reward strategies. The model estimation results showed that the influence of persuasive information was more effective in promoting travel mode shifts among more habitual automobile commuters with regard to reward strategies compared to congestion pricing. The results also showed that the impact of sociodemographic characteristics, commuter travel characteristics, the amount of congestion pricing or monetary award, and types of persuasive information on travel mode shift decisions under these strategies were deemed to be significantly different between more and less habitual automobile commuters. These findings suggest that more effective reward strategies can be explored by providing personalized and differentiated travel feedback information (e.g., pollution emission information and physical activity information), particularly for less habitual automobile commuters. This study also provides some degree of insight regarding the question as to how to design future congestion pricing, i.e., with respect to formulating differentiated charge rates according to the travel characteristics of habitual automobile commuters, as well as in developing complementary persuasive information that focuses on addressing public acceptability and fairness rather than travel feedback information. Full article
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