Built Environment, Pedestrian Behaviors, and Urban Sustainability

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Environmental and Policy Impact Assessment".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 6810

Special Issue Editors


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Guest Editor
Department of Urban Design and Studies (209-707), Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea
Interests: urban design; urban planning; urbanism; urban development; city planning

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Guest Editor
School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea
Interests: sustainable urban planning and design

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Guest Editor
Division of Urban Planning and Landscape Architecture, Gachon University, Seongnam, Gyeonggi, Republic of Korea
Interests: urban planning and design; walkability; urban form; travel behavior; statistics and data analysis

Special Issue Information

Dear Colleagues,

The built environment and resultant behaviors of people are key determinants of the social, economic, and environmental sustainability of a city. The reckless spread of urban sprawl and consequent progress in motorization (increasing car dependency) have been pointed out as key causes of the energy crisis, environmental pollution, human-induced global warming, and climate change. On the other hand, active or nonmotorized transportation modes, including walking, have been encouraged as desirable modes that enhances the quality life of people and urban sustainability. In particular, walking affects individual health and social capital, and determines street safety and attractiveness, neighborhood livability and vitality, and even the prosperity of regional and state economies. The policy interventions for promoting walking and the pedestrian-friendly urban built environment is undoubtedly a crucial success factor for streets, neighborhoods, and cities.

Thus, the built environment and the resulting pedestrian behaviors are not only traditional research topics in planning, urban design, and transportation, but are also receiving considerable attention in sociology, public health, environmental science, and many other disciplines. Several previous studies have examined the physical conditions under which more walking activities can occur, and found that the traditional 5D variables play significant roles. However, recent studies have shown that the effects of these variables can vary significantly depending on the urban context, and research on microscale built environmental variables is still insufficient. Meanwhile, researchers have also argued that ensuring pedestrian rights and safety should be prioritized over providing a pedestrian-friendly built environment. Recently, experimental studies using virtual reality technologies have been attempted to analyze the microscopic built environment and pedestrian behaviors, but important policy questions still remain unanswered.

This Special Issue focuses on the analysis of the relationship between built environment, pedestrian behaviors, and urban social, economic, and environmental sustainability. This Special Issue aims to provide new empirical evidence for physical planning practices and policies for a more sustainable future of cities by looking at the following topics:

  • The relationship between the built environment and transportation mode choice (particularly, focused on the active modes);
  • The relationship between the built environment and outdoor activities;
  • The relationship between the built environment and street-level pedestrian volume;
  • The relationship between microscopic street design and the subjectively perceived or objectively measured pedestrian safety level;
  • The impacts of active travel and outdoor activities on individual outcomes such as physical and mental health, social network and participation, and other quality of life indicators;
  • The impacts of walking or pedestrian volume on urban social, economic, and environmental sustainability.

As an approach to examine the above research topics, various traditional research data are allowed, including data from travel diary surveys, self-reported surveys, trained investigators’ observations, and automated investigations using GPS, sensors, and computer vision techniques. Experimental studies using VR experiments or social/natural experiments are also encouraged. Above all, this Special Issue welcomes empirical research conducted in various cities around the world. Submitted manuscripts should have a solid theoretical basis and analysis and valid conclusions.

Dr. Seung-Nam Kim
Dr. Gi-Hyoug Cho
Dr. Hee-Chul Kim
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

  • built environment
  • pedestrian environment
  • urban form and land use
  • urban spatial structure
  • pedestrian behaviors/activities
  • active travel
  • nonmotorized travel
  • urban sustainability
  • virtual reality experiment

Published Papers (5 papers)

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Research

17 pages, 6425 KiB  
Article
Measuring Perceived Walkability at the City Scale Using Open Data
by Yang Ye, Chaozhi Jia and Stephan Winter
Land 2024, 13(2), 261; https://doi.org/10.3390/land13020261 - 19 Feb 2024
Viewed by 1051
Abstract
The walkability of the built environment has been shown to be critical to the health of residents, and open data have been widely used to assess walkability. However, previous research has focused on the relationship between the built environment and walking behavior rather [...] Read more.
The walkability of the built environment has been shown to be critical to the health of residents, and open data have been widely used to assess walkability. However, previous research has focused on the relationship between the built environment and walking behavior rather than perceived walkability, and there is a lack of systematic research on walkability at the urban scale using open data. This paper presents a methodological framework for systematically measuring and assessing perceived walkability at the urban scale, considering general and specific features. The walkability indices are obtained using variables from open data or calculated automatically through machine learning and algorithms to ensure they can be evaluated at a larger urban scale. The proposed method is applied to Harbin, China, to assess the perceived walkability of streets using hundreds of thousands of street view images and points of interest obtained from open data. The results are compared with a subjective evaluation of walkability to validate the proposed method. The results demonstrate that measures of the urban built environment can describe perceived walkability. Thus, the proposed framework shows promise for assessing the walkability of urban spaces, supporting policy proposals, and establishing design guidelines for optimising urban spaces. Full article
(This article belongs to the Special Issue Built Environment, Pedestrian Behaviors, and Urban Sustainability)
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20 pages, 11374 KiB  
Article
The Evolution and Economic and Social Effects of the Spatial and Temporal Pattern of Transport Superiority Degree in Southern Xinjiang, China
by Songhong Li, Hongwei Wang, Xiaoyang Liu and Zhen Yang
Land 2024, 13(2), 216; https://doi.org/10.3390/land13020216 - 9 Feb 2024
Viewed by 793
Abstract
Transportation significantly influences economically underdeveloped arid regions, impacting economic growth and social progress. Analyzing Transport Superiority Degree (TSD) and its implications in such regions is crucial. A new arid region-specific evaluation framework addresses traditional limitations by considering indicators like route connectivity and desert [...] Read more.
Transportation significantly influences economically underdeveloped arid regions, impacting economic growth and social progress. Analyzing Transport Superiority Degree (TSD) and its implications in such regions is crucial. A new arid region-specific evaluation framework addresses traditional limitations by considering indicators like route connectivity and desert interference. This article conducts an empirical study using Southern Xinjiang as a research case. It combines comprehensive evaluation methods, spatial autocorrelation methods, spatial Durbin models, and coupling coordination models to depict Transport Support Capability (TSC), Transport Access Capacity (TAC), and Transport Guarantee Capacity (TGC) at different scales in Southern Xinjiang from 2000 to 2020. The study reveals spatial patterns, evolutionary characteristics, economic impacts, and social effects of TSD at various scales. Key findings include: (1) Rapid expansion of transportation infrastructure in Southern Xinjiang. The levels of TSD at different scales have gradually increased, and spatial and temporal pattern differences are evident. At the county level, TSD forms a “core-periphery” spatial pattern centered around the Southern Xinjiang Railway, with “high-high” agglomeration areas centered around Kashgar city and “low-low” agglomeration areas centered around Qiemo County. (2) Prefectural-level TSD improvements have limited impacts on regional development, while county-level TSC, TAC, TGC, and TSD positively affect economic and social growth but also exhibit competitive effects. (3) TSD is transitioning from non-coordinated to coordinated development with economic and social progress at different scales. This research informs transportation facility evaluation in arid regions. Full article
(This article belongs to the Special Issue Built Environment, Pedestrian Behaviors, and Urban Sustainability)
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16 pages, 14144 KiB  
Article
Spatial Equity of Urban Park Distribution: Examining the Floating Population within Urban Park Catchment Areas in the Context of the 15-Minute City
by Youngmee Jeon and Seunghyun Jung
Land 2024, 13(1), 24; https://doi.org/10.3390/land13010024 - 22 Dec 2023
Viewed by 1037
Abstract
Urban parks, as major components of green infrastructure, have contributed to natural landscape preservation, ecosystem service provision, residents’ physical and mental health enhancement, and social cohesion intensification, under the emphasis on the need for sustainable urban development. However, urban parks have been insufficiently [...] Read more.
Urban parks, as major components of green infrastructure, have contributed to natural landscape preservation, ecosystem service provision, residents’ physical and mental health enhancement, and social cohesion intensification, under the emphasis on the need for sustainable urban development. However, urban parks have been insufficiently and inappropriately created in the process of the urban space expansion and population density increase, necessitating their equitable distribution and access. This study aimed to analyze the distribution characteristics of a total of 354 urban parks in Seoul, South Korea, utilizing the estimates of floating population derived from big data and the urban park catchment areas, in the context of the 15-minute city. Its 25 districts were classified into the following four types based on the relationship between the area and the population ratios for the 600 m and 900 m catchment areas: Type 1 parks were equitably distributed with well-matched supply and demand; Type 2 parks had an uneven distribution due to insufficient supply and excessive demand; Type 3 parks were inadequately distributed with both supply and demand below average; and Type 4 parks had a mismatch between sufficient supply and unfulfilled demand. This study suggested strategies to improve the spatial equity of urban parks for each type, including qualitative improvement, quantitative increase, redistribution, and accessibility optimization tactics. Full article
(This article belongs to the Special Issue Built Environment, Pedestrian Behaviors, and Urban Sustainability)
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16 pages, 1602 KiB  
Article
The Long-Lasting Impact of Past Mobility Dependence on Travel Mode Share in a New Neighborhood: The Case of the Seoul Metropolitan Area, South Korea
by Jae-Hong Kwon and Gi-Hyoug Cho
Land 2023, 12(10), 1922; https://doi.org/10.3390/land12101922 - 15 Oct 2023
Viewed by 838
Abstract
Travel behavior researchers have dominantly explored the influence of increase in development densities with mixed pattern of land-uses, and investment in infrastructures related to public transit toward more sustainable-transportation policies. However, little has been known about the long-term interdependencies between people’s decisions on [...] Read more.
Travel behavior researchers have dominantly explored the influence of increase in development densities with mixed pattern of land-uses, and investment in infrastructures related to public transit toward more sustainable-transportation policies. However, little has been known about the long-term interdependencies between people’s decisions on travel behavior and individual biographies relating to residential relocation and habitual behavior over a longer time period. To fill this gap, the present study aims to investigate the long-lasting impact of past travel behavior on current travel behavior after a process of residential relocation. For this purpose, aggregate analysis at a neighborhood level was carried out, focusing on cause-effect relationships between current travel mode share and the size of in-migrants dependent on a certain mode in the past by using Household Travel Surveys (HTS) and Internal Migration Statistics collected during 2006–2015 (10 years). Accordingly, the size of in-migrants who have their pre-determined travel behavior in the past play an important role in explaining the mode share of a neighborhood on the current state. Further, this study attempted to divide the influence of residential relocation from the influence of habitual behavior on travel behavior after residential relocation. The finding suggested that the habitualized travel pattern can affect the travel patterns in the new neighborhood even after separating the effect of self-selection. Specifically, the past dependency on public transportation represented significant influences on the current travel mode share. This study on travel behavior informs consideration of role of habitual qualities during the process of residential relocation. Full article
(This article belongs to the Special Issue Built Environment, Pedestrian Behaviors, and Urban Sustainability)
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25 pages, 6770 KiB  
Article
Simulating Urban Element Design with Pedestrian Attention: Visual Saliency as Aid for More Visible Wayfinding Design
by Gwangbin Kim, Dohyeon Yeo, Jieun Lee and SeungJun Kim
Land 2023, 12(2), 394; https://doi.org/10.3390/land12020394 - 1 Feb 2023
Cited by 1 | Viewed by 2141
Abstract
Signs, landmarks, and other urban elements should attract attention to or harmonize with the environment for successful landscape design. These elements also provide information during navigation—particularly for people with cognitive difficulties or those unfamiliar with the geographical area. Nevertheless, some urban components are [...] Read more.
Signs, landmarks, and other urban elements should attract attention to or harmonize with the environment for successful landscape design. These elements also provide information during navigation—particularly for people with cognitive difficulties or those unfamiliar with the geographical area. Nevertheless, some urban components are less eye-catching than intended because they are created and positioned irrespective of their surroundings. While quantitative measures such as eye tracking have been introduced, they help the initial or final stage of the urban design process and they involve expensive experiments. We introduce machine-learning-predicted visual saliency as iterative feedback for pedestrian attention during urban element design. Our user study focused on wayfinding signs as part of urban design and revealed that providing saliency prediction promoted a more efficient and helpful design experience without compromising usability. The saliency-guided design practice also contributed to producing more eye-catching and aesthetically pleasing urban elements. The study demonstrated that visual saliency can lead to an improved urban design experience and outcome, resulting in more accessible cities for citizens, visitors, and people with cognitive impairments. Full article
(This article belongs to the Special Issue Built Environment, Pedestrian Behaviors, and Urban Sustainability)
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