Land Use Planning for Post COVID-19 Urban Transport Transformations

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Urban Contexts and Urban-Rural Interactions".

Deadline for manuscript submissions: closed (13 November 2024) | Viewed by 3800

Special Issue Editors


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Guest Editor
School of Civil Engineering, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece
Interests: transportation land planning; public transport; performance measurement; active mobility; quality of service; benchmarking; sustainable urban transport; travel behavior; operations research

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Guest Editor
Civil Engineering and Architecture Department (DICAR), University of Catania, v. Santa Sofia 64, 95123 Catania, Italy
Interests: transportation land planning; sustainable mobility; transport planning; decision support analysis; innovative transport systems; city logistics; maritime transports and port-city interactions

Special Issue Information

Dear Colleagues,

The COVID-19 pandemic served as the catalyst for transformations in the concepts of urban design and mobility. Cities with high population densities, poor accessibility to open and green spaces and over-reliance on motorized transport faced important challenges while implementing social distancing measures and concurrently maintaining decent levels of physical activity, mental health and well-being for their citizens. Therefore, many cities worldwide made bold decisions on reallocating and revitalizing their public space in favor of the modes of active mobility and public transport. The expansion of bicycle and pedestrian lanes, increased space for public transport stops and exclusive lanes, full closure of roads to motor vehicles, and sidewalk extensions are some of the mobility management measures which were observed amid the COVID-19 pandemic period. These measures highlighted necessary adjustments in the traditional urban form models. New urban design concepts emerged, such as the 15-minute city, while others, such as car-free cities, low-emission zones, and superblocks, were recognized as ideal land use planning examples in the post-pandemic era because they were more capable of realizing sustainable urban mobility needs.  

This Special Issue examines the parallel evolution and interactions of sustainable transport systems and land use planning in post-pandemic cities. How should land use planning be adjusted to facilitate greater access to active mobility and public transport? What is the impact of the new urban and transport design concepts on citizens’ lifestyles?

We are inviting original research or review papers that investigate the land use design, planning and management aspects of sustainable transport systems in modern urban environments.

Suggested themes include, but are not limited to:

  • Accessibility-based transport planning;
  • Sophisticated methodologies for land use and transport planning in urban contexts;
  • New urban design paradigms (15-minute cities, superblocks, car-free cities etc.);
  • Post-pandemic adjustments of active mobility, public transport, flexible and on-demand transport services;
  • Local mobility needs and expectations.

Dr. Georgios Georgiadis
Dr. Elena Cocuzza
Dr. Tiziana Campisi
Guest Editors

Manuscript Submission Information

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Keywords

  • land use and transport planning
  • urban space design
  • 15-minute city
  • accessibility
  • public transport
  • public space

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Published Papers (3 papers)

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Research

20 pages, 4397 KiB  
Article
An Improved Machine Learning Framework Considering Spatiotemporal Heterogeneity for Analyzing the Relationship Between Subway Station-Level Passenger Flow Resilience and Land Use-Related Built Environment
by Peikun Li, Quantao Yang, Wenbo Lu, Shu Xi and Hao Wang
Land 2024, 13(11), 1887; https://doi.org/10.3390/land13111887 - 11 Nov 2024
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Abstract
The COVID-19 pandemic and similar public health emergencies have significantly impacted global travel patterns. Analyzing the recovery characteristics of subway station-level passenger flow during the pandemic recovery phase can offer unique insights into public transportation operations and guide practical planning efforts. This pioneering [...] Read more.
The COVID-19 pandemic and similar public health emergencies have significantly impacted global travel patterns. Analyzing the recovery characteristics of subway station-level passenger flow during the pandemic recovery phase can offer unique insights into public transportation operations and guide practical planning efforts. This pioneering study constructs a station-level passenger flow recovery resilience (PFRR) index during the rapid recovery phase using subway AFC system swipe data. Additionally, it develops an analytical framework based on a multiscale geographically weighted regression (MGWR) model, the improved gray wolf optimization with Levy flight (LGWO), and light gradient boosting machine (LightGBM) regression to analyze passenger flow resilience on weekdays and weekends in relation to land use-related built environment types. Finally, SHAP attribution analysis is used to study the nonlinear relationships between built environment variables and PFRR index. The results show significant spatial heterogeneity in the impact of commercial, recreational, and residential land, as well as POI (points of interest) of leisure and shopping on PFRR. On weekdays, the most relevant built environment variables for PFRR are POI of enterprises and shopping numbers. In contrast, the contribution of built environment variables affecting PFRR of weekend is more balanced, reflecting the recovery of non-essential travel on weekends. Most land use-related built environment variables exhibit nonlinear associations with PFRR values. The proposed analytical framework shows significant performance advantages over other baseline models. This study provides unique insights into subway passenger flow characteristics and surrounding land use-related development layouts under the impact of public health emergencies. Full article
(This article belongs to the Special Issue Land Use Planning for Post COVID-19 Urban Transport Transformations)
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16 pages, 2469 KiB  
Article
Nonlinear Relationship of Multi-Source Land Use Features with Temporal Travel Distances at Subway Station Level: Empirical Study from Xi’an City
by Peikun Li, Quantao Yang and Wenbo Lu
Land 2024, 13(7), 1021; https://doi.org/10.3390/land13071021 - 8 Jul 2024
Cited by 3 | Viewed by 742
Abstract
The operation of the subway system necessitates a comprehensive understanding of passenger flow characteristics at station locations, as well as a keen awareness of the average travel distances at these stations. Moreover, the travel distances at the station level bear a direct relationship [...] Read more.
The operation of the subway system necessitates a comprehensive understanding of passenger flow characteristics at station locations, as well as a keen awareness of the average travel distances at these stations. Moreover, the travel distances at the station level bear a direct relationship with the built environment composed of land use characteristics within the station’s catchment area. To this end, we selected the land use features within an 800 m radius of the station (land use area, distribution of points of interest, and the surrounding living environment) as the influencing factors, with the travel distances at peak hours on the subway network in Xi’an as the research subject. An improved SSA-XGBOOST-SHAP interpretable machine learning framework was established. The research findings demonstrate that the proposed enhanced model outperforms traditional machine learning or linear regression methods in terms of R-squared, MAE, and RMSE. Furthermore, the distance from the city center, road network density, the number of public transit routes, and the land use mix have a pronounced influence on travel distances, reflecting the significant impact that mature built environments can have on passenger attraction. Additionally, the analysis reveals a notable nonlinear relationship and threshold effect between the built environment variables comprising land use and the travel distances during peak hours. The research results provide data-driven support for operational strategy management and line capacity optimization, as well as theoretical underpinnings for enhancing the efficiency and sustainability of the entire subway system. Full article
(This article belongs to the Special Issue Land Use Planning for Post COVID-19 Urban Transport Transformations)
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21 pages, 2109 KiB  
Article
Urban Development and Transportation: Investigating Spatial Performance Indicators of 12 European Union Coastal Regions
by Paraskevas Nikolaou and Socrates Basbas
Land 2023, 12(9), 1757; https://doi.org/10.3390/land12091757 - 10 Sep 2023
Cited by 1 | Viewed by 1318
Abstract
Urbanization is one of the most dominant economic and social changes of the 20th century. This phenomenon brings about rapid urban development, which is inextricably linked to transport development. In order to understand this relationship, it is important to analyze the spatial spillover [...] Read more.
Urbanization is one of the most dominant economic and social changes of the 20th century. This phenomenon brings about rapid urban development, which is inextricably linked to transport development. In order to understand this relationship, it is important to analyze the spatial spillover effects of the phenomenon in the urban environment. This study analyzes the spatial performance, in terms of urban development, of 12 European Union regions from five European countries with coastal areas by incorporating spatial data such as length of road network, population distribution, land uses, and other factors. Key performance indicators have been developed for evaluating the structural development model of the regions (e.g., dense or sprawl development). In addition, the incorporation of spatial spillover effects in the evaluation of the regions was conducted by the extended spatial data envelopment analysis (SDEA) method. The results of SDEA identified the best and worst-performing regions in terms of urban growth. Finally, this study implements a target-setting approach where under-performing regions can best perform. Based on the target-setting approach, local authorities can set realistic targets for improving the structural model that the regions are following. Full article
(This article belongs to the Special Issue Land Use Planning for Post COVID-19 Urban Transport Transformations)
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