GIS in Urban Planning and Spatial Analysis

A special issue of Urban Science (ISSN 2413-8851). This special issue belongs to the section "Urban Planning and Design".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 3957

Special Issue Editor


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Guest Editor
1. Department of Civil Engineering, Architecture and Environment, Instituto Superior Técnico, University of Lisbon, Av Rovisco Pais, 1049-001 Lisboa, Portugal
2. Department of Mineral and Energy Resources Engineering, Instituto Superior Técnico, University of Lisbon, Av Rovisco Pais, 1049-001 Lisboa, Portugal
Interests: geographical information systems; spatial analysis; geographic modelling; spatial data algorithms and computational geometry; geographical information in planning; building information modelling
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Special Issue Information

Dear Colleagues,

Urban planning constitutes a multidisciplinary field of research and practice that necessitates the integrated analysis of economic, social, environmental, and technological dimensions. This approach is guided by sustainability objectives, including the development of cities that are universally accessible, safe, environmentally sustainable, and economically affordable.

Urban planning research necessitates robust information and evaluation tools capable of incorporating temporal and spatial data. Geographical Information Systems (GIS), by addressing spatial phenomena—including environmental and infrastructural characteristics—and offering the ability to integrate heterogeneous datasets, facilitate spatial and temporal analyses, and effectively communicate analytical outcomes, have become integral to an array of applications in sustainable transportation research. Recent scholarly work employing GIS in the context of urban planning has concentrated on topics such as the spatial modelling of active transportation systems, spatial assessment of resource consumption, emissions of air pollutants and greenhouse gases, as well as the planning of urban interventions related to infrastructure, policy, and demand management—often grounded in spatial attributes or utilizing GIS as a decision-support tool.

Currently, this Special Issue is needed for the following reasons. Firstly, although urban planning and the application of GIS in it have seen certain developments, there is still a lack of fully integrating all the aspects within the multidisciplinary nature of urban planning. There are fragmented studies on different elements, but a shortage of comprehensive works that combine economic, social, environmental, and technological aspects in a unified manner. Secondly, with the continuous evolution of urban planning and the emergence of new challenges like rapid urbanization and changing sustainability demands, it has become crucial to further explore and expand the role of GIS to better cope with these situations.

This Special Issue of Urban Science aims to fill several gaps in the literature. In terms of urban data modelling, while some basic spatial data analysis exists in urban planning, more advanced planar, 3D, and spatiotemporal simulation or modelling of urban data is relatively lacking. Regarding the methodological aspects of geospatial data analysis, the existing literature mainly sticks to common methods and lacks exploration on innovatively combining and refining them to analyze the complex impacts on urban life. For data handling techniques for sustainability-related indicators, although GIS can handle data, the conversion and integration of such sustainability-related indicators into spatial data for comprehensive analysis is an area that needs more attention. When it comes to case studies on urban system aspects, there are individual case studies, but a lack of comprehensive and comparative studies specifically analyzing the application of GIS modelling in relation to social equity, economic efficiency, and environmental responsibility of urban systems. Regarding the impacts of spatial data models on sustainability assessment, the impacts of spatial data models, quality, transformation, and processing have not yet been thoroughly investigated. Furthermore, for applications of spatial data mining and related systems, their potential in extracting useful information and enhancing intelligent urban planning is yet to be fully realized.

This Special Issue of Urban Science will include selected contributions on the theory and practice of analyzing spatial data and using GIS in all aspects of urban planning studies. We encourage researchers to submit contributions through articles, reviews, case studies, and position papers where the role and contribution of spatial analysis and geospatial techniques in this scope are enhanced. This may include (as a non-exclusive list of potential topics) contributions on the following:

  • Planar, 3D, and spatiotemporal simulation or modelling of urban data;
  • Methodological aspects of geospatial data analysis impacting life in cities;
  • Data handling techniques for the spatialization of sustainability-related indicators;
  • Case studies concerning the application of GIS modelling and analysis of social equity, economic efficiency, and environmental responsibility of urban systems;
  • Impacts of spatial data models, quality, transformation, and processing in sustainability assessment;
  • Applications for spatial data mining, geovisualization, or spatial decision-support systems for the urban environment.

Dr. Alexandre B. Gonçalves
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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. Urban Science 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 1800 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 planning
  • Geographical Information Systems (GIS)
  • spatial modelling
  • spatial analysis
  • spatial decision-support systems
  • geospatial techniques
  • spatial decision-support systems

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Published Papers (3 papers)

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Research

21 pages, 14646 KB  
Article
Surveilling the Commonwealth: An Analysis of Surveillance Technology Proliferation in Virginia
by Steven Keener, Tucker Keener and Braedon Taylor
Urban Sci. 2026, 10(5), 270; https://doi.org/10.3390/urbansci10050270 - 13 May 2026
Viewed by 212
Abstract
Automatic license plate reader (ALPR) cameras and gunshot detection system (GDS) technology represent rapidly expanding forms of surveillance. Despite their prevalence, empirical literature regarding these tools remains limited, particularly concerning their geographic distribution across the United States. This study addresses this gap by [...] Read more.
Automatic license plate reader (ALPR) cameras and gunshot detection system (GDS) technology represent rapidly expanding forms of surveillance. Despite their prevalence, empirical literature regarding these tools remains limited, particularly concerning their geographic distribution across the United States. This study addresses this gap by conducting a geospatial analysis of crowdsourced ALPR and GDS locations throughout Virginia. Utilizing Geographic Information Systems (GIS), we mapped the concentrations of this technology and analyzed the racial demographic profiles of the most heavily surveilled communities. Our results identify distinct clusters of surveillance technology hubs across Virginia. In these high-intensity areas, surveillance technology is frequently concentrated in and around communities of color. These findings carry an array of implications, including the risk that over-surveilled neighborhoods may disproportionately suffer from the abuse or misuse of these tools. Furthermore, this distribution reflects a historical legacy within the criminal justice system of disproportionately monitoring marginalized populations. The limitations of this analysis are equally revealing: the reliance on crowdsourced data due to a lack of verifiable, publicly accessible coordinates underscores an ongoing lack of transparency. Full article
(This article belongs to the Special Issue GIS in Urban Planning and Spatial Analysis)
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23 pages, 12759 KB  
Article
Mapping Urban Vitality: Geospatial Analysis of Commercial Diversity and Tourism
by Sié Cyriac Noufe, Rachid Belaroussi, Francis Dupin and Pierre-Olivier Vandanjon
Urban Sci. 2026, 10(1), 21; https://doi.org/10.3390/urbansci10010021 - 1 Jan 2026
Viewed by 1140
Abstract
Business diversity in proximity-based environments is emerging as an important requirement in urban planning, especially with the rise of concepts such as the 15-min city, which aim to enhance urban vitality. While many studies have focused on assessing vitality through the conditions defined [...] Read more.
Business diversity in proximity-based environments is emerging as an important requirement in urban planning, especially with the rise of concepts such as the 15-min city, which aim to enhance urban vitality. While many studies have focused on assessing vitality through the conditions defined by Jane Jacobs, few have specifically measured commercial diversity and analyzed its relationship with place popularity, attendance, and tourism activity. Using geo-localized data on businesses and Google Maps reviews in Paris, a diversity index was constructed based on Shannon entropy derived from business categories—Culture and leisure, Food and beverage, Retail stores, Local services—and explored its correlations through statistical analysis. The study reveals a higher level of commercial diversity in central areas compared to the outskirts, as indicated by spatial clustering analysis, along with a positive association between diversity and attendance. However, no significant relationship was observed between commercial diversity and the popularity of the selected establishments. These findings may inform policymakers and urban planners in designing more locally diversified cities and, more broadly, in promoting sustainable urban vitality. Full article
(This article belongs to the Special Issue GIS in Urban Planning and Spatial Analysis)
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16 pages, 3698 KB  
Article
Potential Spatial Accessibility to Primary Percutaneous Coronary Intervention (pPCI) Facilities in the Republic of Serbia for the Year 2030
by Sreten Jevremović, Filip Arnaut, Nataša Mickovski Katalina, Aleksandra Kolarski, Zorana Vasiljević and Aleksandar Medarević
Urban Sci. 2025, 9(9), 355; https://doi.org/10.3390/urbansci9090355 - 5 Sep 2025
Cited by 1 | Viewed by 1431
Abstract
This cross-sectional study evaluates the potential spatial accessibility of primary percutaneous coronary intervention (pPCI) facilities in the Republic of Serbia (RS) for the year 2030. Cardiovascular diseases, specifically acute myocardial infarction (AMI), are major contributors to mortality, requiring immediate intervention to reestablish blood [...] Read more.
This cross-sectional study evaluates the potential spatial accessibility of primary percutaneous coronary intervention (pPCI) facilities in the Republic of Serbia (RS) for the year 2030. Cardiovascular diseases, specifically acute myocardial infarction (AMI), are major contributors to mortality, requiring immediate intervention to reestablish blood circulation to the heart. This research employs travel time isochrone analysis to assess the percentage of the population residing within three specific time intervals (30, 60, and 90 min) from a pPCI facility. We project the percentage of the population residing within a 30 min travel time interval to be 50% in 2030. Additionally, the percentage of the population residing within the 90 min travel time interval from a pPCI facility, i.e., known as the “golden hour” travel time distance, is around 96%, with some weekly variations that equate to 1%. We utilized additional spatial analysis to identify population clusters that reside beyond the 90 min travel time from a pPCI facility. These results point to specific regions where either additional pPCI facilities or better road connections would most effectively reduce treatment delays. Additionally, the study highlighted the optimal location for a novel pPCI facility, which is the city of Vršac. Our findings underline the need for careful planning in the health system, where location and transport data can directly guide measures to improve access and lower cardiovascular disease (CVD) mortality. Full article
(This article belongs to the Special Issue GIS in Urban Planning and Spatial Analysis)
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