Abstract
Geographic Information Systems (GIS) empower data-driven urban crime analysis, fostering sustainable and inclusive cities. This systematic review synthesizes 293 studies from 2000 to 2023, examining GIS applications in spatial analysis, crime prevention, socioeconomic influences, and technology integration, aligned with United Nations Sustainable Development Goals (SDGs). Key trends include AI-driven predictive policing, real-time monitoring via IoT and Remote Sensing, and Crime Prevention Through Environmental Design (CPTED) to deter crime through urban planning. Machine learning enhances hotspot mapping precision, integrating diverse data like social media and demographics, yet challenges persist in data quality, ethical AI use, and hyperlocal analysis. Amid evolving crime dynamics driven by inequality and urbanization, GIS supports evidence-based policies to reduce violence and exclusion. Community engagement ensures ethical technology deployment, prioritizing equity. This review highlights GIS’s transformative potential in addressing research gaps and advancing safer urban futures, offering a comprehensive reference for researchers and policymakers.
More Information
Divisions: | Leeds Law School |
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Identification Number: | https://doi.org/10.1016/j.rsase.2025.101583 |
Status: | Published |
Refereed: | Yes |
Publisher: | Elsevier BV |
Uncontrolled Keywords: | 0406 Physical Geography and Environmental Geoscience; 3709 Physical geography and environmental geoscience; 4406 Human geography |
SWORD Depositor: | Symplectic |
Depositing User (symplectic) | Deposited by Bento, Thalita on behalf of Armitage, Rachel |
Date Deposited: | 06 May 2025 10:20 |
Last Modified: | 09 May 2025 01:56 |
Item Type: | Article |
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License: Creative Commons Attribution
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O Mansourihanis
ORCID: 0009-0007-3009-2902
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MJ Maghsoodi Tilaki
ORCID: 0000-0001-9008-0064
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R Armitage
ORCID: 0000-0002-9106-4119
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A Zaroujtaghi
ORCID: 0009-0007-8637-0836