Computer-aided analysis: Correlation between urban green spaces and crime rates

Abstract. Urban green spaces have been associated with various social and environmental benefits, including their potential impact on crime rates. This study investigates the correlation between urban green spaces and crime rates using a combination of Geographic Information Systems (GIS) and advanced statistical analysis. By analyzing data from a large metropolitan area, we examine how green space characteristics such as size, type, and maintenance influence crime patterns. Our findings indicate that well-maintained green spaces with diverse amenities can significantly reduce crime rates, whereas neglected areas may become hotspots for criminal activities. The study also explores temporal patterns of crime in relation to green spaces, revealing that adequate lighting and community presence are crucial for nighttime safety. Policy recommendations are provided to help urban planners and policymakers leverage green spaces to enhance urban safety. By integrating multiple analytical techniques, this research contributes to a comprehensive understanding of the role of green spaces in urban crime prevention and offers actionable insights for future urban planning.

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Publication Details

Journal
Applied and Computational Engineering
Published
2024-11-08
DOI
https://doi.org/10.54254/2755-2721/93/20240971
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
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article

Computer-aided analysis: Correlation between urban green spaces and crime rates

Y.S. Kong
Applied and Computational Engineering
Land Use and Ecosystem Services
article

Computer-aided analysis: Correlation between urban green spaces and crime rates

Y.S. Kong
article en

Abstract

Abstract. Urban green spaces have been associated with various social and environmental benefits, including their potential impact on crime rates. This study investigates the correlation between urban green spaces and crime rates using a combination of Geographic Information Systems (GIS) and advanced statistical analysis. By analyzing data from a large metropolitan area, we examine how green space characteristics such as size, type, and maintenance influence crime patterns. Our findings indicate that well-maintained green spaces with diverse amenities can significantly reduce crime rates, whereas neglected areas may become hotspots for criminal activities. The study also explores temporal patterns of crime in relation to green spaces, revealing that adequate lighting and community presence are crucial for nighttime safety. Policy recommendations are provided to help urban planners and policymakers leverage green spaces to enhance urban safety. By integrating multiple analytical techniques, this research contributes to a comprehensive understanding of the role of green spaces in urban crime prevention and offers actionable insights for future urban planning.

Applied and Computational EngineeringVol. 93(1)
Politecnico di Milano (IT)
Sustainable cities and communities
Openalex Percentile: Top 82%
Land Use and Ecosystem Services
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