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Exploring the Complex Association Between Urban Built Environment, Sociodemographic Characteristics and Crime: Evidence from Washington, D.C

Author

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  • Kaixin Liu

    (The School of Architecture, Tianjin University, Tianjin 300354, China)

  • Longhao Zhang

    (The School of Architecture, Tianjin University, Tianjin 300354, China)

  • Shangen Tsou

    (The School of Architecture, Tianjin University, Tianjin 300354, China)

  • Lei Wang

    (The School of Architecture, Tianjin University, Tianjin 300354, China)

  • Yike Hu

    (The School of Architecture, Tianjin University, Tianjin 300354, China)

  • Ke Yang

    (The School of Architecture, Tianjin University, Tianjin 300354, China
    School of Architecture and Planning, Jilin Jianzhu University, Changchun 130118, China)

Abstract

The urban built environment and sociodemographic characteristics have complex relationships with urban crime. However, previous studies have had limitations such as generalizing urban green space types, urban functionality, and sociodemographic characteristics. Given these, this study aimed to explore the relationship between them using more detailed indicators. The study utilized Google Street View and points of interest to depict the built environment. Building on previous work that segmented natural and artificial elements in streetscape images, this study further distinguished trees, bush, and grass. Additionally, it incorporated data from the Data Analysis and Visualization Unit of the DC Office of Planning to reflect a broader range of individual characteristics. Weighted least squares regression and Pearson correlation analysis were used to test the relationship between the built environment, sociodemographic, and crime, respectively. Some of the key findings are as follows. (1) Trees, bushes, and grass all reduce crime. (2) Urban functionality is hard to curb crime by enhancing informal public surveillance. (3) Among the sociodemographic variables, the walking commute rate is the variable most strongly positively correlated with crime. (4) Family relationships play an important role in suppressing crime. This study examined a more comprehensive range of indicators affecting urban crime in favor of safer cities.

Suggested Citation

  • Kaixin Liu & Longhao Zhang & Shangen Tsou & Lei Wang & Yike Hu & Ke Yang, 2024. "Exploring the Complex Association Between Urban Built Environment, Sociodemographic Characteristics and Crime: Evidence from Washington, D.C," Land, MDPI, vol. 13(11), pages 1-17, November.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:11:p:1886-:d:1518538
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    References listed on IDEAS

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    1. Young-Jae Kim & Eun Jung Kim, 2020. "Neighborhood Greenery as a Predictor of Outdoor Crimes between Low and High Income Neighborhoods," IJERPH, MDPI, vol. 17(5), pages 1-13, February.
    2. Edward L. Glaeser & Bruce Sacerdote, 1999. "Why Is There More Crime in Cities?," Journal of Political Economy, University of Chicago Press, vol. 107(S6), pages 225-258, December.
    3. Airaksinen, Jaakko & Aaltonen, Mikko & Tarkiainen, Lasse & Martikainen, Pekka & Latvala, Antti, 2021. "Associations of neighborhood disadvantage and offender concentration with criminal behavior: Between-within analysis in Finnish registry data," Journal of Criminal Justice, Elsevier, vol. 74(C).
    4. Viniece Jennings & Omoshalewa Bamkole, 2019. "The Relationship between Social Cohesion and Urban Green Space: An Avenue for Health Promotion," IJERPH, MDPI, vol. 16(3), pages 1-14, February.
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