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Article

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

by
Kaixin Liu
1,
Longhao Zhang
1,
Shangen Tsou
1,
Lei Wang
1,
Yike Hu
1,* and
Ke Yang
1,2,*
1
The School of Architecture, Tianjin University, Tianjin 300354, China
2
School of Architecture and Planning, Jilin Jianzhu University, Changchun 130118, China
*
Authors to whom correspondence should be addressed.
Land 2024, 13(11), 1886; https://doi.org/10.3390/land13111886
Submission received: 11 September 2024 / Revised: 13 October 2024 / Accepted: 8 November 2024 / Published: 11 November 2024

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.
Keywords: urban crime; urban built environment; street view image; street greening structure; sociodemographic characteristics urban crime; urban built environment; street view image; street greening structure; sociodemographic characteristics

Share and Cite

MDPI and ACS Style

Liu, K.; Zhang, L.; Tsou, S.; Wang, L.; Hu, Y.; Yang, K. Exploring the Complex Association Between Urban Built Environment, Sociodemographic Characteristics and Crime: Evidence from Washington, D.C. Land 2024, 13, 1886. https://doi.org/10.3390/land13111886

AMA Style

Liu K, Zhang L, Tsou S, Wang L, Hu Y, Yang K. Exploring the Complex Association Between Urban Built Environment, Sociodemographic Characteristics and Crime: Evidence from Washington, D.C. Land. 2024; 13(11):1886. https://doi.org/10.3390/land13111886

Chicago/Turabian Style

Liu, Kaixin, Longhao Zhang, Shangen Tsou, Lei Wang, Yike Hu, and Ke Yang. 2024. "Exploring the Complex Association Between Urban Built Environment, Sociodemographic Characteristics and Crime: Evidence from Washington, D.C." Land 13, no. 11: 1886. https://doi.org/10.3390/land13111886

APA Style

Liu, K., Zhang, L., Tsou, S., Wang, L., Hu, Y., & Yang, K. (2024). Exploring the Complex Association Between Urban Built Environment, Sociodemographic Characteristics and Crime: Evidence from Washington, D.C. Land, 13(11), 1886. https://doi.org/10.3390/land13111886

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