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Neighbourhood permeability and burglary: a case study of a city in China

Wang, Zhong; Lu, Jun; Beccarelli, Paolo; Yang, Chuan

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Authors

Zhong Wang

Jun Lu

Chuan Yang



Abstract

Much research from different fields has explored the crime-space relationship for different crime types with various study units. However, empirical studies in the diverse urban environments get conflict results that support the two contrary planning paradigms, 'open' and 'closed' solutions. Through a case study in one prosperous city in China, this research tries to detect the relationship between neighbourhood permeability and the burglary distribution pattern with the study unit of neighbourhood committees. This study focuses on three types of permeability, namely socio-economic, physical, and spatial ones. Our findings show that neighbourhoods with generally lower physical or spatial permeability allowing fewer people to enter or pass by are associate with burglary clustering. Socio-economic barriers offer a positive impact on burglary prevention. Nevertheless, the relationship between permeability and crime distribution is not geographically uniform over the whole city. A suggestion for future research is outlined in the conclusion.

Citation

Wang, Z., Lu, J., Beccarelli, P., & Yang, C. (2021). Neighbourhood permeability and burglary: a case study of a city in China. Intelligent Buildings International, https://doi.org/10.1080/17508975.2021.1904202

Journal Article Type Article
Acceptance Date Mar 13, 2021
Online Publication Date Apr 2, 2021
Publication Date Apr 2, 2021
Deposit Date May 25, 2021
Publicly Available Date Apr 3, 2022
Journal Intelligent Buildings International
Print ISSN 1750-8975
Electronic ISSN 1756-6932
Publisher Taylor & Francis Open
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1080/17508975.2021.1904202
Keywords Building and Construction; Computer Science Applications
Public URL https://nottingham-repository.worktribe.com/output/5571878
Publisher URL https://www.tandfonline.com/doi/abs/10.1080/17508975.2021.1904202

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