Nonlinear relationships and interaction effects of an urban environment on crime incidence: Application of urban big data and an interpretable machine learning method

•This study analyzed the relationship between crime and the urban environment.•Nonlinear relationships between crime and the urban environment were confirmed.•The interaction effects of urban environment on crime have been identified.•This study provides policy implications to promote public safety....

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Bibliographic Details
Published in:Sustainable cities and society 2023-04, Vol.91, p.104419, Article 104419
Main Authors: Kim, Sunjae, Lee, Sugie
Format: Article
Language:English
Subjects:
Crime
Interaction effect
Interpretable machine learning (IML)
Nonlinear relationship
Shapley additive explanations (SHAP)
Sustainability and resiliency of cities
Urban safety
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