Data driven smart policing: A novel road distance-based k-median model for optimal substation placement

作者：

Highlights：

• We explore the problem of placing police substations to respond to crimes in a smart city context efficiently.

• We show that police substations' optimized locations could help law enforcement agencies for effective policymaking.

• The proposed methods can also be extended for traffic workforce distribution in urban populations.

• Data-driven smart policymaking is effectively useful in the context of smart cities research.

摘要

•We explore the problem of placing police substations to respond to crimes in a smart city context efficiently.•We show that police substations' optimized locations could help law enforcement agencies for effective policymaking.•The proposed methods can also be extended for traffic workforce distribution in urban populations.•Data-driven smart policymaking is effectively useful in the context of smart cities research.

论文关键词：Crime analysis,Optimal location,Geometric clustering

论文评审过程：Received 17 December 2020, Revised 4 August 2021, Accepted 6 September 2021, Available online 16 September 2021, Version of Record 20 September 2021.

论文官网地址：https://doi.org/10.1016/j.chb.2021.107014