Space–time analysis of vehicle theft patterns in Shanghai, China

Document Type

Article

Publication Date

9-1-2018

Abstract

To identify and compare the space–time patterns of vehicle thefts and the effects of associated environmental factors, this paper conducts a case study of the Pudong New Area (PNA), a major urban district in Shanghai, China’s largest city. Geographic information system (GIS)-based analysis indicated that there was a stable pattern of vehicle theft over time. Hotspots of vehicle theft across different time periods were identified. These data provide clues for how law enforcement can prioritize the deployment of limited patrol and investigative resources. Vehicle thefts, especially those of non-motor vehicles, tend to be concentrated in the central-western portion of the PNA, which experienced a dramatic rate of urbanization and has a high concentration of people and vehicles. Important factors contributing to vehicle thefts include a highly mobile and transitory population, a large population density, and high traffic volume.

Identifier

85106809746 (Scopus)

Publication Title

Canadian Historical Review

External Full Text Location

https://doi.org/10.3390/ijgi7090357

e-ISSN

17101093

ISSN

00083755

Issue

9

Volume

7

Grant

51778384

Fund Ref

National Natural Science Foundation of China

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