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

Yuanyuan Mao, Shenzhi Dai, Jiajun Ding, Wei Zhu, Can Wang, Xinyue Ye

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


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.

Original languageEnglish (US)
Article number357
JournalISPRS International Journal of Geo-Information
Issue number9
StatePublished - Sep 2018

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)


  • Environmental criminology
  • Human dynamics
  • Shanghai
  • Space–time analysis
  • Vehicle theft


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