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Assessing the Influence of Prior on Subsequent Street Robbery Location Choices: A Case Study in ZG City, China

Author

Listed:
  • Dongping Long

    (Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China)

  • Lin Liu

    (School of Geographical Science, Center of GeoInformatics for Public Security, Guangzhou University, Guangzhou 510275, China
    Department of Geography, University of Cincinnati, Cincinnati, OH 45221-0131, USA)

  • Jiaxin Feng

    (Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China)

  • Suhong Zhou

    (Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China)

  • Fengrui Jing

    (Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China)

Abstract

The literature shows that offenders’ subsequent crime location choices are affected by their prior crime location choices. However, the published studies have focused on the influence of time and place of a previous crime, without testing the impact of whether the offender was arrested during the act of the prior crime. On the basis of the literature, this study further examines the influence of the prior robbery experiences on the subsequent street robbery location choices, by testing explicit hypotheses on how the time, place, and being arrested in the act of previous robberies affect a robber’s subsequent decisions of where to commit robberies. The data set used in this study includes 1262 detected robberies committed by 527 street robbers from the ZG City Public Security Bureau in China. Results of a mixed logit model demonstrate that prior street robbery experiences have a strong effect on subsequent street robbery location choices. A shorter time interval and less possibility of being arrested in the act of a prior street robbery significantly increase the likelihood of a robber returning to the previous location. However, the impact of distance of journey to prior crime location is not statistically significant.

Suggested Citation

  • Dongping Long & Lin Liu & Jiaxin Feng & Suhong Zhou & Fengrui Jing, 2018. "Assessing the Influence of Prior on Subsequent Street Robbery Location Choices: A Case Study in ZG City, China," Sustainability, MDPI, vol. 10(6), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1818-:d:149942
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    References listed on IDEAS

    as
    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    2. George Galster & Anna Santiago, 2017. "Neighbourhood ethnic composition and outcomes for low-income Latino and African American children," Urban Studies, Urban Studies Journal Limited, vol. 54(2), pages 482-500, February.
    3. Bruce L. Benson & Paul R. Zimmerman (ed.), 2010. "Handbook on the Economics of Crime," Books, Edward Elgar Publishing, number 13180.
    4. Jaewook Byeon & Iljoong Kim & Dongwon Lee, 2018. "Protest and property crime: political use of police resources and the deterrence of crime," Public Choice, Springer, vol. 175(1), pages 181-196, April.
    5. Yicheng Tang & Xinyan Zhu & Wei Guo & Xinyue Ye & Tao Hu & Yaxin Fan & Faming Zhang, 2017. "Non-Homogeneous Diffusion of Residential Crime in Urban China," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    6. Wim Bernasco & Richard Block & Stijn Ruiter, 2013. "Go where the money is: modeling street robbers' location choices," Journal of Economic Geography, Oxford University Press, vol. 13(1), pages 119-143, January.
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    Cited by:

    1. Frith, Michael J., 2019. "Modelling taste heterogeneity regarding offence location choices," Journal of choice modelling, Elsevier, vol. 33(C).
    2. K. Kuralarasan & Wim Bernasco, 2022. "Location Choice of Snatching Offenders in Chennai City," Journal of Quantitative Criminology, Springer, vol. 38(3), pages 673-696, September.
    3. Sophie Curtis-Ham & Wim Bernasco & Oleg N. Medvedev & Devon L. L. Polaschek, 2022. "The Importance of Importance Sampling: Exploring Methods of Sampling from Alternatives in Discrete Choice Models of Crime Location Choice," Journal of Quantitative Criminology, Springer, vol. 38(4), pages 1003-1031, December.
    4. Fengrui Jing & Lin Liu & Suhong Zhou & Guangwen Song, 2020. "Examining the Relationship between Hukou Status, Perceived Neighborhood Conditions, and Fear of Crime in Guangzhou, China," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    5. Guangwen Song & Wim Bernasco & Lin Liu & Luzi Xiao & Suhong Zhou & Weiwei Liao, 2019. "Crime Feeds on Legal Activities: Daily Mobility Flows Help to Explain Thieves’ Target Location Choices," Journal of Quantitative Criminology, Springer, vol. 35(4), pages 831-854, December.
    6. Fangye Du & Lin Liu & Chao Jiang & Dongping Long & Minxuan Lan, 2019. "Discerning the Effects of Rural to Urban Migrants on Burglaries in ZG City with Structural Equation Modeling," Sustainability, MDPI, vol. 11(3), pages 1-13, January.

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