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Seasonality of incident types in transport crime – Analysis of TAPA statistics

Author

Listed:
  • Daniel Ekwall

    (University of Borås
    Hanken School of Economics)

  • Björn Lantz

    (Chalmers University of Technology)

Abstract

This paper examines weekly and annual seasonality in incident categories to find patterns and trends in transport crime globally, concerning the value of stolen goods, incident frequency and incident category. Secondary data is utilized to analyse a contemporary challenge in logistics and supply chain research, namely theft and robbery of goods during shipment. The research is based on the TAPA global IIS transport-related crime database. Incident frequencies and mean values are analysed primarily with chi-square tests and analyses of variance (ANOVAs). The results are analysed and discussed within a frame of reference consisting of theories from logistics and criminology. The main conclusion is that there is an annual as well as a weekly seasonality of most incident categories, but the patterns vary among incident categories. The results are primarily limited by the content and classification within the TAPA IIS database.

Suggested Citation

  • Daniel Ekwall & Björn Lantz, 2022. "Seasonality of incident types in transport crime – Analysis of TAPA statistics," Journal of Transportation Security, Springer, vol. 15(3), pages 193-222, December.
    • Handle: RePEc:spr:jtrsec:v:15:y:2022:i:3:d:10.1007_s12198-022-00254-w
    DOI: 10.1007/s12198-022-00254-w
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    References listed on IDEAS

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    1. Magdalena Jażdżewska-Gutta & Przemysław Borkowski, 2022. "As strong as the weakest link. Transport and supply chain security," Transport Reviews, Taylor & Francis Journals, vol. 42(6), pages 762-783, November.
    2. James G. March & Zur Shapira, 1987. "Managerial Perspectives on Risk and Risk Taking," Management Science, INFORMS, vol. 33(11), pages 1404-1418, November.
    3. Daniel Ekwall & Björn Lantz, 2018. "The use of violence in cargo theft – a supply chain disruption case," Journal of Transportation Security, Springer, vol. 11(1), pages 3-21, June.
    4. Nagurney, Anna & Shukla, Shivani & Nagurney, Ladimer S. & Saberi, Sara, 2018. "A game theory model for freight service provision security investments for high-value cargo," Economics of Transportation, Elsevier, vol. 16(C), pages 21-28.
    5. Liang, Xinrui & Fan, Shiqi & Lucy, John & Yang, Zaili, 2022. "Risk analysis of cargo theft from freight supply chains using a data-driven Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    6. Gorr, Wilpen & Olligschlaeger, Andreas & Thompson, Yvonne, 2003. "Short-term forecasting of crime," International Journal of Forecasting, Elsevier, vol. 19(4), pages 579-594.
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    Cited by:

    1. Beatriz Torres Silva & Mauro Sampaio, 2023. "Factors influencing cargo robbery in last-mile delivery of e-commerce: an empirical study in Brazil," Journal of Transportation Security, Springer, vol. 16(1), pages 1-30, December.

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