IDEAS home Printed from https://ideas.repec.org/a/spr/jtrsec/v15y2022i3d10.1007_s12198-022-00254-w.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12198-022-00254-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12198-022-00254-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. Gorr, Wilpen & Olligschlaeger, Andreas & Thompson, Yvonne, 2003. "Short-term forecasting of crime," International Journal of Forecasting, Elsevier, vol. 19(4), pages 579-594.
    6. James G. March & Zur Shapira, 1987. "Managerial Perspectives on Risk and Risk Taking," Management Science, INFORMS, vol. 33(11), pages 1404-1418, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Winter, Peter, 2007. "Managerial Risk Accounting and Control – A German perspective," MPRA Paper 8185, University Library of Munich, Germany.
    2. Li, Xu & Vermeulen, Freek, 2021. "High risk, low return (and vice versa): the effect of product innovation on firm performance in a transition economy," LSE Research Online Documents on Economics 120268, London School of Economics and Political Science, LSE Library.
    3. Narduzzo, Alessandro & Warglien, Massimo, 1996. "Learning from the Experience of Others: An Experiment on Information Contagion," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 5(1), pages 113-126.
    4. Nabiha Nefzi, 2018. "Fear Of Failure And Entrepreneurial Risk Perception," International Journal of Entrepreneurial Knowledge, Center for International Scientific Research of VSO and VSPP, vol. 6(2), pages 45-58, December.
    5. Holger Patzelt & Dean A. Shepherd, 2009. "Strategic Entrepreneurship at Universities: Academic Entrepreneurs’ Assessment of Policy Programs," Entrepreneurship Theory and Practice, , vol. 33(1), pages 319-340, January.
    6. Schweizer, Lars & Patzelt, Holger, 2012. "Employee commitment in the post-acquisition integration process: The effect of integration speed and leadership," Scandinavian Journal of Management, Elsevier, vol. 28(4), pages 298-310.
    7. Patzelt, Holger & zu Knyphausen-Aufseß, Dodo & Fischer, Heiko T., 2009. "Upper echelons and portfolio strategies of venture capital firms," Journal of Business Venturing, Elsevier, vol. 24(6), pages 558-572, November.
    8. T. K. Das & Bing-Sheng Teng, 1998. "Time and Entrepreneurial Risk Behavior," Entrepreneurship Theory and Practice, , vol. 22(2), pages 69-88, January.
    9. Anthony Goerzen & Stephen Sapp & Andrew Delios, 2010. "Investor Response to Environmental Risk in Foreign Direct Investment," Management International Review, Springer, vol. 50(6), pages 683-708, December.
    10. G. Rejikumar & Aswathy Asokan-Ajitha & Sofi Dinesh & Ajay Jose, 2022. "The role of cognitive complexity and risk aversion in online herd behavior," Electronic Commerce Research, Springer, vol. 22(2), pages 585-621, June.
    11. Delis, Manthos D. & Hasan, Iftekhar & Tsionas, Efthymios G., 2015. "Firms' risk endogenous to strategic management choices," Bank of Finland Research Discussion Papers 16/2015, Bank of Finland.
    12. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    13. Udo Milkau, 2017. "Risk Culture during the Last 2000 Years—From an Aleatory Society to the Illusion of Risk Control," IJFS, MDPI, vol. 5(4), pages 1-20, December.
    14. Philip Bromiley, 2009. "A Prospect Theory Model of Resource Allocation," Decision Analysis, INFORMS, vol. 6(3), pages 124-138, September.
    15. Alserda, Gosse A.G. & Dellaert, Benedict G.C. & Swinkels, Laurens & van der Lecq, Fieke S.G., 2019. "Individual pension risk preference elicitation and collective asset allocation with heterogeneity," Journal of Banking & Finance, Elsevier, vol. 101(C), pages 206-225.
    16. Malmendier, Ulrike & Tate, Geoffrey, 2008. "Who makes acquisitions? CEO overconfidence and the market's reaction," Journal of Financial Economics, Elsevier, vol. 89(1), pages 20-43, July.
    17. Aven, Terje, 2016. "Ignoring scenarios in risk assessments: Understanding the issue and improving current practice," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 215-220.
    18. Ziegler Haselein, Bruno & da Silva, Jonny Carlos & Hooey, Becky L., 2024. "Multiple machine learning modeling on near mid-air collisions: An approach towards probabilistic reasoning," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    19. Elisabetta Mafrolla & Felice Matozza, 2014. "Risk management and firm size: a survey of Italian private companies," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2014(3), pages 87-108.
    20. Michel Benaroch, 2018. "Real Options Models for Proactive Uncertainty-Reducing Mitigations and Applications in Cybersecurity Investment Decision Making," Information Systems Research, INFORMS, vol. 29(2), pages 315-340, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jtrsec:v:15:y:2022:i:3:d:10.1007_s12198-022-00254-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.