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Seasonality of incident types in transport crime – Analysis of TAPA statistics
University of Borås, Faculty of Textiles, Engineering and Business. Supply Chain Management and Social Responsibility, Hanken School of Economics, 00101 Helsinki, Finland.ORCID iD: 0000-0003-0871-1838
Technology Management and Economics, Chalmers University of Technology, 412 96, Gothenburg, Sweden.
2022 (English)In: Journal of Transportation Security, ISSN 1938-7741, E-ISSN 1938-775XArticle in journal (Refereed) Epub ahead of print
Abstract [en]

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.

Place, publisher, year, edition, pages
2022.
Keywords [en]
Supply chain risk, Antagonistic threats, Transport, Value of stolen cargo, Cargo theft incident categories
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:hb:diva-28657DOI: 10.1007/s12198-022-00254-wISI: 000854670500001Scopus ID: 2-s2.0-85138299414OAI: oai:DiVA.org:hb-28657DiVA, id: diva2:1698730
Available from: 2022-09-26 Created: 2022-09-26 Last updated: 2022-11-04Bibliographically approved

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Ekwall, Daniel

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