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Fuel theft in road freight transport: understanding magnitude and impacts of anti-theft devices

Author

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  • Luca Urciuoli

    (Department Industrial Engineering and Management
    MIT-Zaragoza Logistics Center)

Abstract

Fuel is one of the most important cost items that road carriers include in their freight rates. It has been demonstrated that unexpected changes of fuel costs influence mobility, logistics performance and profit margins. Experts believe that criminal organizations are targeting the transport sector to steal, smuggle and contraband diesel fuel. Today, very little data exist across the scientific community, depicting this phenomenon. Hence, the goal of this study is to shed light on the problem of diesel theft in freight transport, with a focus on determining its magnitude, its geographical displacement, main modus operandi, and potential impact of protective measures. A survey is developed and used to collect data from members of the Swedish Association of Road Transport companies. Replies from 189 companies are collected (18.9% response rate) and analyzed. Overall, this study unveils that about 150,225 l of fuels have been stolen from Swedish road carriers. In addition, data reveals that only a minority of these companies are affected by the problem, opening the hypothesis that attacks are geographically concentrated in areas where transport/logistics operations are intense. Several devices are available today to avoid fuel theft. Among those, tank gauging and radar-based technologies are preferred by companies, in view of their deterring effects.

Suggested Citation

  • Luca Urciuoli, 2020. "Fuel theft in road freight transport: understanding magnitude and impacts of anti-theft devices," Journal of Transportation Security, Springer, vol. 13(1), pages 1-18, June.
    • Handle: RePEc:spr:jtrsec:v:13:y:2020:i:1:d:10.1007_s12198-020-00207-1
    DOI: 10.1007/s12198-020-00207-1
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    References listed on IDEAS

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    1. N. Viswanadham & Roshan S. Gaonkar, 2008. "Risk Management in Global Supply Chain Networks," International Series in Operations Research & Management Science, in: Christopher S. Tang & Chung-Piaw Teo & Kwok-Kee Wei (ed.), Supply Chain Analysis, pages 201-222, Springer.
    2. Urciuoli, Luca, 2016. "What are the causes of transport insecurity? Results from a survey with transport operators," Transport Policy, Elsevier, vol. 47(C), pages 189-202.
    3. Ageeva Svetlana & Suslov Nikita, 2009. "Influence of energy prices on the size of shadow economy: a cross country analysis," EERC Working Paper Series 09/05e, EERC Research Network, Russia and CIS.
    4. Talarico, Luca & Zamparini, Luca, 2017. "Intermodal transport and international flows of illicit substances: Geographical analysis of smuggled goods in Italy," Journal of Transport Geography, Elsevier, vol. 60(C), pages 1-10.
    5. Reggiani, Aura, 2013. "Network resilience for transport security: Some methodological considerations," Transport Policy, Elsevier, vol. 28(C), pages 63-68.
    6. Notteboom, Theo E. & Vernimmen, Bert, 2009. "The effect of high fuel costs on liner service configuration in container shipping," Journal of Transport Geography, Elsevier, vol. 17(5), pages 325-337.
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