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Determinants of Capacity Utilisation in Road Freight Transportation

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  • Megersa Abate

Abstract

Recent performance indicators in the European road freight transport sector show there is an excess capacity. To shed light on this, this paper studies two aspects of capacity utilisation in trucking: the extent of empty running and the load factor. Using a joint econometric modelling framework, the paper shows that they can be explained as a function of haul, carrier, and truck characteristics. For estimation, a unique dataset from the Danish heavy vehicle trip diary was used. The results indicate distance and being a for-hire carrier have a positive effect on capacity utilisation, whereas the effect of truck size is non-linear. © 2014 LSE and the University of Bath

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  • Megersa Abate, 2014. "Determinants of Capacity Utilisation in Road Freight Transportation," Journal of Transport Economics and Policy, University of Bath, vol. 48(1), pages 137-152, January.
    • Handle: RePEc:tpe:jtecpo:v:48:y:2014:i:1:p:137-152
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    Cited by:

    1. Abate, Megersa & de Jong, Gerard, 2014. "The optimal shipment size and truck size choice – The allocation of trucks across hauls," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 262-277.
    2. Goel, Rajeev K. & Nelson, Michael A., 2021. "Capacity utilization in emerging economy firms: Some new insights related to the role of infrastructure and institutions," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 97-106.
    3. Galvin, Ray & Martulli, Alessandro & Ruzzenenti, Franco, 2021. "Does power curb energy efficiency? Evidence from two decades of European truck tests," Energy, Elsevier, vol. 232(C).
    4. Abate, Megersa, 2014. "Does fuel price affect trucking industry’s network characteristics?: evidence from Denmark," Working papers in Transport Economics 2014:26, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    5. Camélia Dadouchi & Bruno Agard, 2021. "Recommender systems as an agility enabler in supply chain management," Journal of Intelligent Manufacturing, Springer, vol. 32(5), pages 1229-1248, June.

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