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An ex ante evaluation of mobile depots in cities: A sustainability perspective
RISE - Research Institutes of Sweden, ICT, Viktoria. University of Gothenburg, Sweden.
University of Gothenburg, Sweden.
2017 (English)In: International Journal of Sustainable Transportation, ISSN 1556-8318, E-ISSN 1556-8334, Vol. 11, no 8, p. 623-632Article in journal (Refereed) Published
Abstract [en]

Today, a large share of cost, congestion, and emission in cities is attributed to light goods vehicles like carrier vans distributing to the last mile. The aim of many policy agendas is to reach cleaner cities with less disturbance from the distribution vehicles. Several suggestions have been put forward and tested in research and practice, such as access restrictions, multimodal transport, and use of cleaner vehicles. In this paper, we develop a case for a more sustainable freight distribution within cities using an ex ante case study. The idea of the mobile depot is built on the iteration between historical transitions within cities and contemporary developments in urban freight distribution, and then analyzed ex ante both quantitatively in calculations and qualitatively in two stakeholder workshops. The idea is integrated and multimodal, based on a mobile depot (e.g., a bus, truck, barge, or tram) that circles the city and connects to low emission last mile delivery options such as LEVs (Light Electrical Vehicles) or cargo bikes. We found that such a system can be environmentally and socially better for the city context, while maintaining economic viability above a certain utilization rate of the mobile depot for the transport operators.

Place, publisher, year, edition, pages
2017. Vol. 11, no 8, p. 623-632
Keywords [en]
City logistics, mobile depot, sustainability, transitions, urban freight distribution, Electron transitions, Freight transportation, Iterative methods, Sustainable development, Trucks, Vehicles, Distribution vehicles, Historical transition, Multimodal transport, Sustainable freight distribution, Transport operators, Traffic congestion
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-30804DOI: 10.1080/15568318.2017.1294717Scopus ID: 2-s2.0-85018955064OAI: oai:DiVA.org:ri-30804DiVA, id: diva2:1138874
Available from: 2017-09-06 Created: 2017-09-06 Last updated: 2017-09-06Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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