Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-26221
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dc.contributor.authorScherrer, Maike-
dc.contributor.authorSteiner, Albert-
dc.contributor.authorRühlin, Viola-
dc.date.accessioned2022-11-25T15:39:42Z-
dc.date.available2022-11-25T15:39:42Z-
dc.date.issued2023-
dc.identifier.issn2352-1465de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/26221-
dc.description.abstractSustainable urban logistics has become challenging over the course of the last decades due to logistics sprawl and increased demands of goods in urban areas. To overcome this problem, a fine-grained network of decoupling hubs, separating suppliers and customers in a spacial and timely manner, are needed. The paper at hand introduces a model of how to calculate optimal decoupling hub locations within urban areas with the goal that inhabitants walk or cycle to the next decoupling hub and do not take a motorised vehicle. The study at hand uses the northern district of Zurich as unit of analysis and shows that by using the developed model, 80% of the inhabitants need to walk less than 250 metres to their next decoupling hub, which is within the radius of 100 metres to the next public transport stop. This supports the integration of picking up or dropping off deliveries while commuting.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/de_CH
dc.subjectUrban logisticsde_CH
dc.subjectHub decouplingde_CH
dc.subject.ddc658.7: Material- und Versorgungsmanagementde_CH
dc.titleGreening urban logistics : introducing a method to evaluate optimised decoupling hub locationsde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
zhaw.organisationalunitInstitut für Nachhaltige Entwicklung (INE)de_CH
dc.identifier.doi10.1016/j.trpro.2023.11.441de_CH
dc.identifier.doi10.21256/zhaw-26221-
zhaw.conference.details9th Transport Research Arena (TRA), Lisbon, Portugal, 14-17 November 2022de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end579de_CH
zhaw.pages.start572de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume72de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsTransportation Research Procediade_CH
zhaw.webfeedDigital Mobilityde_CH
zhaw.funding.zhawSmart UMH: Smart urban multihub concept: Sustainable and liveable cities with low logistics visibilityde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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Scherrer, M., Steiner, A., & Rühlin, V. (2023). Greening urban logistics : introducing a method to evaluate optimised decoupling hub locations [Conference paper]. Transportation Research Procedia, 72, 572–579. https://doi.org/10.1016/j.trpro.2023.11.441
Scherrer, M., Steiner, A. and Rühlin, V. (2023) ‘Greening urban logistics : introducing a method to evaluate optimised decoupling hub locations’, in Transportation Research Procedia. Elsevier, pp. 572–579. Available at: https://doi.org/10.1016/j.trpro.2023.11.441.
M. Scherrer, A. Steiner, and V. Rühlin, “Greening urban logistics : introducing a method to evaluate optimised decoupling hub locations,” in Transportation Research Procedia, 2023, vol. 72, pp. 572–579. doi: 10.1016/j.trpro.2023.11.441.
SCHERRER, Maike, Albert STEINER und Viola RÜHLIN, 2023. Greening urban logistics : introducing a method to evaluate optimised decoupling hub locations. In: Transportation Research Procedia. Conference paper. Elsevier. 2023. S. 572–579
Scherrer, Maike, Albert Steiner, and Viola Rühlin. 2023. “Greening Urban Logistics : Introducing a Method to Evaluate Optimised Decoupling Hub Locations.” Conference paper. In Transportation Research Procedia, 72:572–79. Elsevier. https://doi.org/10.1016/j.trpro.2023.11.441.
Scherrer, Maike, et al. “Greening Urban Logistics : Introducing a Method to Evaluate Optimised Decoupling Hub Locations.” Transportation Research Procedia, vol. 72, Elsevier, 2023, pp. 572–79, https://doi.org/10.1016/j.trpro.2023.11.441.


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