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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-18749
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dc.contributor.authorHoerler, Raphael-
dc.contributor.authorHoppe, Merja-
dc.date.accessioned2019-11-20T10:26:28Z-
dc.date.available2019-11-20T10:26:28Z-
dc.date.issued2019-11-13-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/18749-
dc.description.abstractThe transportation sector is experiencing increasing pressure from emerging megatrends. Digitalisation, individualisation and the aging of society are leading to increasing traffic, mobility demand and capacity shortages. At the same time, new mobility concepts and offers are under development. In this highly dynamic environment, decision-makers and transport planners are under pressure to react. As society requests new and more comfortable mobility services, car-as well as ridesharing are seen as a part of the solution. Tailor-made mobility services have the potential to meet customer needs and increase the acceptance and use of public transport. In order to better understand the needs, we propose a classification of the commuter society into easily distinguishable groups based on an extensive commuter survey conducted in the city of Basel, Switzerland. This classification should enable more precisely targeted policy measures that save costs and increase adoption of sustainable ways of commuting. Key parameters influencing users’ openness towards car- and ridesharing are derived through an ordinal logistic regression analysis. Together with the classification based on a cluster analysis, they serve as starting points for a sustainable transformation of the commuter environment. The paper further places the findings in context by discussing how recent trends in mobility could support acceptance of new mobility concepts. Successfully transforming today’s commuting realm requires a coordinated effort from both policy-makers and society itself, integrating new and innovative mobility solutions in a public–private form of cooperation.de_CH
dc.format.extent19de_CH
dc.language.isoende_CH
dc.publisherZHAW Zürcher Hochschule für Angewandte Wissenschaftende_CH
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/de_CH
dc.subjectSustainable mobilityde_CH
dc.subjectCommutingde_CH
dc.subjectMobility behaviourde_CH
dc.subjectCarsharingde_CH
dc.subjectPolicy measuresde_CH
dc.subjectTransformationde_CH
dc.subject.ddc380: Verkehrde_CH
dc.titleCommuter segmentation and openness to sharing services : a Swiss case studyde_CH
dc.typeWorking Paper – Gutachten – Studiede_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Nachhaltige Entwicklung (INE)de_CH
zhaw.publisher.placeWinterthurde_CH
dc.identifier.doi10.21256/zhaw-18749-
zhaw.funding.euNot specifiedde_CH
zhaw.originated.zhawYesde_CH
zhaw.webfeedVerkehrs-, Sicherheits- und Umweltpsychologiede_CH
zhaw.funding.zhawSmart Commutingde_CH
zhaw.author.additionalNode_CH
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Hoerler, R., & Hoppe, M. (2019). Commuter segmentation and openness to sharing services : a Swiss case study. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-18749
Hoerler, R. and Hoppe, M. (2019) Commuter segmentation and openness to sharing services : a Swiss case study. Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Available at: https://doi.org/10.21256/zhaw-18749.
R. Hoerler and M. Hoppe, “Commuter segmentation and openness to sharing services : a Swiss case study,” ZHAW Zürcher Hochschule für Angewandte Wissenschaften, Winterthur, Nov. 2019. doi: 10.21256/zhaw-18749.
HOERLER, Raphael und Merja HOPPE, 2019. Commuter segmentation and openness to sharing services : a Swiss case study. Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften
Hoerler, Raphael, and Merja Hoppe. 2019. “Commuter Segmentation and Openness to Sharing Services : A Swiss Case Study.” Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-18749.
Hoerler, Raphael, and Merja Hoppe. Commuter Segmentation and Openness to Sharing Services : A Swiss Case Study. ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 13 Nov. 2019, https://doi.org/10.21256/zhaw-18749.


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