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dc.contributor.authorDe Ceunynck, Tim
dc.contributor.authorWijlhuizen, Gert Jan
dc.contributor.authorFyhri, Aslak
dc.contributor.authorGerike, Regine
dc.contributor.authorKöhler, Dagmar
dc.contributor.authorCiccone, Alice
dc.contributor.authorDijkstra, Atze
dc.contributor.authorDupont, Emmanuelle
dc.contributor.authorCools, Mario
dc.date.accessioned2023-06-13T09:00:25Z
dc.date.available2023-06-13T09:00:25Z
dc.date.created2023-01-23T12:30:18Z
dc.date.issued2023-01-20
dc.identifier.issn2071-1050
dc.identifier.urihttps://hdl.handle.net/11250/3071079
dc.descriptionThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.description.abstractTo ensure cities’ livability, a significant modal shift from car use towards more sustainable modes of transportation, such as walking and cycling, is required. To establish such a modal shift, a better understanding is needed of the psychological components that affect people’s likelihood of shifting to active transport modes. To this end, a behavioural survey was conducted among more than 2000 respondents across nine European cities in four countries. Using factor and cluster analysis, two groups of respondents are identified that have common determinants of their variations in intentions to shift to active transport modes, i.e., a “pro-cycling” cluster (55.6% of the respondents) and a “non-pro-cycling” cluster (44.4%). The findings highlight the intrinsically different nature of walking and cycling as transport modes, underlining the importance of distinguishing walking and cycling policies. The main obstacle to cycle more frequently is perceived traffic safety. Therefore, the main priority should be the improvement of traffic safety. The most important obstacle hindering more frequent walking is time. Hence, reducing travel time, for instance, by creating shortcuts for pedestrians and denser and more diversified urban areas will be an important strategy. Future research could extend this research to cities in other countries and regions. By repeating the survey periodically, changes in people’s motivations and perceived barriers can be analysed over time.en_US
dc.description.abstractBehavioural Profiling of Cycling and Walking in Nine European Citiesen_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleBehavioural Profiling of Cycling and Walking in Nine European Citiesen_US
dc.title.alternativeBehavioural Profiling of Cycling and Walking in Nine European Citiesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.rights.holder© 2022 by the authors. Licensee MDPI, Basel, Switzerland.en_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.3390/su15031996
dc.identifier.cristin2113174
dc.source.journalSustainabilityen_US
dc.source.volume15en_US
dc.source.issue3en_US
dc.source.pagenumber1-17en_US


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