Abstract

Several cities around the world are facing mobility related problems such as traffic congestion and air pollution. Although limited individually, the combination of bicycle and transit offers speed and accessibility that can compete with automobiles by complementing each other's characteristics. Recognising the potential benefits with regard to accessibility, health, and sustainability, several studies have investigated policies that encourage integration of these modes. However, the actual users and trips of the combined bicycle and transit mode have not been extensively studied empirically. This study addresses this gap by (i) reviewing empirical findings on related modes, (ii) deriving user and trip characteristics of the combined bicycle and transit mode in the Netherlands, and (iii) applying latent class cluster analysis to discover prototypical users based on their socio-demographic attributes. Most trips by this combined mode are found to be for relatively long commutes where transit is in the form of trains, and bicycle and walking are access and egress modes respectively. Furthermore, seven user groups are identified and their travel behaviour is discussed. Transport authorities may use these empirical results to further streamline integration of bicycle and transit for its largest users as well as to tailor policies to attract more travellers.


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The different versions of the original document can be found in:

http://resolver.tudelft.nl/uuid:de62f27a-e849-4650-8a33-3f5b355bc35f
https://api.elsevier.com/content/article/PII:S0739885917302160?httpAccept=text/plain,
http://dx.doi.org/10.1016/j.retrec.2018.07.017 under the license https://www.elsevier.com/tdm/userlicense/1.0/
https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3Ade62f27a-e849-4650-8a33-3f5b355bc35f,
https://ideas.repec.org/a/eee/retrec/v69y2018icp68-76.html,
https://ses.library.usyd.edu.au/handle/2123/17395,
https://www.worldtransitresearch.info/research/6986,
https://ses.library.usyd.edu.au/bitstream/2123/17395/1/Thredbo_15_Thredbo_15_Paper_56.pdf,
https://academic.microsoft.com/#/detail/2766629426
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Published on 01/01/2018

Volume 2018, 2018
DOI: 10.1016/j.retrec.2018.07.017
Licence: Other

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