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The desired quality of integrated multimodal travel information in public transport: Customer needs for time and effort savings


  • Grotenhuis, Jan-Willem
  • Wiegmans, Bart W.
  • Rietveld, Piet


Travel information is one of the factors that contribute to the quality of public transport. In particular, integrated multimodal travel information (IMTI) is expected to affect customers' modal choice. The objective of this research is to identify customers' desired quality of IMTI provision in public transport. Customers' desired IMTI quality can vary throughout the pre-trip, wayside and on-board stages of a journey. The main determinants are time savings (travel and search time) and effort savings (physical, cognitive, and affective effort). In a sample of Dutch travellers with a substantial share of young persons, the pre-trip stage turns out to be the favourite stage to collect IMTI when planning multimodal travel; desired IMTI types in this stage are used to plan the part of the journey that is made by public transport. Wayside IMTI is most desired when it helps the traveller to catch the right vehicle en route. On-board travellers are most concerned about timely arrival at interchanges in order to catch connecting modes. In the whole travel process, travel time is the most important saving. Apart from that, pre-trip search time savings are also desired, while en route affective effort is more important than cognitive effort.

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  • Grotenhuis, Jan-Willem & Wiegmans, Bart W. & Rietveld, Piet, 2007. "The desired quality of integrated multimodal travel information in public transport: Customer needs for time and effort savings," Transport Policy, Elsevier, vol. 14(1), pages 27-38, January.
  • Handle: RePEc:eee:trapol:v:14:y:2007:i:1:p:27-38

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    References listed on IDEAS

    1. Hine, J. & Scott, J., 2000. "Seamless, accessible travel: users' views of the public transport journey and interchange," Transport Policy, Elsevier, vol. 7(3), pages 217-226, July.
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    2. Valentina Trozzi & Guido Gentile & Ioannis Kaparias & Michael Bell, 2015. "Effects of Countdown Displays in Public Transport Route Choice Under Severe Overcrowding," Networks and Spatial Economics, Springer, vol. 15(3), pages 823-842, September.
    3. repec:kap:transp:v:44:y:2017:i:5:d:10.1007_s11116-016-9688-4 is not listed on IDEAS
    4. Nelson, John D. & Mulley, Corinne, 2013. "The impact of the application of new technology on public transport service provision and the passenger experience: A focus on implementation in Australia," Research in Transportation Economics, Elsevier, vol. 39(1), pages 300-308.
    5. repec:eee:transa:v:104:y:2017:i:c:p:255-280 is not listed on IDEAS
    6. José Vassallo & Floridea Ciommo & Álvaro García, 2012. "Intermodal exchange stations in the city of Madrid," Transportation, Springer, vol. 39(5), pages 975-995, September.
    7. Wang, Bobin & Shao, Chunfu & Li, Juan & Weng, Jinxian & Ji, Xun, 2015. "Holiday travel behavior analysis and empirical study under integrated multimodal travel information service," Transport Policy, Elsevier, vol. 39(C), pages 21-36.
    8. Piet Rietveld, 2011. "The Economics of Information in Transport," Chapters,in: A Handbook of Transport Economics, chapter 24 Edward Elgar Publishing.
    9. repec:eee:transa:v:101:y:2017:i:c:p:111-132 is not listed on IDEAS
    10. repec:spr:elmark:v:27:y:2017:i:3:d:10.1007_s12525-017-0257-2 is not listed on IDEAS
    11. De Witte, Astrid & Hollevoet, Joachim & Dobruszkes, Frédéric & Hubert, Michel & Macharis, Cathy, 2013. "Linking modal choice to motility: A comprehensive review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 329-341.
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    13. Waara, Nina & Brundell-Freij, Karin & Risser, Ralf & Ståhl, Agneta, 2015. "Feasible provision of targeted traveler information in public transportation: Segmentation based on functional limitations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 164-173.
    14. Farag, Sendy & Lyons, Glenn, 2012. "To use or not to use? An empirical study of pre-trip public transport information for business and leisure trips and comparison with car travel," Transport Policy, Elsevier, vol. 20(C), pages 82-92.
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    16. Clauss, Thomas & Döppe, Sebastian, 2016. "Why do urban travelers select multimodal travel options: A repertory grid analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 93-116.
    17. Sendy Farag & Glenn Lyons, 2010. "Explaining public transport information use when a car is available: attitude theory empirically investigated," Transportation, Springer, vol. 37(6), pages 897-913, November.
    18. Ceder, Avishai & Chowdhury, Subeh & Taghipouran, Nima & Olsen, Jared, 2013. "Modelling public-transport users’ behaviour at connection point," Transport Policy, Elsevier, vol. 27(C), pages 112-122.
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    21. Spickermann, Alexander & Grienitz, Volker & von der Gracht, Heiko A., 2014. "Heading towards a multimodal city of the future?," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 201-221.
    22. Nesheli, Mahmood Mahmoodi & Ceder, Avishai (Avi) & Estines, Simon, 2016. "Public transport user's perception and decision assessment using tactic-based guidelines," Transport Policy, Elsevier, vol. 49(C), pages 125-136.
    23. Chowdhury, Subeh & Ceder, Avishai (Avi), 2016. "Users’ willingness to ride an integrated public-transport service: A literature review," Transport Policy, Elsevier, vol. 48(C), pages 183-195.

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