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An investigation of route-choice in integrated public transport networks by risk-averse users

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  • Anthony Downward

    (University of Auckland)

  • Subeh Chowdhury

    (University of Auckland)

  • Chapa Jayalath

    (University of Auckland)

Abstract

Globally, transport agencies are implementing integrated public transport systems to increase ridership. Transfers are a key component of such integrated systems; they facilitate connectivity among modes, allowing the system to function in unison. It is well known that transfers can cause users to feel anxious, due to the possibility of missed connections. The public transport network in Auckland, New Zealand, is undergoing a transformation into an integrated system, which means more routes with transfers are replacing direct routes. This study examines the route choice of public transport users when faced with multiple routes involving transfers. Four sub-models are developed to create the Route Choice Model. One of the contributions of the present study is the development of the Risk-Aversion sub-model, which provides a straight-forward representation of users’ risk profiles for route-choice associated with transfers. These four sub-models are applied to a proposed integrated public transport network to determine the ridership of the new routes involving transfers. The socio-economic characteristics included in this study are gender and age. The findings show that females are more risk-averse than male users, and that users aged 40 or over are more risk-averse than those under 40. Overall, users who are more risk-averse prefer the transfer options if the service is reliable, and the transfer waiting time is relatively short in proportion to the overall journey time. Future research is encouraged to investigate the effects of other socio-economic characteristics on users’ decisions to make transfers, using the findings to make further improvements to the network.

Suggested Citation

  • Anthony Downward & Subeh Chowdhury & Chapa Jayalath, 2019. "An investigation of route-choice in integrated public transport networks by risk-averse users," Public Transport, Springer, vol. 11(1), pages 89-110, June.
  • Handle: RePEc:spr:pubtra:v:11:y:2019:i:1:d:10.1007_s12469-019-00194-0
    DOI: 10.1007/s12469-019-00194-0
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    References listed on IDEAS

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    1. 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.
    2. José Vassallo & Floridea Ciommo & Álvaro García, 2012. "Intermodal exchange stations in the city of Madrid," Transportation, Springer, vol. 39(5), pages 975-995, September.
    3. Vande Walle, Stefaan & Steenberghen, Therese, 2006. "Space and time related determinants of public transport use in trip chains," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 151-162, February.
    4. Downward, Anthony & Young, David & Zakeri, Golbon, 2016. "Electricity retail contracting under risk-aversion," European Journal of Operational Research, Elsevier, vol. 251(3), pages 846-859.
    5. Yung-Hsiang Cheng, 2010. "Exploring passenger anxiety associated with train travel," Transportation, Springer, vol. 37(6), pages 875-896, November.
    6. Hidalgo, Dario & King, Robin, 2014. "Public transport integration in Bogotá and Cali, Colombia – Facing transition from semi-deregulated services to full regulation citywide," Research in Transportation Economics, Elsevier, vol. 48(C), pages 166-175.
    7. Diana Roman & Kenneth Darby-Dowman & Gautam Mitra, 2007. "Mean-risk models using two risk measures: a multi-objective approach," Quantitative Finance, Taylor & Francis Journals, vol. 7(4), pages 443-458.
    8. Chowdhury, Subeh & Ceder, Avishai (Avi) & Schwalger, Bradley, 2015. "The effects of travel time and cost savings on commuters’ decision to travel on public transport routes involving transfers," Journal of Transport Geography, Elsevier, vol. 43(C), pages 151-159.
    9. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    10. 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.
    11. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
    12. Guo, Zhan & Wilson, Nigel H.M., 2011. "Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 91-104, February.
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