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Subjective valuation of the transit transfer experience: The case of Santiago de Chile

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  • Navarrete, Francisca Javiera
  • Ortúzar, Juan de Dios

Abstract

The still controversial Transantiago public transport system, in Santiago de Chile, has a topological structure that often requires its users to make one or more transfers to reach their destinations. This was rarely necessary in the previous non-integrated system and users reacted with unexpected displeasure when it started even though fare integration in the new system means that transferring involved no extra costs. This study investigates users' subjective valuations of the transfer experience and its associated elements (walking and waiting times), analysing how these vary for different types of transfer combinations. In particular, we determine the relative preferences the following transfer combinations: metro–metro, metro–bus, bus–metro and bus–bus, with emphasis on the importance of various physical characteristics such as information availability, the existence of station escalators and the ability to board the first available bus or train. We also estimate the relative valuation of the different time component values (walking, waiting and in-vehicle) of trips including a transfer, and also derived the penalties users assign to trips that require transferring at intermodal stations during the morning peak hour. The trip time components most heavily penalised were the walking time involved in transferring and the final walking time to the user's destination.

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  • Navarrete, Francisca Javiera & Ortúzar, Juan de Dios, 2013. "Subjective valuation of the transit transfer experience: The case of Santiago de Chile," Transport Policy, Elsevier, vol. 25(C), pages 138-147.
  • Handle: RePEc:eee:trapol:v:25:y:2013:i:c:p:138-147
    DOI: 10.1016/j.tranpol.2012.10.006
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    References listed on IDEAS

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    9. Menegaki, Angeliki, N. & Olsen, Søren Bøye & Tsagarakis, Konstantinos P., 2016. "Towards a common standard – A reporting checklist for web-based stated preference valuation surveys and a critique for mode surveys," Journal of choice modelling, Elsevier, vol. 18(C), pages 18-50.
    10. Nadeem Ul Haque & Faheem Jehangir Khan (ed.), 2022. "RASTA Local Research, Local Solutions: Urban Development, Volume II," PIDE Books, Pakistan Institute of Development Economics, number 2022:10.
    11. Muñoz, Juan Carlos & Batarce, Marco & Hidalgo, Dario, 2014. "Transantiago, five years after its launch," Research in Transportation Economics, Elsevier, vol. 48(C), pages 184-193.
    12. 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.
    13. Tirachini, Alejandro & Antoniou, Constantinos, 2020. "The economics of automated public transport: Effects on operator cost, travel time, fare and subsidy," Economics of Transportation, Elsevier, vol. 21(C).
    14. Jara-Diaz, Sergio & Monzon, Andres & Cascajo, Rocio & Garcia-Martinez, Andres, 2022. "An international time equivalency of the pure transfer penalty in urban transit trips: Closing the gap," Transport Policy, Elsevier, vol. 125(C), pages 48-55.
    15. Espino, Raquel & Román, Concepción, 2020. "Valuation of transfer for bus users: The case of Gran Canaria," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 131-144.
    16. Xiaolin Gong & Graham Currie & Zhiyuan Liu & Xiucheng Guo, 2018. "A disaggregate study of urban rail transit feeder transfer penalties including weather effects," Transportation, Springer, vol. 45(5), pages 1319-1349, September.
    17. Schakenbos, Rik & Paix, Lissy La & Nijenstein, Sandra & Geurs, Karst T., 2016. "Valuation of a transfer in a multimodal public transport trip," Transport Policy, Elsevier, vol. 46(C), pages 72-81.
    18. Yuan, Yalong & Yang, Min & Feng, Tao & Ma, Yafeng & Ren, Yifeng & Ruan, Xinpei, 2022. "Heterogeneity in the transfer time of air-rail intermodal passengers based on ticket booking data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 533-552.
    19. Pan Wu & Jinlong Li & Yuzhuang Pian & Xiaochen Li & Zilin Huang & Lunhui Xu & Guilin Li & Ruonan Li, 2022. "How Determinants Affect Transfer Ridership between Metro and Bus Systems: A Multivariate Generalized Poisson Regression Analysis Method," Sustainability, MDPI, vol. 14(15), pages 1-31, August.
    20. Nielsen, Otto Anker & Eltved, Morten & Anderson, Marie Karen & Prato, Carlo Giacomo, 2021. "Relevance of detailed transfer attributes in large-scale multimodal route choice models for metropolitan public transport passengers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 76-92.
    21. 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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