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Modelling preferences for smart modes and services: A case study in Lisbon

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  • Choudhury, Charisma F.
  • Yang, Lang
  • de Abreu e Silva, João
  • Ben-Akiva, Moshe

Abstract

In this research, we investigate the acceptability of three new and emerging smart mobility options and quantify the associated willingness-to-pay values in the context of Lisbon using a comprehensive stated preferences (SP) survey. The smart mobility options include shared taxi, one-way car rental, and a novel combination of park-and-ride and school bus facilities. While previous surveys on smart mobility options had investigated limited number of alternatives in isolation, the SP survey used in this research presents the smart mobility options alongside the existing options and their traditional variants like congestion pricing and improved public transport systems. Further, the choice of mode, departure time and occupancy are investigated in a multidimensional framework. This resulted a large choice set (with 9 modes, 5 departure times, and 2 occupancy levels leading to 135 alternatives in total) and required a novel survey design.

Suggested Citation

  • Choudhury, Charisma F. & Yang, Lang & de Abreu e Silva, João & Ben-Akiva, Moshe, 2018. "Modelling preferences for smart modes and services: A case study in Lisbon," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 15-31.
    • Handle: RePEc:eee:transa:v:115:y:2018:i:c:p:15-31
    DOI: 10.1016/j.tra.2017.07.005
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    1. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    2. Richard Paap & Philip Hans Franses, 2000. "A dynamic multinomial probit model for brand choice with different long-run and short-run effects of marketing-mix variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 717-744.
    3. Schaefers, Tobias, 2013. "Exploring carsharing usage motives: A hierarchical means-end chain analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 69-77.
    4. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
    5. Carpintero, Samuel & Gomez-Ibañez, Jose A., 2011. "Mexico's private toll road program reconsidered," Transport Policy, Elsevier, vol. 18(6), pages 848-855, November.
    6. Bliemer, Michiel C.J. & Rose, John M. & Hensher, David A., 2009. "Efficient stated choice experiments for estimating nested logit models," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 19-35, January.
    7. Prud'homme, Rémy & Koning, Martin & Lenormand, Luc & Fehr, Anne, 2012. "Public transport congestion costs: The case of the Paris subway," Transport Policy, Elsevier, vol. 21(C), pages 101-109.
    8. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, October.
    9. Bhat, Chandra R. & Guo, Jessica Y., 2007. "A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 506-526, June.
    10. Piet Bovy & Sascha Hoogendoorn-Lanser, 2005. "Modelling route choice behaviour in multi-modal transport networks," Transportation, Springer, vol. 32(4), pages 341-368, July.
    11. de Jong, Gerard & Daly, Andrew & Pieters, Marits & Vellay, Carine & Bradley, Mark & Hofman, Frank, 2003. "A model for time of day and mode choice using error components logit," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(3), pages 245-268, May.
    12. McAlister, Leigh, 1979. "Choosing Multiple Items from a Product Class," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 6(3), pages 213-224, December.
    13. Correia, Gonçalo & Viegas, José Manuel, 2011. "Carpooling and carpool clubs: Clarifying concepts and assessing value enhancement possibilities through a Stated Preference web survey in Lisbon, Portugal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 81-90, February.
    14. Guevara, C. Angelo & Ben-Akiva, Moshe E., 2013. "Sampling of alternatives in Multivariate Extreme Value (MEV) models," Transportation Research Part B: Methodological, Elsevier, vol. 48(C), pages 31-52.
    15. Hensher, David A. & Stopher, Peter R. & Louviere, Jordan J., 2001. "An exploratory analysis of the effect of numbers of choice sets in designed choice experiments: an airline choice application," Journal of Air Transport Management, Elsevier, vol. 7(6), pages 373-379.
    16. Swait, Joffre & Adamowicz, Wiktor L., 1996. "The Effect of Choice Environment and Task Demands on Consumer Behavior: Discriminating Between Contribution and Confusion," Staff Paper Series 24091, University of Alberta, Department of Resource Economics and Environmental Sociology.
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    2. Ikezoe, Keigo & Kiriyama, Eriko & Fujimura, Shuzo, 2020. "Car-sharing intention analysis in Japan by comparing the utility of car ownership for car-owners and non-car owners," Transport Policy, Elsevier, vol. 96(C), pages 1-14.
    3. Wilson, Anna & Mason, Ben, 2020. "The coming disruption – The rise of mobility as a service and the implications for government," Research in Transportation Economics, Elsevier, vol. 83(C).
    4. Tanja Manders & Elke Klaassen, 2019. "Unpacking the Smart Mobility Concept in the Dutch Context Based on a Text Mining Approach," Sustainability, MDPI, vol. 11(23), pages 1-24, November.
    5. Prateek Bansal & Yang Liu & Ricardo Daziano & Samitha Samaranayake, 2019. "Can Mobility-on-Demand services do better after discerning reliability preferences of riders?," Papers 1904.07987, arXiv.org.
    6. Nejc Geržinič & Niels Oort & Sascha Hoogendoorn-Lanser & Oded Cats & Serge Hoogendoorn, 2023. "Potential of on-demand services for urban travel," Transportation, Springer, vol. 50(4), pages 1289-1321, August.

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