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Car sharing demand estimation and urban transport demand modelling using stated preference techniques

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  • Catalano, Mario
  • Lo Casto, Barbara
  • Migliore, Marco

Abstract

The research deals with the use of the stated preference technique (SP) and transport demand modelling to analyse travel mode choice behaviour for commuting urban trips in Palermo, Italy. The principal aim of the study was the calibration of a demand model to forecast the modal split of the urban transport demand, allowing for the possibility of using innovative transport systems like car sharing and car pooling. In order to estimate the demand model parameters, a specific survey was carried out inside the urban area of Palermo. The survey focused on the morning rush hour and involved mainly employees, self-employed workers and students (about 500 respondents) whose final destination was located within the historical centre of the city. The questionnaires contained a stated preference experiment regarding the choice among four different transport alternatives: private car, car pooling, car sharing and public transport. A random utility model was developed by using data resulting from the SP experiment. We found out that, for the specific case of Palermo, the multinomial logit proved to be the best urban transport demand model, even if the choice set contained three car alternatives. We identified as main attributes affecting mode choice behaviour the one-way trip travel time and cost, the parking time, the number of cars available to each household member, the alternative specific attributes for the car option and the car sharing one. The model was applied to analyse the potential demand for car sharing and car pooling in Palermo, under a future scenario characterized by several policy actions for limiting private transport use. The analysis highlighted that the car club market share could increase up to the 10% level, while car pooling could slightly rise.

Suggested Citation

  • Catalano, Mario & Lo Casto, Barbara & Migliore, Marco, 2008. "Car sharing demand estimation and urban transport demand modelling using stated preference techniques," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 40, pages 33-50.
    • Handle: RePEc:sot:journl:y:2008:i:40:p:33-50
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    References listed on IDEAS

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    Cited by:

    1. Philipp Ströhle & Christoph M. Flath & Johannes Gärttner, 2019. "Leveraging Customer Flexibility for Car-Sharing Fleet Optimization," Service Science, INFORMS, vol. 53(1), pages 42-61, February.
    2. Qi Te & Chen Lianghua, 2020. "Carsharing: mitigation strategy for transport-related carbon footprint," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(5), pages 791-818, May.
    3. Sisi Jian & David Rey & Vinayak Dixit, 2019. "An Integrated Supply-Demand Approach to Solving Optimal Relocations in Station-Based Carsharing Systems," Networks and Spatial Economics, Springer, vol. 19(2), pages 611-632, June.
    4. Jian, Sisi & Rashidi, Taha Hossein & Dixit, Vinayak, 2017. "An analysis of carsharing vehicle choice and utilization patterns using multiple discrete-continuous extreme value (MDCEV) models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 362-376.
    5. Qian Duan & Xin Ye & Jian Li & Ke Wang, 2020. "Empirical Modeling Analysis of Potential Commute Demand for Carsharing in Shanghai, China," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    6. Romeo Danielis & Lucia Rotaris & Andrea Rusich & Eva Valeri, 2015. "The potential demand for carsharing from university students: an Italian case study," Working Papers 15_1, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    7. Romeo Danielis & Lucia Rotaris & Andrea Rusich & Eva Valeri, 2015. "The potential demand for carsharing from university students: an Italian case study," Working Papers 1501, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    8. Cen Zhang & Jan-Dirk Schmöcker & Martin Trépanier, 2022. "Latent stage model for carsharing usage frequency estimation with Montréal case study," Transportation, Springer, vol. 49(1), pages 185-211, February.
    9. Romeo Danielis, Lucia Rotaris, Eva Valeri, 2012. "Carsharing for tourists," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 66(2), pages 103-119.
    10. Carroll, Páraic & Caulfield, Brian & Ahern, Aoife, 2017. "Examining the potential for car-shedding in the Greater Dublin Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 440-452.
    11. Golalikhani, Masoud & Oliveira, Beatriz Brito & Carravilla, Maria Antónia & Oliveira, José Fernando & Antunes, António Pais, 2021. "Carsharing: A review of academic literature and business practices toward an integrated decision-support framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    12. Jian, Sisi & Liu, Wei & Wang, Xiaolei & Yang, Hai & Waller, S. Travis, 2020. "On integrating carsharing and parking sharing services," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 19-44.
    13. Cartenì, Armando & Cascetta, Ennio & de Luca, Stefano, 2016. "A random utility model for park & carsharing services and the pure preference for electric vehicles," Transport Policy, Elsevier, vol. 48(C), pages 49-59.
    14. Papu Carrone, Andrea & Hoening, Valerie Maria & Jensen, Anders Fjendbo & Mabit, Stefan Eriksen & Rich, Jeppe, 2020. "Understanding car sharing preferences and mode substitution patterns: A stated preference experiment," Transport Policy, Elsevier, vol. 98(C), pages 139-147.
    15. Varotto, Silvia F. & Glerum, Aurélie & Stathopoulos, Amanda & Bierlaire, Michel & Longo, Giovanni, 2017. "Mitigating the impact of errors in travel time reporting on mode choice modelling," Journal of Transport Geography, Elsevier, vol. 62(C), pages 236-246.
    16. Jiyeon Jung & Yoonmo Koo, 2018. "Analyzing the Effects of Car Sharing Services on the Reduction of Greenhouse Gas (GHG) Emissions," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    17. Ivana Semanjski & Sidharta Gautama, 2016. "Forecasting the State of Health of Electric Vehicle Batteries to Evaluate the Viability of Car Sharing Practices," Energies, MDPI, vol. 9(12), pages 1-17, December.
    18. Zhang, Yu & Li, Leiming, 2022. "Research on travelers’ transportation mode choice between carsharing and private cars based on the logit dynamic evolutionary game model," Economics of Transportation, Elsevier, vol. 29(C).
    19. Weibo Li & Maria Kamargianni, 2020. "Steering short-term demand for car-sharing: a mode choice and policy impact analysis by trip distance," Transportation, Springer, vol. 47(5), pages 2233-2265, October.
    20. Bhatta, Bharat P. & Larsen, Odd I., 2011. "Errors in variables in multinomial choice modeling: A simulation study applied to a multinomial logit model of travel mode choice," Transport Policy, Elsevier, vol. 18(2), pages 326-335, March.
    21. Zhou, Fan & Zheng, Zuduo & Whitehead, Jake & Washington, Simon & Perrons, Robert K. & Page, Lionel, 2020. "Preference heterogeneity in mode choice for car-sharing and shared automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 633-650.
    22. Qi Te & Chen Lianghua, 0. "Carsharing: mitigation strategy for transport-related carbon footprint," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(5), pages 791-818.
    23. Beibei Hu & Yue Sun & Huijun Sun & Xianlei Dong, 2020. "A Contrastive Study on Travel Costs of Car-Sharing and Taxis Based on GPS Trajectory Data," IJERPH, MDPI, vol. 17(24), pages 1-28, December.

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