IDEAS home Printed from https://ideas.repec.org/a/sot/journl/y2008i40p33-50.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10077/6004
    Download Restriction: no

    References listed on IDEAS

    as
    1. Prettenthaler, Franz E. & Steininger, Karl W., 1999. "From ownership to service use lifestyle: the potential of car sharing," Ecological Economics, Elsevier, vol. 28(3), pages 443-453, March.
    2. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:eee:transa:v:103:y:2017:i:c:p:362-376 is not listed on IDEAS
    2. 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.
    3. 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.
    4. Romeo Danielis, Lucia Rotaris, Eva Valeri, 2012. "Carsharing for tourists," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - Italian Review of Economics, Demography and Statistics, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 66(2), pages 103-119.
    5. repec:eee:transa:v:106:y:2017:i:c:p:440-452 is not listed on IDEAS
    6. 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.
    7. repec:gam:jsusta:v:10:y:2018:i:2:p:539-:d:132331 is not listed on IDEAS
    8. Ivana Semanjski & Sidharta Gautama, 2016. "Forecasting the State of Health of Electric Vehicle Batteries to Evaluate the Viability of Car Sharing Practices," Energies, MDPI, Open Access Journal, vol. 9(12), pages 1-17, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sot:journl:y:2008:i:40:p:33-50. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Romeo Danielis). General contact details of provider: http://edirc.repec.org/data/xxxxxxx.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.