IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v51y2015icp104-114.html
   My bibliography  Save this article

Enabling sustainable transportation: The model-based determination of business/operating areas of free-floating carsharing systems

Author

Listed:
  • Seign, René
  • Schüßler, Maximilian
  • Bogenberger, Klaus

Abstract

Free-floating carsharing systems with (and without) electric vehicles are emerging and there is limited knowledge where such concepts will succeed, regardless of their environmental benefits. Within this knowledge gap, the definition of the business/operating area is a key aspect. Inside this area a carsharing vehicle can be picked-up and dropped-off everywhere at any time. This research develops a model that helps to determine business areas a-priori by predicting inner-city booking hot-spots. The approach is based on modeling success factors as independent variables, namely population density, housing rent, city center distance, and hotel/restaurant density. With the help of these variables predictions for geographic zones in cities are made that prove to be helpful for designing operating areas for free-floating carsharing systems – a key challenge for providers' success when approaching new cities.

Suggested Citation

  • Seign, René & Schüßler, Maximilian & Bogenberger, Klaus, 2015. "Enabling sustainable transportation: The model-based determination of business/operating areas of free-floating carsharing systems," Research in Transportation Economics, Elsevier, vol. 51(C), pages 104-114.
  • Handle: RePEc:eee:retrec:v:51:y:2015:i:c:p:104-114
    DOI: 10.1016/j.retrec.2015.10.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885915000566
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.retrec.2015.10.012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Steininger, Karl & Vogl, Caroline & Zettl, Ralph, 1996. "Car-sharing organizations : The size of the market segment and revealed change in mobility behavior," Transport Policy, Elsevier, vol. 3(4), pages 177-185, October.
    2. Faiers, Adam & Cook, Matt & Neame, Charles, 2007. "Towards a contemporary approach for understanding consumer behaviour in the context of domestic energy use," Energy Policy, Elsevier, vol. 35(8), pages 4381-4390, August.
    3. repec:cdl:itsrrp:qt6dw9d79z is not listed on IDEAS
    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. Guo, Peng & Chen, Zhihua & Yang, Yang & Miao, Rui, 2024. "A multistage simulation-optimization-integrated methodology framework for user-oriented electric vehicle carsharing reallocation under dynamic price subsidy," Energy, Elsevier, vol. 290(C).
    2. 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).
    3. Carrone, Andrea Papu & Rich, Jeppe & Watling, David, 2024. "Analysis of car sharing operation area performance: An idle time prediction approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
    4. Silvia Andrés González-Moralejo, 2024. "From COVID-19 to the war in Ukraine: evidence of a Schumpeterian transformation of food logistics," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 12(1), pages 1-12, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ozaki, Ritsuko & Sevastyanova, Katerina, 2011. "Going hybrid: An analysis of consumer purchase motivations," Energy Policy, Elsevier, vol. 39(5), pages 2217-2227, May.
    2. Virkki-Hatakka, Terhi & Luoranen, Mika & Ikävalko, Markku, 2013. "Differences in perception: How the experts look at energy efficiency (findings from a Finnish survey)," Energy Policy, Elsevier, vol. 60(C), pages 499-508.
    3. Yan Zhou & Sangmoon Park, 2020. "The Regional Determinants of the New Venture Formation in China’s Car-Sharing Economy," Sustainability, MDPI, vol. 13(1), pages 1-22, December.
    4. Girod, Bastien & de Haan, Peter, 2009. "GHG reduction potential of changes in consumption patterns and higher quality levels: Evidence from Swiss household consumption survey," Energy Policy, Elsevier, vol. 37(12), pages 5650-5661, December.
    5. Pelenur, Marcos J. & Cruickshank, Heather J., 2012. "Closing the Energy Efficiency Gap: A study linking demographics with barriers to adopting energy efficiency measures in the home," Energy, Elsevier, vol. 47(1), pages 348-357.
    6. Sorrell, Steve, 2015. "Reducing energy demand: A review of issues, challenges and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 74-82.
    7. Aini, M.S. & Chan, S.C. & Syuhaily, O., 2013. "Predictors of technical adoption and behavioural change to transport energy-saving measures in response to climate change," Energy Policy, Elsevier, vol. 61(C), pages 1055-1062.
    8. Cantelmo, Guido & Amini, Roja Ezzati & Monteiro, Mayara Moraes & Frenkel, Amnon & Lerner, Ofer & Tavory, Sharon Shoshany & Galtzur, Ayelet & Kamargianni, Maria & Shiftan, Yoram & Behrischi, Christiane, 2022. "Aligning users’ and stakeholders’ needs: How incentives can reshape the carsharing market," Transport Policy, Elsevier, vol. 126(C), pages 306-326.
    9. Santos, Georgina & Behrendt, Hannah & Teytelboym, Alexander, 2010. "Part II: Policy instruments for sustainable road transport," Research in Transportation Economics, Elsevier, vol. 28(1), pages 46-91.
    10. Becker, Henrik & Ciari, Francesco & Axhausen, Kay W., 2017. "Comparing car-sharing schemes in Switzerland: User groups and usage patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 17-29.
    11. Tal, Gil & Cohen-Blankshtain, Galit, 2011. "Understanding the role of the forecast-maker in overestimation forecasts of policy impacts: The case of Travel Demand Management policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(5), pages 389-400, June.
    12. 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.
    13. Claudia Burlando, 2012. "A Comparison of Car Sharing Organizational Models: An Analysis of Feasible Efficiency Increase through a Centralized Model," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 53-64, May.
    14. de Luca, Stefano & Di Pace, Roberta, 2015. "Modelling users’ behaviour in inter-urban carsharing program: A stated preference approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 59-76.
    15. Michelsen, Carl Christian & Madlener, Reinhard, 2013. "Motivational factors influencing the homeowners’ decisions between residential heating systems: An empirical analysis for Germany," Energy Policy, Elsevier, vol. 57(C), pages 221-233.
    16. Prieto, Marc & Baltas, George & Stan, Valentina, 2017. "Car sharing adoption intention in urban areas: What are the key sociodemographic drivers?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 218-227.
    17. McMichael, Megan & Shipworth, David, 2013. "The value of social networks in the diffusion of energy-efficiency innovations in UK households," Energy Policy, Elsevier, vol. 53(C), pages 159-168.
    18. Perri, Cecilia & Giglio, Carlo & Corvello, Vincenzo, 2020. "Smart users for smart technologies: Investigating the intention to adopt smart energy consumption behaviors," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    19. Hartmann, Patrick & Apaolaza, Vanessa & D'Souza, Clare & Echebarria, Carmen & Barrutia, Jose M., 2013. "Nuclear power threats, public opposition and green electricity adoption: Effects of threat belief appraisal and fear arousal," Energy Policy, Elsevier, vol. 62(C), pages 1366-1376.
    20. Muhoza, Cassilde & Johnson, Oliver W., 2018. "Exploring household energy transitions in rural Zambia from the user perspective," Energy Policy, Elsevier, vol. 121(C), pages 25-34.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • M16 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - International Business Administration
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

    Statistics

    Access and download statistics

    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:eee:retrec:v:51:y:2015:i:c:p:104-114. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.