Car-Sharing Subscription Preferences: The Case of Copenhagen, Munich, and Tel Aviv-Yafo

  • Mayara Moraes Monteiro (Speaker)
  • Lima Azevedo, C. M. (Other)
  • Maria Kamargianni (Other)
  • Yoram Shiftan (Other)
  • Ayelet Gal-Tzur (Other)
  • Sharon Shoshany Tavory (Other)
  • Constantinos Antoniou (Other)
  • Cantelmo, G. (Other)

Activity: Talks and presentationsConference presentations

Description

Car-sharing services have been providing short-term car access to their users, contributing to sustainable urban mobility and generating positive societal and often environmental impacts. As carsharing business models vary, it is important to understand what features drive the attraction and retention of its members in different contexts. For that, it is essential to examine individuals’ preferences for subscriptions to different business models and what they perceive as most relevant, as well as understand what could be attractive incentives. This study aims precisely to examine individuals’ preferences for the subscription of different car-sharing services in different cities. We designed a stated preference experiment and collected data from three different urban car-sharing settings, namely Copenhagen, Munich, and Tel Aviv-Yafo. Then a mixed logit model was estimated to uncover car-sharing plan subscription and incentives preferences. The results improve our understanding of how both the features of the car-sharing business model and the provision of incentives can maintain and attract members to the system. The achieved insights pave the road for the actual design of car-sharing business models and incentives that can be offered by existing and future car-sharing companies in the studied or similar cities.
Period9 Jan 202213 Jan 2022
Event titleTransportation Research Board 101th Annual Meeting
Event typeConference
Conference number101
LocationWashington DC, United States, District of ColumbiaShow on map
Degree of RecognitionInternational

Keywords

  • Car-sharing preferences
  • Incentives
  • Discrete choice models
  • Cross-national comparison