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Analyzing Urban Residents’ Appraisal of Ridepooling Service Attributes with Conjoint Analysis

Author

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  • Alexandra König

    (German Aerospace Center, Institute of Transportation Systems, 38108 Braunschweig, Germany)

  • Tabea Bonus

    (Faculty of Cognitive Psychology, Ergonomics University of Twente, 7522 Enschede, The Netherlands)

  • Jan Grippenkoven

    (German Aerospace Center, Institute of Transportation Systems, 38108 Braunschweig, Germany)

Abstract

Public ridepooling systems could contribute to the reduction of traffic volume and emissions in cities by decreasing the number of rides by private car while increasing the average number of passengers per vehicle. Yet, it is unknown how urban travelers value different attributes of the ridepooling’s operational concept. Which characteristics of ridepooling concepts are most important to the users? In order to obtain a deeper understanding of travelers’ preferences concerning a ridepooling system, choice-based Conjoint Analysis was performed. Based on a literature review and a focus group, six relevant attributes of the operational concept of ridepooling systems were determined: fare, walking distance, time of booking, shift of departure time, travel time, and information provision. Data from 237 German city dwellers were analyzed with the help of Cox regression. Except for time of booking, all service attributes significantly affected the respondents’ choice. Besides the high relevance of fare, the results underline the particular importance of the attribute walking distance to the pick-up point for elderly. The results give guidance for the creation of user-centered public transport systems that meet the requirements of the prospective passengers and thus might contribute to the development of shared passenger transport systems for sustainable urban mobility.

Suggested Citation

  • Alexandra König & Tabea Bonus & Jan Grippenkoven, 2018. "Analyzing Urban Residents’ Appraisal of Ridepooling Service Attributes with Conjoint Analysis," Sustainability, MDPI, vol. 10(10), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:10:p:3711-:d:175962
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    References listed on IDEAS

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    Cited by:

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    2. Papadima, Georgia & Genitsaris, Evangelos & Karagiotas, Ioannis & Naniopoulos, Aristotelis & Nalmpantis, Dimitrios, 2020. "Investigation of acceptance of driverless buses in the city of Trikala and optimization of the service using Conjoint Analysis," Utilities Policy, Elsevier, vol. 62(C).
    3. Prateek Bansal & Akanksha Sinha & Rubal Dua & Ricardo Daziano, 2019. "Eliciting Preferences of Ridehailing Users and Drivers: Evidence from the United States," Papers 1904.06695, arXiv.org.
    4. Alexandra König & Christina Wirth & Jan Grippenkoven, 2021. "Generation Y’s Information Needs Concerning Sharing Rides in Autonomous Mobility on Demand Systems," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
    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. Gödde, Jan & Ruhrort, Lisa & Allert, Viktoria & Scheiner, Joachim, 2023. "User characteristics and spatial correlates of ride-pooling demand – Evidence from Berlin and Munich," Journal of Transport Geography, Elsevier, vol. 109(C).
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