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

Alexandra König, Tabea Bonus and Jan Grippenkoven
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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

Sustainability, 2018, vol. 10, issue 10, 1-16

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.

Keywords: ridepooling; Conjoint Analysis; choice modelling; passenger transport; shared mobility (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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