2018
DOI: 10.3390/su10103711
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Analyzing Urban Residents’ Appraisal of Ridepooling Service Attributes with Conjoint Analysis

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… Show more

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Cited by 30 publications
(18 citation statements)
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“…Apparently, travelers attach high importance to low fares, thus confirming findings in the field of ridesharing that show cost savings to be one of the most influential attributes for using ridesharing [45]. The results are further in line with the findings of König et al [13] that proved the high importance of price for urban residents' appraisal of ridepooling systems. The trip purpose had no significant effect on the respondents' appraisal of the attribute fare.…”
Section: Summary and Interpretation Of Findingssupporting
confidence: 85%
See 3 more Smart Citations
“…Apparently, travelers attach high importance to low fares, thus confirming findings in the field of ridesharing that show cost savings to be one of the most influential attributes for using ridesharing [45]. The results are further in line with the findings of König et al [13] that proved the high importance of price for urban residents' appraisal of ridepooling systems. The trip purpose had no significant effect on the respondents' appraisal of the attribute fare.…”
Section: Summary and Interpretation Of Findingssupporting
confidence: 85%
“…This research was conducted in order to fill the research gap with regard to the limited empirical findings concerning travelers' preferences and needs related to ridepooling service concepts. The study builds upon and extents the recent study of König et al [13] by broadening the focus and applying a regression modelling approach. Furthermore, the study adds onto the prior study by calculating willingness to pay values.…”
Section: Summary and Interpretation Of Findingsmentioning
confidence: 99%
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“…In 2015, Wojtowicz, Wolański, and Widła--Domaradzki used CA to carry out the ex-ante evaluation of railway infrastructure investments [21]. In 2018, König, Bonus, and Grippenkoven used CA to obtain a deeper understanding of travelers' preferences concerning a ride-pooling system in Germany [22].…”
Section: Literature Reviewmentioning
confidence: 99%