Use of Exclusive and Pooled Ridehailing Services in Three Mexican Cities
RESEARCH BY DR. JOANNA MOODY, DR. DAVID KEITH, ENRIQUE ESPARZA-VILLARREAL PRESENTED BY ENRIQUE ESPARZA-VILLARREAL
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Use of Exclusive and Pooled Ridehailing Services in Three Mexican Cities RESEARCH BY DR. JOANNA MOODY, DR. DAVID KEITH, ENRIQUE ESPARZA-VILLARREAL PRESENTED BY ENRIQUE ESPARZA-VILLARREAL 1 Background 2 3 Purpose for this research There are
RESEARCH BY DR. JOANNA MOODY, DR. DAVID KEITH, ENRIQUE ESPARZA-VILLARREAL PRESENTED BY ENRIQUE ESPARZA-VILLARREAL
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There are two knowledge gaps in the ridehailing literature
Mexico
Comparte and Express, and drawing separate conclusions from each of them
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Surveyed two different groups of DiDi app users, those who:
June 25th, 2020). 882 respondents.
used the Comparte feature (launched July 22, 2020). 440 respondents
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In a typical week before COVID-19, with what frequency would you use ridehailing?
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Spearman rank correlation matrix of frequency of use of travel modes.
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Proportion of survey respondents who selected ridehailing as their primary transportation mode
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What mode of transportation do you normally use to make the following trips?
If DiDi Express/ Comparte were not available, with which mode of transportation would you replace those trips you would have taken with Express/Comparte?
To compute the percentages of replaced trips, we weighted each respondent’s answer by the total number of trips they took, assuming that the respondent replaces all their DiDi trips with their first-choice substitute.
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We asked Express users what factors were of importance to them to consider using Comparte.
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Importance of Factors to use Comparte in general
Express users Comparte users
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We asked respondents to state how much additional trip time they would be willing to incur for a set 40% discount. From this we computed our price elasticity of additional time ep’sstatistics:
Conversely, we asked Express users how much of a discount would be required for them to incur a 50% increase in trip time. ep’s statistics:
For both cohorts in the first question and in the second question we see ep > 1, which suggests that users are willing to trade off significant time for discounts.
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