Using Wait-time Thresholds to Improve Mobility: The Case of UberWAV Services in Toronto
We examine the wait-time of Uber’s wheelchair accessible service (UberWAV) in Toronto, to determine whether it meets the City’s 11-minutes average wait-time requirement. Using a 12-million record dataset of every ride-hailing trip conducted in Toronto between September 2016 and March 2017, we show t...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Findings Press
2020-08-01
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| Series: | Findings |
| Online Access: | https://doi.org/10.32866/001c.14547 |
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| Summary: | We examine the wait-time of Uber’s wheelchair accessible service (UberWAV) in Toronto, to determine whether it meets the City’s 11-minutes average wait-time requirement. Using a 12-million record dataset of every ride-hailing trip conducted in Toronto between September 2016 and March 2017, we show that wait-times for UberWAV services were, on average, longer during rush hour periods and for trips further away from downtown. Despite this, we find that UberWAV services met the average wait-time requirement imposed by the City and believe that by offering shorter wait-times than previously available, this service significantly improves the mobility of people who require accessible transport services. |
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| ISSN: | 2652-8800 |