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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| Format: | Article |
| Language: | English |
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Findings Press
2020-08-01
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| Series: | Findings |
| Online Access: | https://doi.org/10.32866/001c.14547 |
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| _version_ | 1850219992272863232 |
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| author | Mischa Young Steven Farber |
| author_facet | Mischa Young Steven Farber |
| author_sort | Mischa Young |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e5439cdda46e4fd98c5fcad3b64a7eca |
| institution | OA Journals |
| issn | 2652-8800 |
| language | English |
| publishDate | 2020-08-01 |
| publisher | Findings Press |
| record_format | Article |
| series | Findings |
| spelling | doaj-art-e5439cdda46e4fd98c5fcad3b64a7eca2025-08-20T02:07:12ZengFindings PressFindings2652-88002020-08-0110.32866/001c.14547Using Wait-time Thresholds to Improve Mobility: The Case of UberWAV Services in TorontoMischa YoungSteven FarberWe 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.https://doi.org/10.32866/001c.14547 |
| spellingShingle | Mischa Young Steven Farber Using Wait-time Thresholds to Improve Mobility: The Case of UberWAV Services in Toronto Findings |
| title | Using Wait-time Thresholds to Improve Mobility: The Case of UberWAV Services in Toronto |
| title_full | Using Wait-time Thresholds to Improve Mobility: The Case of UberWAV Services in Toronto |
| title_fullStr | Using Wait-time Thresholds to Improve Mobility: The Case of UberWAV Services in Toronto |
| title_full_unstemmed | Using Wait-time Thresholds to Improve Mobility: The Case of UberWAV Services in Toronto |
| title_short | Using Wait-time Thresholds to Improve Mobility: The Case of UberWAV Services in Toronto |
| title_sort | using wait time thresholds to improve mobility the case of uberwav services in toronto |
| url | https://doi.org/10.32866/001c.14547 |
| work_keys_str_mv | AT mischayoung usingwaittimethresholdstoimprovemobilitythecaseofuberwavservicesintoronto AT stevenfarber usingwaittimethresholdstoimprovemobilitythecaseofuberwavservicesintoronto |