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: Mischa Young, Steven Farber
Format: Article
Language:English
Published: Findings Press 2020-08-01
Series:Findings
Online Access:https://doi.org/10.32866/001c.14547
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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.
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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