Paratransit (door-to-door public transit services for people with disabilities) is a key element of the public transit system. This type of service can be very costly to operate, yet it is essential for social inclusion. The aim of this study was to develop a quantitative approach to estimate paratransit dwell times and improve trip scheduling. Dwell time is defined as the time required for a vehicle to stop to board or alight passengers. Data collected by the paratransit department of the Société de transport de Montréal (STM), the Montreal, Canada, public transit agency, between September 2014 and May 2018 was used to estimate a dwell time model. Over 5 million data points were analyzed using a multiple linear regression model. The model takes into consideration the type of vehicle used, passenger characteristics (ambulatory or wheelchair passenger, support person), the activity performed at the stop (boarding or alighting), the stop location, the time, day and month the trip took place, and the type of place (residential or non-residential) served. The results reveal all these variables have a significant impact on dwell times. Using these results, a method was developed to improve estimated dwell times in STM’s paratransit scheduling system. The new method was implemented on August 1, 2018. The difference between planned and actual travel times was measured, before and after the implementation of the new method. The results show the on-time performance of the service was improved which helped optimize routes and reduce associated operational costs.
Adjusting Dwell Time for Paratransit Services
Transportation Research Record
Transportation Research Record: Journal of the Transportation Research Board ; 2674 , 9 ; 638-648
2020-06-06
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
PART 2 - PARATRANSIT: Organizational Structures for Brokerage of Paratransit Services
Online Contents | 2006
|Wiley | 2007
|Organizational Structures for Brokerage of Paratransit Services
British Library Conference Proceedings | 2006
|Organizational Structures for Brokerage of Paratransit Services
Transportation Research Record | 2006
|Modeling commuters’ preference towards sharing paratransit services
Elsevier | 2023
|