Abstract
Smartcard automated fare collection systems (SCAFC) for transit have been considered primarily for their administrative function of controlling access to the service and for revenue management. However, it is likely that data from these systems also can be used to describe both transport supply and demand. This article illustrates the use of smartcard data to estimate various transit performance measures. Combined with well-established evaluation processes, such measures can help operators monitor their networks in greater detail. The performance of the network supply (vehicle-kilometers, vehicle-hours, commercial speed, etc.) and the statistics on passenger service (passenger-kilometers, passenger-hours, average trip length, etc.) can be calculated from these datasets for any spatial or temporal level of resolution, including route and bus stop levels.
DOI
http://doi.org/10.5038/2375-0901.12.1.5
Recommended Citation
Trépanier, Martin, et al.
2009.
Calculation of Transit Performance Measures Using Smartcard Data.
Journal of Public Transportation, 12 (1): 79-96.
DOI: http://doi.org/10.5038/2375-0901.12.1.5
Available at:
https://digitalcommons.usf.edu/jpt/vol12/iss1/5
