How transit route passenger load and distance can together influence quality of service

Bunker, Jonathan M. (2014) How transit route passenger load and distance can together influence quality of service. In Weeks, Jennifer (Ed.) Transportation Research Board 93rd Annual Meeting Compendium of Papers, Transportation Research Board of the National Academies, Washington, DC, USA.

[img] Accepted Version (PDF 414kB)
Administrators only | Request a copy from author

View at publisher


This paper investigates quality of service and resource productivity implications of transit route passenger loading and travel distance. Weekday Automatic Fare Collection data for a premium radial bus route in Brisbane, Australia, is used to investigate correlation between load factor and distance factor. Relationships between boardings and transit work indicate that distance factor generally increases with load factor. Time series analysis is then presented by examining each direction on an hour by hour basis. Inbound correlation is medium to strong across the entire span of service and strong for daytime services up to 19:30, while outbound correlation is strong across the entire span. Passengers tend to be making longer distance, peak direction commuter trips under the least comfortable conditions under stretched peak schedules than off-peak. Therefore productivity gains may be possible by adjusting fleet utilization during off-peak times. Weekday profiles by direction are established for a composite load-distance factor. A threshold corresponding to standing passengers on the Maximum Load Segment reveals that on-board loading and travel distance combined are more severe during the morning inbound peak than evening outbound peak, although the sharpness of the former suggests that encouraging shoulder peak travel during the morning would be more effective than evening peak. Further research suggested includes: consideration of travel duration factor, relating noise within hour to Peak Hour Factor, profiling load-distance factor across a range of case studies, and relating load-distance factor threshold to line length.

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 66417
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: transit, transit capacity, transit quality of service, bus, passenger load, load factor, distance factor, load distance factor
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 Omnipress
Copyright Statement: Duplication of this product and its content in print or digital form for the purpose of sharing with others is prohibited without permission from Omnipress
Deposited On: 20 Jan 2014 23:14
Last Modified: 08 Dec 2014 03:10

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page