981
Views
32
CrossRef citations to date
0
Altmetric
Original Articles

Determination of level-of-service scale values for quantitative bus transit service attributes based on user perception

&
Pages 1-21 | Received 19 Jul 2013, Accepted 28 Mar 2014, Published online: 06 May 2014
 

Abstract

The need to assess service quality of existing transportation systems based on users’ perceptions has received increased attention in recent years. In this context, researchers have identified level of service (LOS) as an effective tool to measure users’ perceptions of service quality on a linguistic scale ranging from LOS A to LOS F which denote ‘best’ to ‘worst’ levels of service according to users’ perceptions. However, contrary to the definition of LOS that requires it to be measured based on user perception, the existing LOS benchmarks available for public transportation are based on expert judgment. This research attempts to develop LOS benchmarks for bus transit services based on user perception using the ‘Law of Successive Interval Scaling’ which converts an ordered categorical scale into an interval scale. The results obtained through this analysis for the city of Kolkata, India, highlight the difference in LOS scale values between developed and developing nations and between expert opinion and user perception.

Acknowledgements

The authors would like to thank the Sponsored Research & Industrial Consultancy (SRIC) cell of Indian Institute of Technology, Kharagpur, for funding the primary surveys conducted for this research.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 594.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.