TRB paper 19-03753 final version v1.pdf (1017.25 kB)
Analysing bus passengers' satisfaction in Dhaka using discrete choice models
journal contributionposted on 2019-01-08, 16:44 authored by Mohammed Quddus, Farzana Rahman, Fredrik Monsuur, Juan de Ona, Marcus EnochMarcus Enoch
The bus transport system in Dhaka is unsafe, unreliable and inefficient, and struggles to cope with the day-to-day mobility of its massive population. Consequently, measuring the performance of bus service quality (SQ) from the customers’ perspective is fundamental in planning a sustainable bus transport system for Dhaka, and in developing the associated policies and regulations. Although there are some studies addressing the performance of the public transport systems in Bangladesh, little research considers how SQ attributes affect passengers’ satisfaction. The purpose of this paper is to examine a relationship between bus SQ and its influencing factors in Dhaka. Using a customer satisfaction survey with a sample size of 955, discrete choice models (e.g. multinomial logit and mixed logit) have been developed. The results indicate that the inhabitants, as expected, are dissatisfied with their bus services (less than 10% rated SQ as either excellent/good) and service attributes such as comfort level and driver skills were found to be the most important contributors towards the poor and very poor perceptions of SQ. Other influencing factors are punctuality, safety, entry and exit processes, waiting time and vehicle condition. One surprising finding was that the multinomial logit model provides better goodness-of-fit for the sample data relative to the mixed logit model implying that bus users in Dhaka may represent a homogeneous group as they do have access to other modes. Findings from this study can be utilised to develop policies and regulations to improve bus transport in Dhaka.
- Architecture, Building and Civil Engineering
Published inTransportation Research Record
CitationQUDDUS, M.A. ... et al, 2019. Analysing bus passengers' satisfaction in Dhaka using discrete choice models. Transportation Research Record, 2673(2), pp. 758-768.
PublisherSAGE Publications © National Academy of Sciences: Transportation Research Board
- AM (Accepted Manuscript)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesThis paper was published in the journal Transportation Research Record and the definitive published version is available at https://doi.org/10.1177/0361198119825846.