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An exploration and importance-performance analysis of bus rapid transit systems’ service quality attributes: Evidence from an emerging economy

journal contribution
posted on 2024-11-03, 09:49 authored by Muhammad Saleem, Hanan Afzal, Farooq Ahmad, Hina Ismail, The Ninh NguyenThe Ninh Nguyen
Bus rapid transit (BRT) systems have emerged as efficient, convenient, and cost-effective solutions to meet customer transport needs. Since their advent in developing countries, a plethora of research has examined the service quality attributes of such systems that contribute to customers' overall satisfaction. Yet, there have been some methodological gaps that have limited understanding of what maximizes customer satisfaction with the service quality of the BRT system. This current study intends to fill such gaps and examines drivers of explicit and derived customer satisfaction with BRT systems in the emerging economy of Pakistan. In-depth interviews were first conducted to identify key service quality dimensions for BRT customers from four major Pakistani cities. A structured survey was then used to collect data from a total of 481 respondents (useable responses) using the Qualtrics platform. Data were analyzed via gap analysis, importance-performance grid, and regression analyses in SPSS to identify service quality elements that derive BRT customer satisfaction. These three data analysis techniques produced varying findings regarding service quality dimensions needing improvement to increase satisfaction. This study provides critical insights to improve the customers' BRT experience and some theoretical contributions for future researchers.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.tranpol.2023.07.010
  2. 2.
    ISSN - Is published in 0967070X

Journal

Transport Policy

Volume

141

Start page

1

End page

13

Total pages

13

Publisher

Elsevier

Place published

United Kingdom

Language

English

Copyright

© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Former Identifier

2006124910

Esploro creation date

2023-09-07

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