V., Moovendhan, Kundu, Gautam Kumar, Gaur, Priya and Sharma, Gunjan Mohan (2024) Analyzing the impact of service quality on public transport performance: A panel data analysis with an online recommendation system. European Transport - Trasporti Europei, 96. ISSN 1825-3997
ET_2024_96_3.pdf - Published Version
Restricted to Repository staff only
Download (911kB) | Request a copy
Abstract
This study aims to examine the effect of various service quality parameters on the schedule-wise performance of intercity bus passenger transit using objective measures through a panel data regression model. The study findings show that service quality parameters such as bus fare and customer rating positively impact the operator's schedule-wise performance. In contrast, travel time hurts performance. The study also finds that bus type insignificantly affects performance, and an increase in bus fare does not impact performance. In summary, this study underscores the importance of service quality in the public transport system. It recommends that operators prioritize service quality parameters such as bus fare and customer rating to enhance their schedule-wise performance. Furthermore, this study offers valuable insights into the factors that affect the performance of intercity bus passenger transit, which can inform policymaking and management decisions in the public transport sector
Item Type: | Article |
---|---|
Keywords: | Intercity Bus Transport Performance | Panel data analysis of service quality | Schedule Performance | Service attributes |
Subjects: | Social Sciences and humanities > Business, Management and Accounting > Business and International Management Social Sciences and humanities > Social Sciences > Social Sciences (General) |
JGU School/Centre: | Jindal Global Business School |
Depositing User: | Subhajit Bhattacharjee |
Date Deposited: | 09 Apr 2024 17:09 |
Last Modified: | 09 Apr 2024 17:09 |
Official URL: | https://doi.org/10.48295/ET.2024.96.3 |
URI: | https://pure.jgu.edu.in/id/eprint/7575 |
Downloads
Downloads per month over past year