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The Development of Service Metrics Indicators of a Public Transportation Service Case Study

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Warunee Aunphoklang

The Development of Service Metrics Indicators of a Public Transportation Service Case Study: Intercity Trains in Nakhon Ratchasima Province, Thailand

Authors: Nattiya Wonglakorn ,Anon Chantaratang ,Cherdsak Suksiripattanapong ,Karn Na Sritha ,Warunee Aunphoklang ,Nattida Ninjinda and Wilasinee Keerakittisakul*

This research studied the relationships of indicators related to the selection of intercity train services in Thailand’s Nakhon Ratchasima province. The goal was to examine the characteristics of the intercity train services and the factors that influence choosing them. The research tool used to collect data consisted of 508 sets of questionnaires completed by samples who had used the intercity train service. The data were analyzed using structural equation modeling to investigate the service quality and customer satisfaction indicators affecting the selection of intercity train services. The study found that the service quality indicators included station, service, staff, and vehicle. The customer satisfaction indicators included station, service, travel promotions, and price satisfaction. However, when the service quality indicators were investigated, they had a direct positive effect on customer satisfaction at the 0.01 level of statistical significance. Passengers are most satisfied with obtaining travel information, such as train timetables, fares, and updated information. The involved agencies can use the study’s findings to determine policies and formulate plans for information management and intercity train service metrics.
Keywords: intercity train; service quality indicators; structural equation modeling; Nakhon Ratchasima

Citation:
Wonglakorn N, Chantaratang A, Suksiripattanapong C, Na Sritha K, Aunphoklang W, Ninjinda N, Keerakittisakul W. The Development of Service Metrics Indicators of a Public Transportation Service Case Study: Intercity Trains in Nakhon Ratchasima Province, Thailand. Sustainability. 2023; 15(15):11739. https://doi.org/10.3390/su151511739