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Determinants of airport train operational performance
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This study aims to analyze the improvement of the operational performance of Indonesia’s Soekarno-Hatta Airport train through service quality which is mediated by train passenger loyalty and
passenger satisfaction. The main problems in this study are the use of the same railway for longdistance train, airport train, and commuter Line train, the limited use of airport railway with four
schedules, the headway which becomes 30 minutes since the number of travels becomes 82 trips,
and the tariff being applied now is considered as burdening the passengers. The research method
uses a quantitative analysis approach with the technique of Structural Equation Modeling-Lisrel.
Data collection is done through observation and questionnaire distribution. The respondents are 306
passengers of trains heading for Soekarno-Hatta Airport. The benefit of this study for the domestic
railway company is that by improving service quality, passenger loyalty and satisfaction, it will improve the operational performance of airport trains. The result of this research indicates the significant influence of service quality variable on passenger loyalty through passenger satisfaction, the
significant influence of service quality variable on operational performance through passenger satisfaction and passenger loyalty as well as the significant influence of passenger satisfaction variable
on operational performance through passenger loyalty
Prasadja Ricardianto - Personal Name
Siti Maemunah - Personal Name
Salahudin Rafi - Personal Name
Agus Setiawan - Personal Name
Peppy Fachria - Personal Name
Abdullah Ade Suryobuwono - Personal Name
Edi Abdurachman - Personal Name
Lira Agusinta - Personal Name
Heriyanto Wibowo - Personal Name
ENDRI ENDRI - Personal Name
Siti Maemunah - Personal Name
Salahudin Rafi - Personal Name
Agus Setiawan - Personal Name
Peppy Fachria - Personal Name
Abdullah Ade Suryobuwono - Personal Name
Edi Abdurachman - Personal Name
Lira Agusinta - Personal Name
Heriyanto Wibowo - Personal Name
ENDRI ENDRI - Personal Name
NONE
electronic file
English
Growing Science
2022
Canada
International Journal of Data and Network Science 6 (2022) 91–98
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