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Determinants of airport train operational performance
Author(s) -
Prasadja Ricardianto,
Heriyanto Wibowo,
Lira Agusinta,
Edi Abdurachman,
Abdullah Ade Suryobuwono,
Peppy Fachrial,
Agus Setiawan,
Salahudin Rafi,
Siti Maemunah,
Endri Endri
Publication year - 2022
Publication title -
international journal of data and network science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.296
H-Index - 7
eISSN - 2561-8156
pISSN - 2561-8148
DOI - 10.5267/j.ijdns.2021.9.019
Subject(s) - transport engineering , service quality , headway , loyalty , train , customer satisfaction , lisrel , service (business) , structural equation modeling , quality (philosophy) , tariff , business , loyalty business model , engineering , marketing , computer science , geography , philosophy , cartography , epistemology , machine learning , international trade
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 long-distance 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.

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