IDEAS home Printed from https://ideas.repec.org/a/eee/jaitra/v117y2024ics0969699724000437.html
   My bibliography  Save this article

Spatiotemporal characteristics and influencing factors of airport service quality in China

Author

Listed:
  • Ran, Xinyue
  • Li, Lingling
  • Han, Ruiling

Abstract

Airport service quality (ASQ) is essential for determining the quality of ground civil aviation services. In this study, ASQ was assessed using the monthly airport aviation complaint data from 2015 to 2019 of 196 airports in mainland China (except for airports in Hong Kong, Macao, and Taiwan, which are not included in the statistics). First, we constructed a seasonal index of aviation complaints to evaluate and compare the overall temporal characteristics of ASQ in China. Second, the spatial distribution pattern of ASQ in China was determined using the aviation complaint concentration index and hot spot analysis model. Finally, the major influencing factors and categories of ASQ in China were analyzed considering spatiotemporal dimensions using the correspondence analysis method. The results revealed that there were clear seasonal differences among ASQ in China, with a high–low–low–high distribution during all four seasons. The regional agglomeration trend of airport aviation complaints was obvious, and the spatial difference in ASQ was large. Northern and western China performed better than southern China. Spatiotemporal and influencing factors of ASQ were the most strongly correlated factors in each quarter and region. The predominant source of aviation complaints across all types of airports is related to fundamental services, with check-in services identified as the most impactful category affecting ASQ. This study, based on 60 months of statistical data, offers a comprehensive evaluation of ASQ throughout the entire airport network in mainland China, from the perspective of aviation complaints. Additionally, a systematic ASQ evaluation method and research system encompassing time, space, and elements were established. This framework not only stimulates the improvement and enhancement of ASQ but also provides a theoretical foundation for differentially enhancing ASQ in regional airports. Overall, our results contribute to breaking through the qualitative research thinking system in ASQ research from a theoretical perspective, paving the way for exploring broader research in enhancing the quality of ground civil aviation services.

Suggested Citation

  • Ran, Xinyue & Li, Lingling & Han, Ruiling, 2024. "Spatiotemporal characteristics and influencing factors of airport service quality in China," Journal of Air Transport Management, Elsevier, vol. 117(C).
  • Handle: RePEc:eee:jaitra:v:117:y:2024:i:c:s0969699724000437
    DOI: 10.1016/j.jairtraman.2024.102578
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969699724000437
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jairtraman.2024.102578?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Maria Grazia Bellizzi & Luigi dell’Olio & Laura Eboli & Carmen Forciniti & Gabriella Mazzulla, 2020. "Passengers’ Expectations on Airlines’ Services: Design of a Stated Preference Survey and Preliminary Outcomes," Sustainability, MDPI, vol. 12(11), pages 1-14, June.
    2. Mun Hwan Kim & Jin Woo Park & Yu Jin Choi, 2020. "A Study on the Effects of Waiting Time for Airport Security Screening Service on Passengers’ Emotional Responses and Airport Image," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    3. Pandey, Mukesh Mohan, 2016. "Evaluating the service quality of airports in Thailand using fuzzy multi-criteria decision making method," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 241-249.
    4. Miroslav Drljača & Igor Štimac & Matija Bračić & Saša Petar, 2020. "The Role and Influence of Industry 4.0. in Airport Operations in the Context of COVID-19," Sustainability, MDPI, vol. 12(24), pages 1-18, December.
    5. de Barros, Alexandre G. & Somasundaraswaran, A.K. & Wirasinghe, S.C., 2007. "Evaluation of level of service for transfer passengers at airports," Journal of Air Transport Management, Elsevier, vol. 13(5), pages 293-298.
    6. Fithian, William & Josse, Julie, 2017. "Multiple correspondence analysis and the multilogit bilinear model," Journal of Multivariate Analysis, Elsevier, vol. 157(C), pages 87-102.
    7. Lupo, Toni, 2015. "Fuzzy ServPerf model combined with ELECTRE III to comparatively evaluate service quality of international airports in Sicily," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 249-259.
    8. Correia, Anderson Ribeiro & Wirasinghe, S.C. & de Barros, Alexandre G., 2008. "A global index for level of service evaluation at airport passenger terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(4), pages 607-620, July.
    9. Ronzani Borille, Giovanna Miceli & Correia, Anderson Ribeiro, 2013. "A method for evaluating the level of service arrival components at airports," Journal of Air Transport Management, Elsevier, vol. 27(C), pages 5-10.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thampan, Aromal & Sinha, Kapil & Gurjar, B.R. & Rajasekar, E., 2020. "Functional efficiency in airport terminals: A review on Overall and Stratified Service Quality," Journal of Air Transport Management, Elsevier, vol. 87(C).
    2. Phelipe Medeiros da Rocha & Helder Gomes Costa & Glauco Barbosa da Silva, 2022. "Gaps, Trends and Challenges in Assessing Quality of Service at Airport Terminals: A Systematic Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    3. Bakır, Mahmut & Özdemir, Emircan & Akan, Şahap & Atalık, Özlem, 2022. "A bibliometric analysis of airport service quality," Journal of Air Transport Management, Elsevier, vol. 104(C).
    4. Bezerra, George C.L. & Gomes, Carlos F., 2018. "Performance measurement practices in airports: Multidimensionality and utilization patterns," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 113-125.
    5. Bezerra, George Christian Linhares & Gomes, Carlos F., 2016. "Measuring airport service quality: A multidimensional approach," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 85-93.
    6. Gajewicz, Šukasz & Walaszczyk, Ewa & Nadolny, Michał & Nowosielski, Krzysztof, 2022. "Criteria of quality assessment of regional airport services - A very last picture before the COVID-19 pandemic," Journal of Air Transport Management, Elsevier, vol. 103(C).
    7. Thitinan Pholsook & Warit Wipulanusat & Poomporn Thamsatitdej & Sarawut Ramjan & Jirapon Sunkpho & Vatanavongs Ratanavaraha, 2023. "A Three-Stage Hybrid SEM-BN-ANN Approach for Analyzing Airport Service Quality," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    8. Rocha, Phelipe Medeiros da & Barros, Alexandre Pinheiro de & Silva, Glauco Barbosa da & Costa, Helder Gomes, 2016. "Analysis of the operational performance of brazilian airport terminals: A multicriteria approach with De Borda-AHP integration," Journal of Air Transport Management, Elsevier, vol. 51(C), pages 19-26.
    9. Paramonovs Sergejs & Ijevleva Ksenija, 2015. "Factor Analysis of Passengers’ Satisfaction at “RIGA International Airport”," Economics and Business, Sciendo, vol. 27(1), pages 46-52, August.
    10. Uludağ, Ahmet Serhat, 2020. "Measuring the productivity of selected airports in Turkey," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    11. Prentice, Catherine & Kadan, Mariam, 2019. "The role of airport service quality in airport and destination choice," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 40-48.
    12. Antwi, Collins Opoku & Fan, Chong-jun & Ihnatushchenko, Nataliia & Aboagye, Michael Osei & Xu, Hangyu, 2020. "Does the nature of airport terminal service activities matter? Processing and non-processing service quality, passenger affective image and satisfaction," Journal of Air Transport Management, Elsevier, vol. 89(C).
    13. Bogicevic, Vanja & Yang, Wan & Cobanoglu, Cihan & Bilgihan, Anil & Bujisic, Milos, 2016. "Traveler anxiety and enjoyment: The effect of airport environment on traveler's emotions," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 122-129.
    14. Antwi, Collins Opoku & Fan, Chong-jun & Nataliia, Ihnatushchenko & Aboagye, Michael Osei & Xu, Hangyu & Azamela, John Coffie, 2020. "Do airport staff helpfulness and communication generate behavioral loyalty in transfer passengers? A conditional mediation analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    15. Bellizzi, Maria Grazia & Eboli, Laura & Mazzulla, Gabriella & Postorino, Maria Nadia, 2022. "Classification trees for analysing highly educated people satisfaction with airlines’ services," Transport Policy, Elsevier, vol. 116(C), pages 199-211.
    16. Pandey, Mukesh Mohan, 2020. "Evaluating the strategic design parameters of airports in Thailand to meet service expectations of Low-Cost Airlines using the Fuzzy-based QFD method," Journal of Air Transport Management, Elsevier, vol. 82(C).
    17. Bogicevic, Vanja & Bujisic, Milos & Bilgihan, Anil & Yang, Wan & Cobanoglu, Cihan, 2017. "The impact of traveler-focused airport technology on traveler satisfaction," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 351-361.
    18. De Nicola, Arianna & Gitto, Simone & Mancuso, Paolo, 2013. "Airport quality and productivity changes: A Malmquist index decomposition assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 67-75.
    19. Paraschi, Elen Paraskevi & Georgopoulos, Antonios & Papatheodorou, Andreas, 2020. "Abiotic determinants of airport performance: Insights from a global survey," Transport Policy, Elsevier, vol. 85(C), pages 33-53.
    20. Certa, Antonella & Hopps, Fabrizio & Inghilleri, Roberta & La Fata, Concetta Manuela, 2017. "A Dempster-Shafer Theory-based approach to the Failure Mode, Effects and Criticality Analysis (FMECA) under epistemic uncertainty: application to the propulsion system of a fishing vessel," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 69-79.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jaitra:v:117:y:2024:i:c:s0969699724000437. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/journal-of-air-transport-management/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.