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The Impact of Urban Rail Transit Epidemic Prevention Measures on Passengers’ Safety Perception

Author

Listed:
  • Pengxiang Ding

    (School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai 200433, China)

  • Suwei Feng

    (School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai 200433, China)

  • Jianning Jiang

    (School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai 200433, China)

Abstract

In 2020, COVID-19 triggered concern about the safety of public transport. To meet passengers’ expectations regarding safety, the public transport department has stepped up its pandemic prevention services. Some prevention services require passengers to follow mandatory requirements. However, whether and to what extent these requirements affect passenger satisfaction with public transportation services remains unclear. This study aims to construct an integrated framework to explore the direct and indirect relationships between four constructs (regular services quality, pandemic prevention service, psychological distance, and safety perception) and passengers’ satisfaction in the context of urban rail transit services. Based on survey data collected from 500 passengers on the Shanghai Metro, this paper examines the relationships between routine service, pandemic prevention measures, safety perceptions, and satisfaction with the service. The results from the structural equation model indicate that routine service (0.608), pandemic prevention measures (0.56), and safety perception (0.05) have positive effects on passenger satisfaction. Psychological distance negatively impacts safety perception (−0.949) and has indirect effects on passenger satisfaction. Further, in order to identify the service improvements that public transportation departments should focus on, we use the three-factor theory to identify the services that should be improved: Basic factors, such as “punctual arrival of metros”, “treatment of harmful garbage”, “increasing frequency of platform disinfection”, and “measurement of station temperature” should be treated as the first priority. As the second improvement priority, “the planning of metro stations can accommodate my travel scope” can be considered. Last, public transportation departments can enhance the exciting factor by installing “metro entrance signs” when resources are available.

Suggested Citation

  • Pengxiang Ding & Suwei Feng & Jianning Jiang, 2023. "The Impact of Urban Rail Transit Epidemic Prevention Measures on Passengers’ Safety Perception," IJERPH, MDPI, vol. 20(5), pages 1-17, February.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4161-:d:1080620
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    as
    1. Wu, Xinyi & Cao, Jason & Huting, Joel, 2018. "Using three-factor theory to identify improvement priorities for express and local bus services: An application of regression with dummy variables in the Twin Cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 184-196.
    2. Sun, Fan & Jin, Minjie & Zhang, Tao & Huang, Wencheng, 2022. "Satisfaction differences in bus traveling among low-income individuals before and after COVID-19," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 311-332.
    3. Khadem Sameni, Melody & Barzegar Tilenoie, Amine & Dini, Niloofar, 2021. "Will modal shift occur from subway to other modes of transportation in the post-corona world in developing countries?," Transport Policy, Elsevier, vol. 111(C), pages 82-89.
    4. Esmailpour, Javad & Aghabayk, Kayvan & Aghajanzadeh, Mohammad & De Gruyter, Chris, 2022. "Has COVID-19 changed our loyalty towards public transport? Understanding the moderating role of the pandemic in the relationship between service quality, customer satisfaction and loyalty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 80-103.
    5. Zhang, Junyi, 2020. "Transport policymaking that accounts for COVID-19 and future public health threats: A PASS approach," Transport Policy, Elsevier, vol. 99(C), pages 405-418.
    6. Rong, Rui & Liu, Lishan & Jia, Ning & Ma, Shoufeng, 2022. "Impact analysis of actual traveling performance on bus passenger’s perception and satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 80-100.
    7. Bansal, Prateek & Kessels, Roselinde & Krueger, Rico & Graham, Daniel J., 2022. "Preferences for using the London Underground during the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 45-60.
    8. Marra, Alessio D. & Sun, Linghang & Corman, Francesco, 2022. "The impact of COVID-19 pandemic on public transport usage and route choice: Evidences from a long-term tracking study in urban area," Transport Policy, Elsevier, vol. 116(C), pages 258-268.
    9. Chen, Chao & Feng, Tao & Gu, Xiaoning & Yao, Baozhen, 2022. "Investigating the effectiveness of COVID-19 pandemic countermeasures on the use of public transport: A case study of The Netherlands," Transport Policy, Elsevier, vol. 117(C), pages 98-107.
    10. Molloy, Joseph & Schatzmann, Thomas & Schoeman, Beaumont & Tchervenkov, Christopher & Hintermann, Beat & Axhausen, Kay W., 2021. "Observed impacts of the Covid-19 first wave on travel behaviour in Switzerland based on a large GPS panel," Transport Policy, Elsevier, vol. 104(C), pages 43-51.
    11. Dea van Lierop & Madhav G. Badami & Ahmed M. El-Geneidy, 2018. "What influences satisfaction and loyalty in public transport? A review of the literature," Transport Reviews, Taylor & Francis Journals, vol. 38(1), pages 52-72, January.
    12. Bagdatli, Muhammed Emin Cihangir & Ipek, Fatima, 2022. "Transport mode preferences of university students in post-COVID-19 pandemic," Transport Policy, Elsevier, vol. 118(C), pages 20-32.
    13. Downey, Lucy & Fonzone, Achille & Fountas, Grigorios & Semple, Torran, 2022. "The impact of COVID-19 on future public transport use in Scotland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 338-352.
    14. Allen, Jaime & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2019. "Understanding public transport satisfaction: Using Maslow's hierarchy of (transit) needs," Transport Policy, Elsevier, vol. 81(C), pages 75-94.
    15. Shiwakoti, Nirajan & Stasinopoulos, Peter & Vincec, Paul & Qian, Weidong & Hafsar, Renan, 2019. "Exploring how perceptive differences impact the current public transport usage and support for future public transport extension and usage: A case study of Melbourne's tramline extension," Transport Policy, Elsevier, vol. 84(C), pages 12-23.
    16. Shen, Weiwei & Xiao, Weizhou & Wang, Xin, 2016. "Passenger satisfaction evaluation model for Urban rail transit: A structural equation modeling based on partial least squares," Transport Policy, Elsevier, vol. 46(C), pages 20-31.
    17. Dong, Hongming & Ma, Shoufeng & Jia, Ning & Tian, Junfang, 2021. "Understanding public transport satisfaction in post COVID-19 pandemic," Transport Policy, Elsevier, vol. 101(C), pages 81-88.
    18. Kamga, Camille & Eickemeyer, Penny, 2021. "Slowing the spread of COVID-19: Review of “Social distancing” interventions deployed by public transit in the United States and Canada," Transport Policy, Elsevier, vol. 106(C), pages 25-36.
    19. Majumdar, Bandhan Bandhu & Jayakumar, Malavika & Sahu, Prasanta K. & Potoglou, Dimitris, 2021. "Identification of key determinants of travel satisfaction for developing policy instrument to improve quality of life: An analysis of commuting in Delhi," Transport Policy, Elsevier, vol. 110(C), pages 281-292.
    20. Delbosc, Alexa & Currie, Graham, 2012. "Modelling the causes and impacts of personal safety perceptions on public transport ridership," Transport Policy, Elsevier, vol. 24(C), pages 302-309.
    21. Sun, Shichao & Duan, Zhengyu, 2019. "Modeling passengers’ loyalty to public transit in a two-dimensional framework: A case study in Xiamen, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 295-309.
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