IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i13p5487-d1423908.html
   My bibliography  Save this article

Satisfaction Evaluation and Sustainability Optimization of Urban Medical Facilities Based on Residents’ Activity Data in Nanjing, China

Author

Listed:
  • Yang Cao

    (College of Construction Engineering, Jiangsu Open University, Nanjing 210019, China
    These authors contributed equally to this work.)

  • Hao Wu

    (Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China
    These authors contributed equally to this work.)

  • Linyi Zhou

    (Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China)

  • Feng Ding

    (Nanjing Environmental Monitoring Canter of Jiangsu Province, Nanjing 210019, China)

  • Qi Xu

    (Jiangsu Air Traffic Management Branch Bureau of CAAC, Nanjing 211512, China)

  • Yan Liu

    (Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China)

  • Hao Xu

    (Admissions Service Department, Jiangsu Open University, Nanjing 210019, China)

  • Xi Lu

    (Admissions Service Department, Jiangsu Open University, Nanjing 210019, China)

Abstract

Research on public service facility evaluation has mainly focused on spatial accessibility and facility quality from a supply perspective, but has rarely focused on the evaluation of service facilities from a usage perspective. Researchers can observe the service quality, frequency of use, functional connotation, satisfaction level, and other aspects of facilities from the user’s perspective, effectively compensating for the disadvantage of insufficient precision in traditional macro statistical data. This study proposes a new method for evaluating medical facility usage and service quality based on residents’ activity data. We established an evaluation index system from the perspective of residents’ activity by measuring intensity, frequency, and service satisfaction through network grading data and online comments context. Then, we evaluated the supply and demand relationship of medical facilities, identifying the influencing factors of medical satisfaction. We have also proposed specific strategies for sustainable optimization of medical services. The results show that (1) the service attitude (0.024, 0.002**), service efficiency (0.133, 0.001*), and service quality (0.017, 0.001**) of medical institutions are the core factors that affect medical satisfaction, followed by the convenience of residents in accessing medical resources, showing a significant positive correlation ( p < 0.01, Total R 2 = 0.9061); and (2) the medical service level in Nanjing City is generally balanced, although spatial heterogeneity exists in the Qixia and Jiangning boroughs.

Suggested Citation

  • Yang Cao & Hao Wu & Linyi Zhou & Feng Ding & Qi Xu & Yan Liu & Hao Xu & Xi Lu, 2024. "Satisfaction Evaluation and Sustainability Optimization of Urban Medical Facilities Based on Residents’ Activity Data in Nanjing, China," Sustainability, MDPI, vol. 16(13), pages 1-25, June.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5487-:d:1423908
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/13/5487/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/13/5487/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Calnan, Michael & Almond, Stephen & Smith, Nick, 2003. "Ageing and public satisfaction with the health service: an analysis of recent trends," Social Science & Medicine, Elsevier, vol. 57(4), pages 757-762, August.
    2. van Lierop, Dea & El-Geneidy, Ahmed, 2016. "Enjoying loyalty: The relationship between service quality, customer satisfaction, and behavioral intentions in public transit," Research in Transportation Economics, Elsevier, vol. 59(C), pages 50-59.
    3. Woodcraft, Saffron, 2015. "Understanding and measuring social sustainability," Journal of Urban Regeneration and Renewal, Henry Stewart Publications, vol. 8(2), pages 133-144, January.
    4. Lu Ye & Zihao Wu & Ting Wang & Kangle Ding & Yu Chen, 2022. "Villagers’ Satisfaction Evaluation System of Rural Human Settlement Construction: Empirical Study of Suzhou in China’s Rapid Urbanization Area," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    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. Allen, Jaime & Eboli, Laura & Forciniti, Carmen & Mazzulla, Gabriella & Ortúzar, Juan de Dios, 2019. "The role of critical incidents and involvement in transit satisfaction and loyalty," Transport Policy, Elsevier, vol. 75(C), pages 57-69.
    2. Pons-Prats, Jordi & Živojinović, Tanja & Kuljanin, Jovana, 2022. "On the understanding of the current status of urban air mobility development and its future prospects: Commuting in a flying vehicle as a new paradigm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    3. Yang, Jun & Guo, Fang & Zhang, Min, 2017. "Optimal planning of swapping/charging station network with customer satisfaction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 174-197.
    4. Nguyen-Phuoc, Duy Quy & Vo, Nguyen S. & Su, Diep Ngoc & Nguyen, Vinh Hoang & Oviedo-Trespalacios, Oscar, 2021. "What makes passengers continue using and talking positively about ride-hailing services? The role of the booking app and post-booking service quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 367-384.
    5. 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.
    6. Quy Nguyen-Phuoc, Duy & Nguyen, Teron & Ngoc Su, Diep & Thi Le, Phuong & Oviedo-Trespalacios, Oscar, 2022. "How do social cues from other passengers affect word-of-mouth and intention to continue using bus services? A second-order SEM approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 302-320.
    7. Weizhen Zhan & Zhenwu You, 2024. "Factors influencing villagers’ willingness to participate in grassroots governance: evidence from the Chinese social survey," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-8, December.
    8. Jesper Bláfoss Ingvardson & Sigal Kaplan & João de Abreu e Silva & Floridea Ciommo & Yoram Shiftan & Otto Anker Nielsen, 2020. "Existence, relatedness and growth needs as mediators between mode choice and travel satisfaction: evidence from Denmark," Transportation, Springer, vol. 47(1), pages 337-358, February.
    9. Esmailpour, Javad & Aghabayk, Kayvan & Abrari Vajari, Mohammad & De Gruyter, Chris, 2020. "Importance – Performance Analysis (IPA) of bus service attributes: A case study in a developing country," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 129-150.
    10. Chakrabarti, Sandip, 2022. "Passively wait for gridlock, or proactively invest in service? Strategies to promote car-to-transit switches among aspirational urbanites in rapidly developing contexts," Transport Policy, Elsevier, vol. 115(C), pages 251-261.
    11. Aniqa Ahmad & Sofia Anwar, 2023. "A Composite Index for Sustainable Development: Measurement and Development Status of Selected Countries," Journal of Economic Impact, Science Impact Publishers, vol. 5(1), pages 1-14.
    12. Dea Lierop & Ahmed El-Geneidy, 2018. "Is having a positive image of public transit associated with travel satisfaction and continued transit usage? An exploratory study of bus transit," Public Transport, Springer, vol. 10(2), pages 241-256, August.
    13. Weng, JianCheng & Yu, JiangBo & Di, XiaoJian & Lin, PengFei & Wang, Jing-Jing & Mao, Li-Zeng, 2023. "How does the state of bus operations influence passengers’ service satisfaction? A method considering the differences in passenger preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    14. Ahmad Ibrahim Aljumah, 2023. "Investigating the Impact of Blockchain Technology on Social Sustainability and the Mediating Role of Ethics and CSR," Sustainability, MDPI, vol. 15(21), pages 1-17, November.
    15. Guo, Fang & Yang, Jun & Lu, Jianyi, 2018. "The battery charging station location problem: Impact of users’ range anxiety and distance convenience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 1-18.
    16. Nguyen-Phuoc, Duy Quy & Su, Diep Ngoc & Tran, Phuong Thi Kim & Le, Diem-Trinh Thi & Johnson, Lester W., 2020. "Factors influencing customer's loyalty towards ride-hailing taxi services – A case study of Vietnam," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 96-112.
    17. Paula Vicente & Abdul Suleman & Elizabeth Reis, 2020. "Index of Satisfaction with Public Transport: A Fuzzy Clustering Approach," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    18. Mandhani, Jyoti & Nayak, Jogendra Kumar & Parida, Manoranjan, 2020. "Interrelationships among service quality factors of Metro Rail Transit System: An integrated Bayesian networks and PLS-SEM approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 320-336.
    19. Jesper Bláfoss Ingvardson & Otto Anker Nielsen, 2022. "The influence of vicinity to stations, station characteristics and perceived safety on public transport mode choice: a case study from Copenhagen," Public Transport, Springer, vol. 14(2), pages 459-480, June.
    20. Roberto F. Abenoza & Oded Cats & Yusak O. Susilo, 2019. "How does travel satisfaction sum up? An exploratory analysis in decomposing the door-to-door experience for multimodal trips," Transportation, Springer, vol. 46(5), pages 1615-1642, October.

    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:gam:jsusta:v:16:y:2024:i:13:p:5487-:d:1423908. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.