IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i14p6596-d1705271.html

Factors Influencing Nighttime Tourists’ Satisfaction of Urban Lakes: A Case Study of the Daming Lake Scenic Area, China

Author

Listed:
  • Huying Zhu

    (Business School, Hunan University of Science and Technology, Xiangtan 411201, China
    Research Center for Regional High-Quality Development, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Mengru Li

    (Business School, Hunan University of Science and Technology, Xiangtan 411201, China)

Abstract

Tourist satisfaction of nighttime urban lakes as scenic areas, such as the Daming Lake, is influenced by multiple factors, which are crucial for tourists’ experiences and the sustainable development of these areas. This paper explores the factors impacting nighttime visitor satisfaction at the Daming Lake Scenic Area. Basing our studies on analysis of the literature and questionnaire surveys, the study constructs a visitor satisfaction evaluation index system based on the Expectancy-Disconfirmation Theory. Utilizing the revised importance-performance analysis method, the study identifies several significant influencing factors including the distinctive features of nighttime shopping products, the rich variety of nighttime tourscape and entertainment products, the aesthetically pleasing design of nighttime lighting products, the affordable price of nighttime dining products, and the diverse methods, reasonable pricing, and multimodal transit options of nighttime transportation. Furthermore, it finds the main factors that reduce tourists’ satisfaction in nighttime urban lakes include: premium pricing of nighttime shopping and dining products, transport infrastructure deficiencies, the cultural connotation of tourism products, and the safety of nighttime tourscape and entertainment products. This research provides insights to enhance satisfaction in urban lake scenic areas and expands the application of the tourist satisfaction theory.

Suggested Citation

  • Huying Zhu & Mengru Li, 2025. "Factors Influencing Nighttime Tourists’ Satisfaction of Urban Lakes: A Case Study of the Daming Lake Scenic Area, China," Sustainability, MDPI, vol. 17(14), pages 1-23, July.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:14:p:6596-:d:1705271
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/14/6596/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/14/6596/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yao Lu & Mao-en He & Chang Liu, 2023. "Tourism Competitiveness Evaluation Model of Urban Historical and Cultural Districts Based on Multi-Source Data and the AHP Method: A Case Study in Suzhou Ancient City," Sustainability, MDPI, vol. 15(24), pages 1-21, December.
    2. Yanchun Jin & Yoonseo Park, 2019. "An Integrated Approach to Determining Rural Tourist Satisfaction Factors Using the IPA and Conjoint Analysis," IJERPH, MDPI, vol. 16(20), pages 1-16, October.
    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. J. P. Sepúlveda-Rojas & Sergio Aravena & Raúl Carrasco, 2024. "Increasing Efficiency in Furniture Remanufacturing with AHP and the SECI Model," Sustainability, MDPI, vol. 16(23), pages 1-19, November.
    2. Di Liu & Fengming Li & Lin Guo & Yongfang Jia & Feng Feng, 2025. "Coupled Coordination and Influencing Factors of Tourism Urbanization and Resident Well-Being in the Central Plains Urban Agglomeration, China," Sustainability, MDPI, vol. 17(10), pages 1-21, May.
    3. Gangwei Cai & Min Zhang & Xiandu Zhang & Huijian Xi & Zhong Chen & Chao Liu & Kang Liu & Ke Liu & Shiwen Xu & Zuoping Yu, 2023. "Promoting Green Buildings and Low-Carbon Design Strategies of Green B&B Rooms for Sustainable Tourism after COVID-19," Land, MDPI, vol. 12(3), pages 1-17, March.
    4. Yuan Hou & Yaofu Huang & Jiangbin Yin & Zhipeng Xu, 2024. "How Does the Habitat Environment Affect the Life Satisfaction of County Residents? An IPA-Kano Model Analysis Based on Western China," Land, MDPI, vol. 13(8), pages 1-21, August.
    5. Yan Hu & Feng Lin & Qizhen Dong & Young-joo Ahn, 2024. "Exploring Cultural and Heritage Attributes at Mount Yunqiu, China, Using Importance–Performance Analysis," Sustainability, MDPI, vol. 16(13), pages 1-20, June.
    6. Yan Hong & Gangwei Cai & Zhoujin Mo & Weijun Gao & Lei Xu & Yuanxing Jiang & Jinming Jiang, 2020. "The Impact of COVID-19 on Tourist Satisfaction with B&B in Zhejiang, China: An Importance–Performance Analysis," IJERPH, MDPI, vol. 17(10), pages 1-19, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:17:y:2025:i:14:p:6596-:d:1705271. 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.