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Analysis of the Characteristics and Causes of Night Tourism Accidents in China Based on SNA and QAP Methods

Author

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  • Rui Huang

    (College of Tourism, Huaqiao University, Quanzhou 362021, China)

  • Chaowu Xie

    (College of Tourism, Huaqiao University, Quanzhou 362021, China)

  • Feifei Lai

    (College of Tourism, Huaqiao University, Quanzhou 362021, China)

  • Xiang Li

    (Tourism and Aviation Service College, Guizhou Minzu University, Guiyang 550025, China)

  • Gaoyang Wu

    (College of Tourism, Huaqiao University, Quanzhou 362021, China)

  • Ian Phau

    (School of Management and Marketing, Curtin University, Perth, WA 6845, Australia)

Abstract

The key purpose of this paper is to address an inherent gap in the literature on safety issues in the development of night tourism. This research takes a novel methodological approach, by using 8787 cases of tourism safety accidents in typical night tourism cities in China, and applying social network analysis (SNA) and quadratic assignment procedure (QAP) regression analysis to explore the multidimensional structural characteristics and risk-causing factors of night tourism accidents. Key findings include: (1) Amidst the complexity and diversity of the night tourism safety accidents in cities, disastrous accidents, public health accidents, natural disasters, and social security accidents are the main types of night tourism safety accidents. (2) Night tourism safety accidents have strong aggregation in specific time periods and spatial regions. There are differences in the timepoint and duration of each accident type, showing different distribution characteristics in different cities and locations. (3) Distribution of accident types in night tourism products shows obvious core-edge structure characteristics. (4) The degree of co-occurrence of four risk-inducing factors, i.e., personnel, facilities, environment, and management, has high explanatory power at the accident correlation level in the co-occurrence network of night tourism safety accidents in cities, and the influence effects of risk factors are heterogeneous at different timepoints. Our results provide some valuable implications for optimizing night tourism safety governance in cities.

Suggested Citation

  • Rui Huang & Chaowu Xie & Feifei Lai & Xiang Li & Gaoyang Wu & Ian Phau, 2023. "Analysis of the Characteristics and Causes of Night Tourism Accidents in China Based on SNA and QAP Methods," IJERPH, MDPI, vol. 20(3), pages 1-21, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2584-:d:1053154
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    References listed on IDEAS

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    1. Liu, Chih-Hsing Sam & Chou, Sheng-Fang & Lin, Jun-You, 2021. "Implementation and evaluation of tourism industry: Evidentiary case study of night market development in Taiwan," Evaluation and Program Planning, Elsevier, vol. 89(C).
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    4. Élise Lépy & Sinikka Rantala & Antti Huusko & Pentti Nieminen & Marjo Hippi & Arja Rautio, 2016. "Role of Winter Weather Conditions and Slipperiness on Tourists’ Accidents in Finland," IJERPH, MDPI, vol. 13(8), pages 1-15, August.
    5. Nan Chen & Yahui Wang & Jiaqi Li & Yuqian Wei & Qing Yuan, 2020. "Examining Structural Relationships among Night Tourism Experience, Lovemarks, Brand Satisfaction, and Brand Loyalty on “Cultural Heritage Night” in South Korea," Sustainability, MDPI, vol. 12(17), pages 1-23, August.
    6. Kevin X.D. Huang & Shuangjian Li & Guoqiang Tian, 2021. "Chinese Economy under the New ¡°Dual Circulation¡± Strategy: Challenges and Opportunities¡ªA Summary of the Annual SUFE Macroeconomic Report (2020¨C2021)," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 16(1), pages 1-29, March.
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