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A Study on Cultural Context Perception in Huizhou Cultural and Ecological Reserve Based on Multi-Criteria Decision Analysis

Author

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  • Yanlong Guo

    (Anhui Cultural Tourism Innovative Development Research Institute, Hefei 203106, China
    Social Innovation Design Research Center, Department of Design, Anhui University, Hefei 203106, China)

  • Jiaying Yu

    (Social Innovation Design Research Center, Department of Design, Anhui University, Hefei 203106, China)

  • Han Zhang

    (College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China)

  • Zuoqing Jiang

    (State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, The Chinese Academy of Sciences, Beijing 100093, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100093, China)

Abstract

Tourists’ environmental perception is the decisive factor of cultural tourism experience. Although this topic research is relatively common, there are essential differences between different theme tourism areas. This study selects the national Huizhou Cultural and Ecological Reserve in China as the research object, which has a diverse cultural field, a wide range of researchable levels, and research theoretical support, and focuses on the evaluation of tourists’ environmental perceptions of cultural-themed tourism reserves. The research is in line with the basic consensus of the international community on the relationship between NRM conservation and sustainable development and has a positive significance for cultural conservation. In this study, nine indicators were constructed from the three dimensions of cultural perception, environmental perception, and emotional perception, including mental pleasure, experience comfort, audiovisual richness, cultural awareness, cultural diversity, cultural influence, facilities completeness, environment tidiness, and travel convenience. Questionnaires (283) were distributed, 260 of which were valid. The analytic hierarchy process (AHP) and entropy method were used to study the cultural context perception of Huizhou Cultural Ecological Reserve. The Cronbach coefficient was 0.977, the KMO value was 0.953, and the validity was 91.87%. The research results show that, first, tourists’ perception level from high to low is cultural perception (0.351), environmental perception (0.349), and emotional perception (0.301). Secondly, the factors most strongly perceived by tourists are tourism convenience (0.129), cultural influence (0.126), cultural diversity (0.118), and facilities completeness (0.115). Thirdly, improving tourists’ spiritual pleasure, experience comfort, audiovisual richness, cultural recognition, and environmental cleanliness is conducive to promoting tourists’ perception and experience.

Suggested Citation

  • Yanlong Guo & Jiaying Yu & Han Zhang & Zuoqing Jiang, 2022. "A Study on Cultural Context Perception in Huizhou Cultural and Ecological Reserve Based on Multi-Criteria Decision Analysis," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16790-:d:1003429
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    References listed on IDEAS

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    1. Eugene W. Anderson & Mary W. Sullivan, 1993. "The Antecedents and Consequences of Customer Satisfaction for Firms," Marketing Science, INFORMS, vol. 12(2), pages 125-143.
    2. Choi, Andy S. & Ritchie, Brent W. & Papandrea, Franco & Bennett, Jeff, 2010. "Economic valuation of cultural heritage sites: A choice modeling approach," Tourism Management, Elsevier, vol. 31(2), pages 213-220.
    3. Md. Sahabuddin & Qingmei Tan & Imran Hossain & Md. Shariful Alam & Md. Nekmahmud, 2021. "Tourist Environmentally Responsible Behavior and Satisfaction; Study on the World’s Longest Natural Sea Beach, Cox’s Bazar, Bangladesh," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    4. Xiaoping Gu & Carter A. Hunt & Michael L. Lengieza & Lijun Niu & Huiwen Wu & Yue Wang & Xiang Jia, 2020. "Evaluating Residents’ Perceptions of Nature-Based Tourism with a Factor-Cluster Approach," Sustainability, MDPI, vol. 13(1), pages 1-19, December.
    5. Przemysław Pawelec & Paweł Świder & Wojciech J. Cynarski, 2020. "Martial Arts Tourism: Meta-Analysis of Publications from 2005–2020," Sustainability, MDPI, vol. 12(17), pages 1-13, August.
    6. Amelung, Bas & Nicholls, Sarah, 2014. "Implications of climate change for tourism in Australia," Tourism Management, Elsevier, vol. 41(C), pages 228-244.
    7. Xiang, Zheng & Gretzel, Ulrike, 2010. "Role of social media in online travel information search," Tourism Management, Elsevier, vol. 31(2), pages 179-188.
    8. Pei Lin & Lili Chen & Zeshun Luo, 2022. "Analysis of Tourism Experience in Haizhu National Wetland Park Based on Web Text," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
    9. Stylos, Nikolaos & Vassiliadis, Chris A. & Bellou, Victoria & Andronikidis, Andreas, 2016. "Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination," Tourism Management, Elsevier, vol. 53(C), pages 40-60.
    10. Ying Cao & Mingrui Li & Jianping Zuo, 2022. "Evaluation Analysis and Recommendations for the Development of the Menda Railway Site Based on TOPSIS Model," Sustainability, MDPI, vol. 14(15), pages 1-19, August.
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