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Deep Analysis of the Homogenization Phenomenon of the Ancient Water Towns in Jiangnan: A Dual Perspective on Landscape Patterns and Tourism Destination Images

Author

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  • Xue Chen

    (School of Art, Soochow University, Suzhou 215123, China)

  • Yue Yin

    (School of Art, Soochow University, Suzhou 215123, China)

  • Mu Jiang

    (School of Art, Soochow University, Suzhou 215123, China)

  • Hong Lin

    (School of Art, Soochow University, Suzhou 215123, China)

Abstract

Attractiveness plays a key role in the marketing activities that promote the sustainable development of tourist destinations. Many researchers have acknowledged that regional tourist destinations face challenges in attracting tourists due to homogeneity. Achieving sustainability of the ecological landscapes of tourist destinations, creating a unique image that differentiates them from other destinations, and fostering cooperative relationships among regional tourist destinations remain significant challenges. To investigate the reasons behind this and potential solutions to the homogeneity of tourist attractions in regional tourist destinations, our research team employed methods including landscape pattern analysis, tourist destination image analysis, principal component analysis (PCA), clustering algorithm (K-means), text analysis, word frequency analysis, sentiment analysis, and semantic network analysis. Through an in-depth examination of the homogenization phenomenon in the ancient towns of the southern Yangtze River, our research confirms that the spatial form of these ancient towns has become increasingly simple and scattered over time, with a concentration of the same land use types. Half of the sampled ancient towns had exhibited homogeneity in landscape patterns by 2020, with pronounced homogeneity observed in cultivated land, water networks, and hand-made land. Excessive commercialization has further contributed to the loss of local characteristics, resulting in homogeneity issues in the image of tourist destinations in the Jiangnan water towns and ancient towns. This article discusses the characteristics of homogeneity in the ancient towns of the Jiangnan water towns and their practical implications, offering valuable insights and experiences to tourism planners, designers, researchers, and other stakeholders engaged in the study of sustainable regional tourism destinations.

Suggested Citation

  • Xue Chen & Yue Yin & Mu Jiang & Hong Lin, 2023. "Deep Analysis of the Homogenization Phenomenon of the Ancient Water Towns in Jiangnan: A Dual Perspective on Landscape Patterns and Tourism Destination Images," Sustainability, MDPI, vol. 15(16), pages 1-28, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12595-:d:1220775
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    References listed on IDEAS

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    1. Ezwani Azmi & Rosniza Aznie Che Rose & Azahan Awang & Azlan Abas, 2023. "Innovative and Competitive: A Systematic Literature Review on New Tourism Destinations and Products for Tourism Supply," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    2. Jianfeng Wu & Lingyan Zhang & Chunfu Lu & Lekai Zhang & Yaya Zhang & Qingli Cai, 2022. "Exploring Tourists’ Intentions to Purchase Homogenous Souvenirs," Sustainability, MDPI, vol. 14(3), pages 1-19, January.
    3. Sonali Sharma & Pawan Kumar Joshi & Christine Fürst, 2022. "Exploring Multiscale Influence of Urban Growth on Landscape Patterns of Two Emerging Urban Centers in the Western Himalaya," Land, MDPI, vol. 11(12), pages 1-23, December.
    4. Choi, Jeong Gil & Tkachenko, Tamara & Sil, Shomir, 2011. "On the destination image of Korea by Russian tourists," Tourism Management, Elsevier, vol. 32(1), pages 193-194.
    5. Yasuo Ohe, 2022. "Investigating farmer’s identity and efficiency of tourism-oriented farm diversification," Tourism Economics, , vol. 28(2), pages 535-558, March.
    6. Költringer, Clemens & Dickinger, Astrid, 2015. "Analyzing destination branding and image from online sources: A web content mining approach," Journal of Business Research, Elsevier, vol. 68(9), pages 1836-1843.
    7. Meena Rambocas & João Gama, 2013. "Marketing Research: The Role Of Sentiment Analysis," FEP Working Papers 489, Universidade do Porto, Faculdade de Economia do Porto.
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    1. Yuqing Zhang & Jiaxin Huang & Kun Zhang & Yuhan Guo & Di Hu & Zhang Wang, 2025. "Evaluation of Regional Characteristics of Rural Landscapes in the Yangtze River Delta from the Perspective of the Ecological–Production–Living Concept," Sustainability, MDPI, vol. 17(11), pages 1-37, May.

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