IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i11p8582-d1155477.html
   My bibliography  Save this article

Suitability Assessment Method of Red Tourism Development Using Geospatial and Social Humanity Data: A Case Study of Ruijin City, East China

Author

Listed:
  • Yaozu Qin

    (The Key Laboratory of Digital Land and Resources, East China University of Technology, Nanchang 330013, China
    Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, China)

  • Li Cao

    (Key Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, Ministry of Natural Resources, Changsha 430103, China)

  • Wenjing Li

    (Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, China)

  • Ali Darvishi Boloorani

    (Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran 14178-53933, Iran)

  • Yuan Li

    (Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, China)

  • Xinxin Ke

    (Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, China)

  • Masoud Soleimani

    (Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran 14178-53933, Iran)

  • Qian Yu

    (Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, China)

  • Cuimin Zhou

    (Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, China)

Abstract

It is important to analyze the trend in land use changes and assess the suitability of resource development for protecting natural resources, developing ecological industries, and land use planning issues. Ruijin City is located in South Jiangxi and has abundant resources for red tourism development. By analyzing the landscape changes in land use and the spatial distribution characteristics of local red culture resources, a supervised machine learning-based prediction model was constructed to quantitatively assess the suitability of red tourism development in a geographic information system (GIS) and the R language environment using geographical, economical, and human-related datasets. The results revealed that: (i) the increasing of human activities and economic vitality provide a beneficial social environment for the development of tourism resources; (ii) highly concentrated red resources, or those with special significance, are conducive to developing red tourism resources; (iii) preferentially, central–eastern Ruijin was followed by the extension areas to peripheral towns, which are potentially suitable areas for the development of red scenic spots. Generally, the findings of this study were consistent with the conventional cognitions and lessons on tourism development, and the constructed evaluation system is expected to be promoted to similar research.

Suggested Citation

  • Yaozu Qin & Li Cao & Wenjing Li & Ali Darvishi Boloorani & Yuan Li & Xinxin Ke & Masoud Soleimani & Qian Yu & Cuimin Zhou, 2023. "Suitability Assessment Method of Red Tourism Development Using Geospatial and Social Humanity Data: A Case Study of Ruijin City, East China," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8582-:d:1155477
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/11/8582/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/11/8582/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. J.S. Cramer, 2002. "The Origins of Logistic Regression," Tinbergen Institute Discussion Papers 02-119/4, Tinbergen Institute.
    2. Alphan, Hakan & Karamanli, Esin & Derse, Mehmet Ali & Uslu, Cengiz, 2022. "Analyzing pattern features of urban/rural residential land use change: The case of the southern coast of Turkey," Land Use Policy, Elsevier, vol. 122(C).
    3. Xiaolan Huang & Weicheng Wu & Tingting Shen & Lifeng Xie & Yaozu Qin & Shanling Peng & Xiaoting Zhou & Xiao Fu & Jie Li & Zhenjiang Zhang & Ming Zhang & Yixuan Liu & Jingheng Jiang & Penghui Ou & Wenc, 2021. "Estimating Forest Canopy Cover by Multiscale Remote Sensing in Northeast Jiangxi, China," Land, MDPI, vol. 10(4), pages 1-16, April.
    4. Yi Guo & Jinbo Jiang & Shengchao Li, 2019. "A Sustainable Tourism Policy Research Review," Sustainability, MDPI, vol. 11(11), pages 1-16, June.
    5. Zuo, Bing & Gursoy, Dogan & Wall, Geoffrey, 2017. "Residents’ support for red tourism in China: The moderating effect of central government," Annals of Tourism Research, Elsevier, vol. 64(C), pages 51-63.
    6. Zhao, Shengnan (Nancy) & Timothy, Dallen J., 2015. "Governance of red tourism in China: Perspectives on power and guanxi," Tourism Management, Elsevier, vol. 46(C), pages 489-500.
    7. Ouyang, Xiao & Tang, Lisha & Wei, Xiao & Li, Yonghui, 2021. "Spatial interaction between urbanization and ecosystem services in Chinese urban agglomerations," Land Use Policy, Elsevier, vol. 109(C).
    8. Jin, Yu & Xi, Haonan & Wang, Xuhui & Ren, Xin & Yuan, Libin, 2022. "Evaluation of the Integration Policy in China: Does the Integration of Culture and Tourism Promote Tourism Development?," Annals of Tourism Research, Elsevier, vol. 97(C).
    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. Yao Zhu & Shousheng Chai & Jieqi Chen & Ian Phau, 2024. "How was rural tourism developed in China? Examining the impact of China’s evolving rural tourism policies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 28945-28969, November.
    2. Chen, Yuangong & Chen, Wenli & Gong, Jianzhou & Yuan, Haiwei, 2023. "Uncommonly known change characteristics of land use pattern in Guangdong Province–Hong Kong–Macao, China: Space time pattern, terrain gradient effects and policy implication," Land Use Policy, Elsevier, vol. 125(C).
    3. Suno Wu, Jenny & Barbrook-Johnson, Pete & Font, Xavier, 2021. "Participatory complexity in tourism policy: Understanding sustainability programmes with participatory systems mapping," Annals of Tourism Research, Elsevier, vol. 90(C).
    4. Bieszk-Stolorz Beata & Markowicz Iwona, 2014. "Economical Activity Of The Polish Population," Folia Oeconomica Stetinensia, Sciendo, vol. 14(2), pages 198-210, December.
    5. Emile du Plessis & Ulrich Fritsche, 2025. "New forecasting methods for an old problem: Predicting 147 years of systemic financial crises," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(1), pages 3-40, January.
    6. Jing Zhao & Hui Hu & Jinglei Wang, 2022. "Forest Carbon Reserve Calculation and Comprehensive Economic Value Evaluation: A Forest Management Model Based on Both Biomass Expansion Factor Method and Total Forest Value," IJERPH, MDPI, vol. 19(23), pages 1-15, November.
    7. Yajun Jiang & Yu Guo & Huiling Zhou, 2023. "Residents’ Perception of Tourism Impact, Participation and Support in Destinations under the COVID-19 Pandemic: The Intermediary Role of Government Trust," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    8. Marek Jóźwiak, 2025. "Managing Consumer Attention to Sustainability Cues in Tourism Advertising: Insights from Eye-Tracking Research," Sustainability, MDPI, vol. 17(18), pages 1-20, September.
    9. Kathleen L. Andereck & Christine A. Vogt, 2025. "Effect of Community Place Qualities on Place Value in a Destination," Sustainability, MDPI, vol. 17(10), pages 1-19, May.
    10. Weichen Zhang & Yuyang Fan & Bojie Wang, 2024. "Ecological Network Construction Based on Ecosystem Services and Landscape Pattern Indices in the Tabu River Basin," Land, MDPI, vol. 13(12), pages 1-15, December.
    11. Jin-Chun Huang & Jian Wang & Qiang Nong & Jin-Fei Xu, 2023. "Using a Modified DANP-mV Model to Explore the Improvement Strategy for Sustainable Development of Rural Tourism," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    12. Yang Zhang & Nazhalati Naerkezi & Yun Zhang & Bo Wang, 2024. "Multi-Scenario Land Use/Cover Change and Its Impact on Carbon Storage Based on the Coupled GMOP-PLUS-InVEST Model in the Hexi Corridor, China," Sustainability, MDPI, vol. 16(4), pages 1-22, February.
    13. Yao Zhao & Xiali Shang & Junhui Liang & Zhen Lin & Ziqing Liu, 2025. "Exploring the Potential of Cross-City Recreation to Improve Park Green Space Accessibility: The Case of China’s Capital Economic Circle," Land, MDPI, vol. 14(10), pages 1-25, September.
    14. Aboal, Diego & Crespi, Gustavo & Perera, Marcelo, 2020. "How effective are cluster development policies? Evidence from Uruguay," World Development Perspectives, Elsevier, vol. 18(C).
    15. Li, Yanning & Wood, E.H. & Thomas, R., 2017. "Innovation implementation: Harmony and conflict in Chinese modern music festivals," Tourism Management, Elsevier, vol. 63(C), pages 87-99.
    16. Peng Cao & Xiao Ouyang & Jun Xu, 2022. "How Do Ecosystem Services Affect Poverty Reduction Efficiency? A Panel Data Analysis of State Poverty Counties in China," IJERPH, MDPI, vol. 19(3), pages 1-17, February.
    17. Tan, Yanan & Jiang, Guoliang & Merajuddin, Shaheem Sayed & Zhao, Fang, 2025. "Urbanization and tourism economic development," Finance Research Letters, Elsevier, vol. 73(C).
    18. Wei Han & Yuwei Tang & Jiayu Wang, 2022. "The Effect of Identity Salience on Residents’ Engagement with Place Branding during and Post COVID-19 Pandemic," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    19. María Ángeles Plaza-Mejía & Nuria Porras-Bueno & David Flores-Ruiz, 2020. "The Jungle of Support: What Do We Really Mean When We Say “Residents’ Support”?," Sustainability, MDPI, vol. 12(18), pages 1-27, September.
    20. Wang, Xuhui & Xi, Haonan, 2023. "Carbon mitigation policy and international tourism. Does the European Union Emissions Trading System hit international tourism from member states?," Annals of Tourism Research, Elsevier, vol. 103(C).

    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:15:y:2023:i:11:p:8582-:d:1155477. 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.