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Research on Hainan Ecotourism System Early Warning

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 254))

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Abstract

This study analyzes the present situation of Hainan tourism resources; ecological tourism system early warning mechanism is put forward for sustainable development of the tourism industry and includes the tourism industry crisis warning, travel security early warning, and tourism ecological environment. This study expounds the tourism ecosystem health evaluation method based on pressure–state–response model and the capacity calculation model of tourism ecology environment early warning and discusses the requirements of Hainan ecological tourism early warning software system and the target of the software system.

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References

  1. Guo-ji, F.: Natural ecological carrying capacity in Hainan province. J. Nat. Resour. 123(13), 412–421 (2008)

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  2. Yunpin, Y.: Research on tourist environment bearing capacity assessment and ecological security warning system of scenic spots in Tibe. J. Chonging Univ. 92–98 (2012)

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  3. Xin-xiang, C.: A study on ecological security alarm assessment of tourism destination. Environ. Manage. 31(3), 30–43 (2006)

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  4. Chun-yu, Y.: The research on early warning system of eco-tourism environmental caring capacity. Hum. Geogr. 21(5), 46–50 (2006.10)

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Acknowledgments

Thanks to International Science and Technology Cooperation Program of China (2012DFA11270), Hainan International Cooperation Key Project (GJXM201105). And this work is also supported by Hainan Social Development of Science and Technology Projects (SF201329), National Natural Science Foundation of Hainan (No. 612124), and Major Scientific Projects of Haikou (No. 2012-028).

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Authors and Affiliations

  1. School of Information Science and Technology, Hainan Normal University, Haikou, 571158, China

    Xiu-hong Zhang, Song Lin & Mingcai Lin

Authors
  1. Xiu-hong Zhang
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  2. Song Lin
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  3. Mingcai Lin
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Corresponding author

Correspondence to Song Lin .

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Editors and Affiliations

  1. School of Mathematics and Information Science, Key Laboratory of Mathematics and Interdisciplinary Sciences of Guangdong Higher Education Institutes, Guangzhou University, Guangzhou, People's Republic of China

    Bing-Yuan Cao

  2. School of Information Science and Technology, Hainan Normal University, Haikou, People's Republic of China

    Sheng-Quan Ma

  3. Department of Geography, University of Ottawa, Ottawa, Ontario, Canada

    Hu-hua Cao

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Zhang, Xh., Lin, S., Lin, M. (2014). Research on Hainan Ecotourism System Early Warning. In: Cao, BY., Ma, SQ., Cao, Hh. (eds) Ecosystem Assessment and Fuzzy Systems Management. Advances in Intelligent Systems and Computing, vol 254. Springer, Cham. https://doi.org/10.1007/978-3-319-03449-2_9

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  • DOI: https://doi.org/10.1007/978-3-319-03449-2_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03448-5

  • Online ISBN: 978-3-319-03449-2

  • eBook Packages: EngineeringEngineering (R0)

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