期刊论文

Tourism ecological security early warning of Zhangjiajie,China based on the improved TOPSIS method and the grey GM (1,1) model

Liu, C.-L.

中文

应用生态学报

1001-9332

2017

28

11

3731-3739

10.13287/j.1001-9332.201711.017

This work was supported by the National Natural Science Foundation of China (41601143), the Natural Science Foundation of Hunan Province (2015JJ3179), the Scientific Research Project of Education Department of Hunan Province (15C1447), the General Project of Hunan Social Science Achievements Review Committee in 2016 (XSPYBZZ064) and the Youth Science Research Foundation of Central South University of Forestry and Technology (2015QZ004).

本校为第一机构

旅游生态安全预警对旅游地协调生态环境保护与旅游产业快速发展的矛盾,推进区域社会经济持续健康发展具有重要意义.本文基于DPSIR模型,从驱动力、压力、状态、影响、响应5方面构建了张家界市旅游生态安全预警指标体系,在此基础上,运用改进TOPSIS法对2001-2014年张家界市的旅游生态安全警情格局进行评估,并运用灰色GM(1,1)模型对其2015-2020年的警情演变趋势进行预测.结果表明:总体上,2001-2014年,张家界市的旅游生态安全贴近度呈略微上升态势,警度处于"中警".就各子系统而言,2001-2014年,张家界市旅游生态安全驱动力系统和压力系统的警度呈上升趋势,由"轻警"演变成"重警";状态系统和影响系统的警...

Tourism ecological security early warning is of great significance both to the coordination of ecological environment protection and tourism industry rapid development in tourism destination, and the sustainable and healthy development of regional social and economy. Firstly, based on the DPSIR model, the tourism ecological security early warning index system of Zhangjiajie was constructed from 5 aspects, which were driving force, pressure, state, impact and response. Then, by using the improved TOPSIS method, the tourism ecological security si...