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| 基于模糊物元模型的中国旅游生态安全评价及障碍因子诊断研究 | |
| 引用本文： | 徐少癸,左逸帆,章牧.基于模糊物元模型的中国旅游生态安全评价及障碍因子诊断研究[J].地理科学,2021,41(1):33-43. |
| 作者姓名： | 徐少癸 左逸帆 章牧 |
| 作者单位： | 1.暨南大学管理学院，广东 广州 510631 2.暨南大学深圳旅游学院，广东 深圳 518053 |
| 基金项目： | 文化和旅游部专业研究生重点研究扶持项目 |
| 摘 要： | 基于DPSIR模型构建旅游生态安全评价指标体系，利用模糊物元模型对中国31个省（市、区）（不含港澳台）旅游生态安全进行动态评价，并运用空间自相关分析空间格局演化特征。同时借助障碍度模型，对旅游生态安全的障碍因子进行诊断。结果表明:① 旅游生态安全呈现出波动增长的“W”型演化趋势。2013—2016年中国旅游生态安全在空间上呈现出“东部高、西部低”的分布格局，但随着时间推移，出现“北部高、南部低；中间高、两边低”的格局变化；② 从全局来看，2013—2017年中国旅游生态安全在空间上呈现出显著的空间集聚分布的特点，但集聚程度有逐渐下降的态势。从局部关联来看，各省旅游生态安全空间分布存在着空间集聚特征和省域间的空间依赖性；③ 各省旅游生态安全障碍因子存在显著差异，障碍度高于10%的障碍因子较多，主要的障碍因子有旅游经济密度、游客密度、烟尘排放、生活垃圾处理率和污水处理率等。因此，在大力发展旅游业时，需充分考虑经济发展程度和旅游生态安全提升能力；同时还要注意旅游政策与环境保护政策的协调性。 |
| 关 键 词： | 旅游生态安全 障碍因子 DPSIR模型 模糊物元模型 |
| 收稿时间： | 2020-11-25 |
| 修稿时间： | 2021-01-05 |
Evaluation of Tourism Ecological Security and Diagnosis of Obstacle Factors in China Based on Fuzzy Object Element Model |
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| Xu Shaogui,Zuo Yifan,Zhang Mu.Evaluation of Tourism Ecological Security and Diagnosis of Obstacle Factors in China Based on Fuzzy Object Element Model[J].Scientia Geographica Sinica,2021,41(1):33-43. | |
| Authors: | Xu Shaogui Zuo Yifan Zhang Mu |
| Institution: | 1. School of Management, Jinan University, Guangzhou 510631, Guangdong, China 2. Shenzhen Tourism College, Jinan University, Shenzhen 518053, Guangdong, China |
| Abstract: | Based on the DPSIR model,a tourism ecological safety evaluation index system is constructed,and the dynamic evaluation of tourism ecological safety in 31 provinces(municipalities and districts)of China(excluding Hong Kong,Macao and Taiwan)is carried out using the fuzzy object element model,and the spatial autocorrelation is applied to analyze the evolutionary characteristics of the spatial pattern.At the same time,the obstacle factors of tourism ecological safety were diagnosed with the help of the obstacle degree model.The results show that:1)Tourism ecological safety shows a“W”-shaped evolutionary trend,generally in a good trend of fluctuation weakening and steady improvement.From 2013 to 2016,each province showed a spatial distribution pattern of“high in the east and low in the west”,with an overall gradient distribution pattern from coastal to inland.However,over time,the pattern of“high in the north,low in the south;high in the middle,low on both sides”has changed,with the overall Euclidean proximity of tourism ecological safety in each province increasing and the gap between regions narrowing.2)From a global perspective,the spatial distribution of tourism ecological safety in China from 2013 to 2017 is characterized by significant spatial clustering,but the spatial correlation of tourism ecological safety in each province has weakened and the degree of clustering has gradually decreased.In terms of local correlations,the spatial distribution of tourism ecological safety in China’s 31 provinces(municipalities and districts)is characterized by spatial agglomeration and inter-provincial spatial dependence.Most of the provinces show a strong local autocorrelation in tourism ecological safety,with a relatively stable overall pattern.A small number of provinces show negative correlation and significant spatial heterogeneity.3)There are significant differences in tourism ecological safety obstacle factors among provinces,with more obstacle factors having an obstacle degree higher than 10%.The main obstacle factors are tourism economic density,tourist density,smoke and dust emission,domestic waste disposal rate and sewage disposal rate.The tourism ecosystem is a complex and integrated system composed of natural,social and economic elements.Therefore,when vigorously developing tourism,the degree of economic development and the ability to enhance tourism ecological safety need to be fully considered;attention should also be paid to the coordination between tourism policies and environmental protection policies. |
| Keywords: | tourism ecological safety barrier factors DPSIR model fuzzy object element model |
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