【摘要】 旅游生态安全是区域旅游可持续发展的重要组成部分,是旅游学、生态学、社会学等学科交叉研究的重要内容,对其进行定量化分析与评价具有非常重要的研究价值。基于DPSIR模型构建旅游生态安全评价指标体系,利用改进的熵权TOPSIS法和增强回归树模型,对陕西省2010—2019年的旅游生态安全时空演变格局及影响因素进行分析。结果表明:(1)2010—2019年陕西省旅游生态安全水平呈先下降后上升的变化趋势,安全等级从敏感级上升为临界安全级；(2)驱动力系统贴近度呈现波动下降态势,压力系统、状态系统和影响系统整体呈现上升态势,响应系统贴近度呈现先下降再上升再下降再上升的“W”形变化；(3)陕西省各市旅游生态安全在空间上呈现随机分布特征,但逐渐显现出空间负相关趋势；(4)不同因素对陕西省旅游生态安全的影响差异显著,其中环保投入占GDP比重、旅游收入占GDP比重、人口密度、游客接待量与人口比例、单位面积2排放量、森林覆盖率是主要影响因素。更多还原

【Abstract】 Tourism eco-security is an important aspect of the sustainable development of regional tourism, and it represents a key focus at the intersection of tourism, ecology, sociology and other disciplines. Analyzing and evaluating tourism eco-security hold significant research value. A tourism eco-security evaluation index system was constructed based on the DPSIR model. The spatio-temporal evolution patterns and influencing factors of tourism eco-security in Shaanxi Province from 2010-2019 were analyzed using the improved entropy-TOPSIS method and the boosted regression tree model. The results showed that:(1) From 2010 to 2019, the level of tourism eco-security in Shaanxi Province exhibited a trend of initially decreasing and then increasing, with the security level rising from a “sensitive” level to a “critical”level. Among the prefecture-level cities, the tourism eco-security of Ankang, Shangluo, Yan’an and Tongchuan was better, while that of Xianyang, Xi’an and Weinan was relatively poor.(2) The driving force system’s tourism eco-security closeness showed a fluctuating downward trend, while the pressure, state and influence systems exhibited an upward trend. The response system displayed an overall "W"-shaped pattern, characterized by alternating phases of decline and rise.(3) The tourism eco-security of different regions in Shaanxi demonstrated characteristics of random spatial distribution but gradually revealed the tendency towards spatial negative correlation.(4) The influence of different factors on tourism eco-security in Shaanxi Province varied significantly. Among these, the proportion of environmental protection investment to GDP, the proportion of tourism income to GDP, population density, the ratio of tourist reception to population, SO2emissions, and forest coverage emerged as the primary influencing factors.更多还原