Based on SPOT5 satellite remote sensing images and land use data in five time phases covering the period 1988–2012, the distribution characteristics, spatial differentiation processes, and driving mechanisms affectin...Based on SPOT5 satellite remote sensing images and land use data in five time phases covering the period 1988–2012, the distribution characteristics, spatial differentiation processes, and driving mechanisms affecting the residential land of the Jinshitan Tourist Resort were studied. The work included a combination of GIS technology, adoption of the differentiation index D, and the multi-group differentiation-measure model D(m). The results provided a basis for the following conclusions: 1) From 1988 to 2012, the degree of differentiation of the rural residential land first decreased, and then increased. The general residential, commercial residential and garden-house land-types all showed declining trends, of which the garden-house type presented the most intense volatility. 2) The overall background of the traditional residential land type was gradually replaced by a new residential land type, and the total area of residential land increased year by year, significantly improving the overall residential conditions. The areas of the new residential land type showed growth, and were increasingly widely distributed in the coastal tourist resorts, transportation corridors, and scenic areas. 3) Government policy, social differentiation, market mechanisms, and individual choices(along with other factors) were mutually promoted, although still restrained. However, all of these factors interacted to constrain the developmental direction and the processes affecting tourism real estate in the Dalian Jinshitan Tourist Resort.展开更多
自2001年9/11事件起,包括非典、巴厘岛爆炸案、亚洲海啸等重大灾难事件极大地打击了世界旅游业,旅游风险问题日益凸显。以2001—2018年"Web of Science核心合集"中296篇与旅游风险研究高度相关论文为基础,对旅游风险研究现状...自2001年9/11事件起,包括非典、巴厘岛爆炸案、亚洲海啸等重大灾难事件极大地打击了世界旅游业,旅游风险问题日益凸显。以2001—2018年"Web of Science核心合集"中296篇与旅游风险研究高度相关论文为基础,对旅游风险研究现状及成果进行了系统性总结和梳理。研究发现:(1)旅游风险研究受到多学科的广泛关注,按照文献数量和研究热点可分为萌芽期(2001—2006年)、蓄势期(2007—2012年)和发展期(2013—2018年)3个阶段;(2)国际旅游风险研究在国家及地区层面上表现出"一超多强"的态势,"一超"为美国,处于合作网络中的中心地位,"多强"为澳大利亚、英国、中国(不含台湾地区);(3)旅游风险研究方法种类丰富,主要涵盖了描述分析、访谈法、模型分析和统计分析4类;(4)旅游风险的相关研究成果主要集中在旅游风险内涵、游客风险、目的地风险、利益相关者风险、宏观背景下的旅游风险5方面。结合国外的研究经验,本文提出未来中国应就完善旅游风险理论体系、深化游客风险感知与行为研究主题、拓宽旅游目的地风险研究思路、重视社区居民在旅游风险管理中的作用、关注宏观背景下的旅游风险5方面加强研究,以促使研究体系完善和优化。展开更多
Tourism has emerged as a major driving force in the growth and expansion of rural settlements. After several studies revealed spatial differentiation of touristization among rural settlements, studies were conducted t...Tourism has emerged as a major driving force in the growth and expansion of rural settlements. After several studies revealed spatial differentiation of touristization among rural settlements, studies were conducted to explain this phenomenon. However, most of these studies explained spatial differentiation of rural touristization in a qualitative way. More robust and detailed quantitative results are needed to evaluate the relative roles of different factors. In this study, which takes Yesanpo tourism as a case study, the Geo-detector method was introduced to evaluate determining factors of rural touristization. Results show that ＂distance to core entry＂, ＂tourist number and sojourn time＂, and ＂distance to the nearest scenic area＂ have had a strong effect on the rural touristization in Ye- sanpo, whereas ＂distance to river＂, ＂elevation＂, ＂distance to main road＂, and ＂slope＂ have had a weak influence. The latter did, however, contribute a lot to touristization when interacting with ＂distance to core entry＂, ＂tourist number and sojourn time＂, and ＂distance to the nearest scenic＂, indicating the importance of these four factors. Higher rural touristization occurred in the zone near the core entry, with many tourists, long sojourn times, and proximity to the scenic area.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41471140)Outstanding Youth Program of Liaoning Province(No.LJQ2015058)
文摘Based on SPOT5 satellite remote sensing images and land use data in five time phases covering the period 1988–2012, the distribution characteristics, spatial differentiation processes, and driving mechanisms affecting the residential land of the Jinshitan Tourist Resort were studied. The work included a combination of GIS technology, adoption of the differentiation index D, and the multi-group differentiation-measure model D(m). The results provided a basis for the following conclusions: 1) From 1988 to 2012, the degree of differentiation of the rural residential land first decreased, and then increased. The general residential, commercial residential and garden-house land-types all showed declining trends, of which the garden-house type presented the most intense volatility. 2) The overall background of the traditional residential land type was gradually replaced by a new residential land type, and the total area of residential land increased year by year, significantly improving the overall residential conditions. The areas of the new residential land type showed growth, and were increasingly widely distributed in the coastal tourist resorts, transportation corridors, and scenic areas. 3) Government policy, social differentiation, market mechanisms, and individual choices(along with other factors) were mutually promoted, although still restrained. However, all of these factors interacted to constrain the developmental direction and the processes affecting tourism real estate in the Dalian Jinshitan Tourist Resort.
文摘自2001年9/11事件起,包括非典、巴厘岛爆炸案、亚洲海啸等重大灾难事件极大地打击了世界旅游业,旅游风险问题日益凸显。以2001—2018年"Web of Science核心合集"中296篇与旅游风险研究高度相关论文为基础,对旅游风险研究现状及成果进行了系统性总结和梳理。研究发现:(1)旅游风险研究受到多学科的广泛关注,按照文献数量和研究热点可分为萌芽期(2001—2006年)、蓄势期(2007—2012年)和发展期(2013—2018年)3个阶段;(2)国际旅游风险研究在国家及地区层面上表现出"一超多强"的态势,"一超"为美国,处于合作网络中的中心地位,"多强"为澳大利亚、英国、中国(不含台湾地区);(3)旅游风险研究方法种类丰富,主要涵盖了描述分析、访谈法、模型分析和统计分析4类;(4)旅游风险的相关研究成果主要集中在旅游风险内涵、游客风险、目的地风险、利益相关者风险、宏观背景下的旅游风险5方面。结合国外的研究经验,本文提出未来中国应就完善旅游风险理论体系、深化游客风险感知与行为研究主题、拓宽旅游目的地风险研究思路、重视社区居民在旅游风险管理中的作用、关注宏观背景下的旅游风险5方面加强研究,以促使研究体系完善和优化。
基金National Natural Science Foundation of China(41671151)
文摘Tourism has emerged as a major driving force in the growth and expansion of rural settlements. After several studies revealed spatial differentiation of touristization among rural settlements, studies were conducted to explain this phenomenon. However, most of these studies explained spatial differentiation of rural touristization in a qualitative way. More robust and detailed quantitative results are needed to evaluate the relative roles of different factors. In this study, which takes Yesanpo tourism as a case study, the Geo-detector method was introduced to evaluate determining factors of rural touristization. Results show that ＂distance to core entry＂, ＂tourist number and sojourn time＂, and ＂distance to the nearest scenic area＂ have had a strong effect on the rural touristization in Ye- sanpo, whereas ＂distance to river＂, ＂elevation＂, ＂distance to main road＂, and ＂slope＂ have had a weak influence. The latter did, however, contribute a lot to touristization when interacting with ＂distance to core entry＂, ＂tourist number and sojourn time＂, and ＂distance to the nearest scenic＂, indicating the importance of these four factors. Higher rural touristization occurred in the zone near the core entry, with many tourists, long sojourn times, and proximity to the scenic area.
