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基于多元协同视角的长江经济带城市旅游时空研究
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摘要
长江经济带是我国新一轮改革开放战略的重要支撑带,城市旅游作为经济发展的重要支柱产业,对区域经济发展具有重大的影响。在分析城市旅游的影响人口、空间流量、最短路径的基础上,明确提出城市旅游协同度的概念,构建城市旅游协同度模型。综合运用熵权法、主成分分析法和网络分析法,以长江经济带36个地级以上城市为研究对象,沿着我国城市旅游发展的时间线索(1990年、1999年、2008年、2014年),探究长江经济带城市旅游协同发展的时空结构与发展模式。研究表明:城市旅游的发展类型按其协同度由高到低依次分为协同型、整合型、肇基型和散漫型四种;从1990—2014年,长江经济带城市旅游协同发展类型从散漫型逐渐向整合型、协同型转变,城市旅游协同发展是大势所趋;城市旅游从最初的追求经济协同,到现在追求经济、社会、文化、环境等多元协同发展,表明城市旅游协同度的时空结构演化符合我国城市旅游发展的基本规律。
Yangtze River economic belt is the important support belt in the new round of reform and opening-up strategy of China. As the important pillar industry of economic development,urban tourism has a significant impact to the regional economic development. On the analysis of the influencing population,space flow,and shortest path of urban tourism,the paper explicitly proposed the concept of collaboration degree of urban tourism,creatively constructed the collaboration degree measure model ofurban tourism. Taking36 prefecture level cities of Yangtze River economic belt as the research object,spatial-temporal structures and development patterns of Urban tourismcoordinate development of Yangtze River economic belt in 1990, 1999, 2008, and 2014 were explored, with the method of entropy,principalcomponent analysis and networkanalysis. The research showed that:( 1) the development patterns of urban tourismcan be divided intocollaboration pattern,integrationpattern,basic pattern,and unorganized pattern according to the collaboration degree;( 2) the collaborative developmentpatterns of urban tourism was transforming from unorganized pattern to collaboration pattern between 1990 to 2014,the collaborative development of urban tourism is the wave of the future;( 3) from the original pursuit of economic coordination to the pursuit of economic, social, cultural,environmental multiple collaborative development,the spatial-temporal structureevolution of urban tourism followed the basic law of urban tourism development in China.
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    (1)由于重庆市下辖20多个县,行政区域过大,与其他城市的情况存在差异,所以主要选取重庆市主城9个市辖区的数据作为重庆市的指标数据。
    (2)长江经济带各城市之间的交通方式,以铁路和公路运输量最大,占总量的90%以上,因此将铁路和公路系统作为路径测算的对象。
    (1)上游:攀枝花、成都、宜宾、泸州、重庆、恩施、宜昌;中游:荆州、岳阳、咸宁、武汉、黄冈、鄂州、黄石、九江;下游:安庆、池州、铜陵、芜湖、合肥、马鞍山、南京、扬州、镇江、泰州、常州、无锡、苏州、南通、上海、湖州、嘉兴、杭州、绍兴、宁波、舟山。

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