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作 者:叶茂 王兆峰[1] 谭勇[2] YE Mao;WANG Zhaofeng;TAN Yong(College of Tourism,Hunan Normal University,Changsha 410081,Hunan,China;Hunan Provincial Institute of Land and Resources Planning,Changsha 410007,Hunan,China)
机构地区:[1]湖南师范大学旅游学院,中国湖南长沙410081 [2]湖南省国土资源规划院,中国湖南长沙410007
出 处:《经济地理》2020年第8期138-144,共7页Economic Geography
基 金:国家自然科学基金项目(41261032、41461032);湖南省国内一流培育学科建设项目(5010002)。
摘 要:经济落后地区交通与旅游发展的演化轨迹具有一定的特殊性,研究二者耦合协调特征与效应具有重要意义。基于协同学视角梳理旅游发展与交通的耦合机理,构建湘西地区交通与旅游系统耦合协调度模型,实证分析该区域交通与旅游系统耦合协调时空演变特征和效应。结果表明:①从时序变化分析来看,2005—2016年湘西地区交通与旅游系统的耦合协调度呈波动发展趋势,表现为先缓慢下降再平稳上升的演变特征,但总体处于较低水平。②从空间格局分析来看,该地区交通与旅游业发展耦合协调度不平衡,呈现出交通业以怀化市为核心、旅游业以张家界为龙头的发展模式,各地区间的差距在不断缩小。③从耦合效应分析得出,湘西地区交通与旅游协调发展经历了要素集聚、要素共生和要素融合,由低级缓慢提升的三个阶段,且每个阶段依次由政府、企业和创新力发挥主导作用。The development and evolution trajectory of traffic and tourism in the economically backward areas has certain particularity,and it is important to study the two coupling characteristics and coordination effect.On the basis of synergetics perspective,elaborating the coordination and coupling mechanism of traffic and tourism,this paper constructed the traffic and tourism system coordination degree model of Xiangxi area and analyzed the evolutionary,coupling characteristics and effect of the coordinated spatial and temporal pattern of traffic and tourism system.The results showed:1)From the analysis of the time series,the coupling and coordination degree of traffic and tourism system in Xiangxi area in 2005 and 2016 presents the trend of fluctuation,which is characterized by slow descent and steady rise.But overall at a low level.2)From the analysis of spatial pattern,the coupling and coordination of transportation and tourism development in the region was unbalanced,which showed that the transportation industry took Huaihua City as the core and the tourism industry took Zhangjiajie as the leading,but the gap between the various regions was narrowing.3)From the analysis of coupling characteristics and effects,the coordinated development of traffic and tourism in Xiangxi area had experienced three stages:factor aggregation,factor symbiosis and factor integration from low to high level.And each stage in turn was by the government,business and innovation to play a leading role.
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