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作 者:麻学锋 于美琪 MA Xuefeng;YU Meiqi(School of Public Administration and Human Geography,Hunan Technology and Business University,Changsha 410205,China;School of Science,Hunan Technology and Business University,Changsha 410205,China)
机构地区:[1]湖南工商大学公共管理与人文地理学院,长沙410205 [2]湖南工商大学理学院,长沙410205
出 处:《地域研究与开发》2023年第3期135-141,共7页Areal Research and Development
基 金:国家自然科学基金项目(42171235);湖南省教育厅项目(21A0378)。
摘 要:基于协同耦合视角探讨综合交通与旅游产业集聚的适配机理,并从县域尺度构建交通优势度模型,应用耦合协调模型、探索性空间分析、逐步回归及空间计量模型探究2000—2019年大湘西交通优势度与旅游产业集聚适配的空间演化特征及驱动因素。结果表明:(1)区域交通优势度与旅游产业集聚失配现象逐步改善,适配均衡性逐渐提升,形成以永定区、凤凰县、吉首市为核心的圈层结构。(2)适配水平整体具有明显空间相关性,局部集聚模式多元化,表现为由慈利县、花垣县、吉首市向辰溪县、洪江市降低趋势。(3)区域创新效率、旅游资源丰富度、城镇化水平等对交通优势度与旅游产业集聚适配有显著促进作用,产业结构水平始终是影响适配的主导因素。Discuss the adaptation mechanism of integrated transportation and tourism industry agglomeration based on the perspective of synergy and coupling,and build a transportation dominance model based on the county scale,and apply the coupling coordination model,exploratory data analysis,stepwise regression and spatial measurement model to explore the evolutionary characteristics and driving factors of the adaptation space between the traffic dominance and the agglomeration of the tourism industry in the western Hunan region from 2000 to 2019.The results show that:(1)The mismatch between regional transportation advantage and tourism industry agglomeration has gradually improved,and the balance of adaptation has gradually improved,forming a circle structure with Yongding District,Fenghuang County,and Jishou City as the core.(2)The overall adaptation level has obvious spatial correlation,and the local agglomeration mode is diversified,which is manifested as a downward trend from Cili County,Huayuan County,Jishou City to Chenxi County and Hongjiang City.(3)The efficiency of regional innovation,the abundance of tourism resources,and the level of urbanization have significantly promoted the adaptation of transportation advantages and the agglomeration of tourism industries.The level of industrial structure has always been the dominant factor affecting adaptation.
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