| “交旅”融合下旅游效率与高速交通协调格局研究——以长三角41市为例 |
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| 引用本文： | 郭向阳,穆学青,丁正山,明庆忠. “交旅”融合下旅游效率与高速交通协调格局研究——以长三角41市为例[J]. 地理研究, 2021, 40(4): 1042-1063. DOI: 10.11821/dlyj020200390 |
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| 作者姓名： | 郭向阳 穆学青 丁正山 明庆忠 |
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| 作者单位： | 1.南京师范大学地理科学学院,南京 2100232.江苏省地理信息资源开发与利用协同创新中心,南京 2100233.云南师范大学地理学部,昆明 6505004.云南财经大学旅游文化产业研究院,昆明 650221 |
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| 基金项目： | 江苏省研究生科研创新计划项目(KYCX20_1174);国家自然科学基金项目(41671147);国家自然科学基金项目(41961021) |
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| 摘 要： | 长三角是众多旅游要素的集聚地,高速交通的要素集聚与扩散效应对城市旅游效率增长至关重要.以长三角41市为研究对象,基于多源异构数据构建高速交通与旅游效率评价指标体系,在采用VAR模型验证旅游效率与高速交通关系,以及构建二者耦合机理基础上,综合采用TOPSIS方法、Bootstrap-DEA模型和耦合协调模型对2005-2...
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| 关 键 词： | 交旅融合 旅游效率 高速交通 协调格局 都市圈旅游 长三角地区 |
| 收稿时间： | 2020-05-08 |
The coordination pattern of tourism efficiency and high-speed transportation: A case study of 41 cities in the Yangtze River Delta |
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| GUO Xiangyang,MU Xueqing,DING Zhengshan,MING Qingzhong. The coordination pattern of tourism efficiency and high-speed transportation: A case study of 41 cities in the Yangtze River Delta[J]. Geographical Research, 2021, 40(4): 1042-1063. DOI: 10.11821/dlyj020200390 |
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| Authors: | GUO Xiangyang MU Xueqing DING Zhengshan MING Qingzhong |
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| Affiliation: | 1. School of Geography Science, Nanjing Normal University, Nanjing 210023, China2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China3. Department of Geography, Yunnan Normal University, Kunming 650500, China4. Institute of Tourism and Culture Industry, Yunnan University of Finance and Economics, Kunming 650221, China |
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| Abstract: | Taking 41 cities in the Yangtze River Delta (YRD) as the research object, high-speed transportation and tourism efficiency evaluation index system is constructed based on multi-source heterogeneous data. Using the VAR model to verify the interaction between tourism efficiency and high-speed transportation, and to construct the coupling mechanism between the two, we adopt the TOPSIS method, Bootstrap-DEA model, and coupling coordination model to measure the coupling degree of tourism efficiency and high-speed transportation in the 41 cities in the study area from 2005 to 2016. The kernel density curve and ArcGIS spatial analysis tools are used to examine the trend characteristics, spatio-temporal distribution, and spatial correlation patterns of the coordination between tourism efficiency and high-speed transportation from the perspective of temporal and spatial heterogeneity. The linear regression fitting equations are used to explore the effect of different high-speed transportation modes on tourism efficiency. The research results are as follows: (1) The right tail of the kernel density curve of the coordinated degree between high-speed transportation and tourism efficiency in the YRD is significantly longer, and the waveform of the curve continues to move to the right, indicating that the overall level of coordination continues to rise. (2) The spatial differentiation between tourism efficiency and high-speed transportation coordination is obvious, showing a stepwise gradient from east to west with increasing geographical distance, which is the main direction of the spatial differentiation of coordination; the north-south direction presents an inverted U-shaped distribution, and the coordination degree of southern Jiangsu, northeastern Zhejiang and Shanghai is found at the position of inverted U-shaped valley peaks, which is an advantageous area with the remarkable development of coordination degree. (3) The regional differences of coordination degree show the spatial heterogeneity of “Shanghai > Jiangsu > Zhejiang > Anhui”, and the high-level and low-level coordination areas show a spatial changing trend of “expansion-convergence”. (4) Tourism efficiency and high-speed transportation coordination have significant spatial dependence and spillover effects; the hot spots and sub-hot spots of coordination degree are stable along Shanghai-Nanjing, Shanghai-Hangzhou, Hangzhou-Ningbo and other high-speed rail trunk lines, showing a spatial expansion trend. However, the cold spots and sub-cold spots point to the edge areas of northern Anhui and northern Jiangsu, and space shrinks significantly. (5) The marginal effects of different high-speed transportation modes on tourism efficiency present a differentiated characteristic of“high-speed railway > air transportation > expressway”. |
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| Keywords: | integration of transportation and tourism tourism efficiency high-speed transportation coordination pattern metropolitan tourism Yangtze River Delta region |
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