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[1]王兆峰.基于交通通达性的城市群旅游流时空演化特征分析[J].长安大学学报(社科版),2019,21(02):18-29.
　WANG Zhaofeng.Analysis of the temporal and spatial evolutionary characteristics of urban tourist flow based on traffic accessibility[J].Journal of Chang＇an University(Social Science Edition),2019,21(02):18-29.
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基于交通通达性的城市群旅游流时空演化特征分析(PDF)
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《长安大学学报（社科版）》[ISSN:1671-6248/CN:61-1391/C]

卷:
第21卷
期数:
2019年02期
页码:
18-29
栏目:
交通运输
出版日期:
2019-03-15

文章信息/Info

Title:
Analysis of the temporal and spatial evolutionary characteristics of urban tourist flow based on traffic accessibility
文章编号:
1671-6248(2019)02-0018-12
作者:
王兆峰
湖南师范大学 旅游学院，湖南 长沙410081
Author(s):
WANG Zhaofeng
School of Tourism Studies，Hunan Normal University，Changsha 410081，Hunan，China:
关键词:
交通通达性; 旅游流; 空间格局; 环长株潭城市群; 高铁
Keywords:
accessibility; tourist flow; urban agglomeration; spatial pattern; urban cluster of Changsha-Zhuzhou-Xiangtan;  high-speed railway
分类号:
F512.7；F592.7
DOI:
-
文献标志码:
A
摘要:
旅游流一直是旅游地理学关注的核心问题之一,以环长株潭城市群为研究对象，应用GIS空间分析法和网络分析法分析基于公路、普通铁路、高铁站点的城市群旅游流联系强度及空间格局演化特征。研究表明：研究期内，环长株潭城市群交通通达性不断提高，空间分布整体呈现东高西低的格局，公路通达性呈“核心-边缘”结构明显；城市群旅游流联系总量的增幅与不同交通方式通达性的提升幅度存在较强的耦合性；2005～2017年间，基于不同交通方式的环长株潭城市群旅游流强度空间格局总体变化较小，城市群东部旅游流联系强度较高，长沙是旅游流聚集的核心地带，岳阳、株洲、衡阳为次核心地带，沿京广线形成一条强旅游流联系的轴线，局部地区旅游流联系格局变化明显；旅游流联系的分布格局与铁路通达性的空间格局契合度更高，与公路契合度较差，旅游流的聚集核心与铁路通达性的核心区域更为相符。
Abstract:
Tourist flow has always been one of the core issues of tourism geography. This paper takes the urban cluster of Changsha，Zhuzhou and Xiangtan as the research object，and uses GIS spatial analysis and network analysis to analyze the tourist flow of urban agglomerations based on highways，ordinary railways and high-speed railway train stations as well as related spatial evolutional characteristics of spatial structure. The research shows that: during the study period, the traffic accessibility of the urban area of Changsha-Zhuzhou-Xiangtan has been continuously improved, and the spatial distribution has a pattern of high-east and low-west. The accessibility of the highway has a distinction between the core area and peripheral area. There is a strong coupling between the increase in the total amount of tourist flow in urban agglomerations and the improvement in the accessibility of different modes of transportation. During the period of 2005~2017，the spatial pattern of tourist flow intensity in the Changsha-Zhuzhou-Xiangtan urban agglomeration based on different modes of transportation was relatively small，and the intensity of tourist flow in the eastern part of the urban agglomeration was relatively high. Changsha was the core area of tourist flow gathering，with Yueyang, Zhuzhou and Hengyang as the sub-core zones，forming an axis of strong tourist flow along the Beijing-Guangzhou line. The contact pattern of tourist flows in some areas is obviously changed. The distribution pattern of tourist flow links is more compatible with the spatial pattern of railway accessibility，while much less compatible with the road. The compact area of tourist flow is comparatively more consistent with the most accessible railway lines.

参考文献/References:

 ［1］马耀峰,李天顺,刘新平.旅华游客流动模式系统研究［M］.北京：高等教育出版社,2001.
［2］汪德根,陈田,陆林,等.区域旅游流空间结构的高铁效应及机理——以中国京沪高铁为例［J］.地理学报,2015,70(2):214-233.
［3］吴晋峰,潘旭莉.入境旅游流网络与航空网络的关系研究［J］.旅游学刊,2010,25(11):39-43.
［4］王兆峰.入境旅游流与航空运输网络协同演化及差异分析——以西南地区为例［J］.地理研究,2012,31(7)：1328-1338.
［5］Papatheodorou A,Arvanitis P. Spatial evolution of airport traffic and air transport liberalization：the case of Greece［J］.Journal of Transport Geography,2009,17(5)：402-412.
［6］Thomas B,Andreas W. Air transport and tourism：perspectives and challenges for destinations,airlines and governments［J］.Journal of Air Transport Management,2006,12(1)：40-46.
［7］Jameel K,Boopen S. The role of transport infrastructure in international tourism development：a gravity model approach［J］.Tourism Management,2008,29(4)：831-840.
［8］Papatheodorou A,Lei Z.Leisure travel in Europe and airline business models：a study of regional airports in Great Britain［J］.Journal of Air Transport Management,2006,12(1)：47-52.
［9］Noboru H. Highspeed railway construction in Japan and its socioeconomic impact［J］. Journal of Urban and Regional Planning, 2011, 4(3)：132-156.
［10］Huang X K,Zhang L F,Ding Y S.The Baidu index：uses in predicting tourism flows：a case study of the forbidden city［J］.Toursim Management,2016,58：301-316.
［11］阎友兵,贺文娟.国内旅游流流量与流质的时空演化分析［J］.经济地理,2014,33(4)：179-185.
［12］Lundgren J O J. Geographical concepts and the development of tourism research in Canada ［J］. GeoJournal,1984,9 (1)：17-25.
［13］翁钢民,李凌雁.区域旅游流网络结构与环境响应研究——以京津冀地区为例［J］.地理与地理信息科学,2015,31(1)：60-63.
［14］汪德根.武广高速铁路对湖北省区域旅游空间格局的影响［J］.地理研究,2013,32(8)：1555-1564.
［15］吴必虎,唐俊雅,黄安民,等.中国城市居民旅游目的地选择行为研究［J］.地理学报,1997,52(2)：97-103.
［16］戢晓峰,刘传颖,李杰梅.旅游业驱动的区域航空网络时空演化特征［J］.经济地理,2017,37(11)：206-212.
［17］陈伟,修春亮,陈金星,等.中国城市间交通流强度的空间格局［J］.人文地理,2015,30(4)：116-122.
［18］陈伟,修春亮,柯文前,等.多元交通流视角下的中国城市网络层级特征［J］.地理研究,2015,34(11):2073-2083.
［19］李涛,曹小曙,黄晓燕.珠江三角洲交通通达性空间格局与人口变化关系［J］.地理研究,2012,31(9):1661-1672.
［20］杨春华,吴晋峰,周芳如,等.铁路通达性变化对区域旅游业的影响——以京津冀、长三角地区对比为例［J］.经济地理,2018,38(2):188-196.
［21］王妙妙,曹小曙.基于交通通达性的关中—天水经济区县际经济联系测度及时空动态分析［J］.地理研究,2016,35(6):1107-1126.
［22］邓祖涛,周玉翠,梁滨.武汉城市圈旅游流集聚扩散特征及路径分析［J］.经济地理,2014,34(3) ：170-175.
［23］Williams A V,Zelinsky W. On some patterns of international tourist flows［J］.Economic Geography,1970，46(4) ：549-567.

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备注/Memo

备注/Memo:
国家自然科学基金项目（41771162）；湖南省软科学基金重点项目（2017ZK3063）作者简介：王兆峰（1965-），男，湖南桑植人，教授，博士研究生导师，管理学博士。
更新日期/Last Update: 2019-05-15