地理科学 ›› 2021, Vol. 41 ›› Issue (11): 1907-1916.doi: 10.13249/j.cnki.sgs.2021.11.004

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中国中心城市旅游出行的空间分布规律与结构图谱研究

王海江1(), 苏景轩1, 苗长虹2, 袁占良1   

  1. 1.河南理工大学测绘与国土信息工程学院,河南 焦作 454000
    2.河南大学黄河文明与可持续发展研究中心,河南 开封 475001
  • 收稿日期:2020-08-20 修回日期:2020-12-11 出版日期:2021-11-10 发布日期:2022-01-24
  • 作者简介:王海江(1971-),男,河南焦作人,副教授,博士,主要从事经济地理与区域发展研究。E-mail: haijiangwang@126.com
  • 基金资助:
    国家自然科学基金项目(41371133);河南省高校科技创新人才(人文社科类)支持计划(2017-CXRC-013)

Spatial Distribution Law and Its Structure Graph Spectra of China’s Central City Tourism Travel

Wang Haijiang1(), Su Jingxuan1, Miao Changhong2, Yuan Zhanliang1   

  1. 1. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, China
    2. Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, Henan, China
  • Received:2020-08-20 Revised:2020-12-11 Online:2021-11-10 Published:2022-01-24
  • Supported by:
    National Natural Science Foundation of China(41371133);Support Plan for Innovation Talents of Science and Technology (Humanities and Social Sciences) in Colleges and Universities of Henan Province(2017-CXRC-013)

摘要:

通过全国338个地级及以上城市旅游出行大数据,应用基于O-D联系的ArcGIS空间分析和Gephi网络分析,深入挖掘旅游数字足迹所蕴涵的“位空间”与“流空间”信息,全景式解析中国旅游出行的空间分布规律与结构特征。研究显示,全国旅游出行的总体空间分布呈现出“菱形”空间架构。全国旅游出行的“核心-边缘”结构特征显著,国家主要中心城市及城市群在旅游出行方面拥有强大的辐射带动作用。依据旅游出行强度指标,并综合考虑地理区位、空间联系、职能定位等因素,将中心城市按旅游出行能力划分为国家综合中心、国家门户中心、区域中心、省域中心、地方中心5个等级体系,旅游出行的城市等级规模递增特征极其明显。大数据显示,全国旅游出行的适宜距离为600~2 000 km,最佳出行距离为1 200 km,人均旅游出行距离为1 060 km,不同等级中心城市旅游出行随着空间距离增加总体上呈现波动衰减特征。旅游联系网络分析显示,在区域尺度上,全国形成了以北京-天津、上海-杭州、广州-深圳、成都-重庆为核心的4个旅游社团联系网络,区域旅游出行“各自为政”,而大空间尺度上旅游出行是“全国一盘棋”。研究通过划分不同空间距离区段,对中心城市旅游出行分布规律及其社团结构进行多尺度、分层次的扫描式空间解构,从而实现更加精准和细致的空间刻画与结构图谱展现。

关键词: 中心城市, 旅游流, 流空间, 结构图谱, 菱形结构

Abstract:

In this article, “location space” and “flow space” information were mined from travel big data of 338 central cities in China by using OD connection model and Gephi network analysis method. The law of travel space and travel structure of China’s central cities was revealed. The results showed that the form of tourists’ travel space in China’s central cities was diamond-shaped, which was response of new pattern of national strategy to tourist travel. Chinese tourists travelled with a “core-edge” network structure, and central cities and urban agglomerations had a powerful radiation-driven role. According to the index of tourism travel intensity, combined with factors of geographical location, spatial connection and functional orientation, the central cities were classified into 5 kinds of national comprehensive center, national portal center, regional center, provincial center and local center. Big data showed that the reasonable travel distance is 600-2 000 km, the optimal travel distance is 1 200 km and the average travel distance is 1 060 km. Travel of tourists in different levels of central cities was characterized by distance decay. At a regional scale of 500 km, 4 contact networks of tourism associations with Beijing-Tianjin, Shanghai-Hangzhou, Guangzhou-Shenzhen and Chengdu-Chongqing as the core have been formed nationwide, regional tourism travel is characterized by “fragmented”. In the space of 500-1 000 km, the community structure of tourism contact network is not obvious, it’s difficult to distinguish the regional communities. In national scale of more than 1 000 km, the tourist travel network has gradually changed into a multi-core network with the whole country.

Key words: central city, tourism flows, flow space, structure graph spectra, rhombus structure

中图分类号: 

  • K591.99