主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

World Regional Studies ›› 2019, Vol. 28 ›› Issue (5): 95-105.DOI: 10.3969/j.issn.1004-9479.2019.05.2018154

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Temporal and spatial characteristics of urban recreation behavior based on digital footprints ——A case study of Shanghai

Zhen LIU1(), Zefan DAI1, Jiajun LOU1(), Song LIU1,2   

  1. 1.School of Business, East China Normal University, Shanghai 200062, China
    2.College of Economy and Management, Changzhou Institute of Technology, Changzhou 213022, China
  • Received:2018-04-13 Revised:2018-08-08 Online:2019-10-15 Published:2020-03-27
  • Contact: Jiajun LOU

基于数字足迹的城市游憩行为时空特征研究

刘震1(), 戴泽钒1, 楼嘉军1(), 刘松1,2   

  1. 1.华东师范大学工商管理学院,上海 200062
    2.常州工学院经济与管理学院,江苏 常州 213022
  • 通讯作者: 楼嘉军
  • 作者简介:刘震(1993-),男,博士研究生,主要研究方向为旅游产业发展,E-mail:peterliuz@foxmail.com
  • 基金资助:
    教育部人文社会科学研究青年基金项目(17YJC630088)

Abstract:

Based on the digital footprints derived from Ctrip, this paper uses the method of concentration index, peak index, and social network theory to compare the differences in temporal and spatial characteristics of recreation behavior between residents and tourists. The results show that: (1) Shanghai residents prefer to recreation in summer and autumn. Meanwhile, they are more likely to choose daily leisure time to recreation. The concentration index of tourist is relatively high, and tourists flow presents dynamic seasonal features. There is an obvious peak phenomenon during Golden Weak and winter and summer vacation.(2) Shanghai residents have preference for entertainment and leisure recreation attractions, whereas tourists lean towards famous sightseeing and tourist recreation attractions. (3) The density of residents' recreation network is comparatively high. The core scenic spots play a crucial role in the network to bring more residents to other spots. Accordingly, scenic spots in different regions are tightly tied to each other. By contrast, the tourist recreation network is a "multi-core" pattern, which some spots in downtown area occupy the center position in the network and have intense connections with each other while the radiation of them are still weak. These results could provide corresponding reference for the improvement in local recreation management.

Key words: digital footprint, recreation behavior, temporal and spatial characteristics, Shanghai, Ctrip

摘要:

以上海为案例,通过携程网采集数字足迹,运用集中指数、峰值指数和社会网络分析法,从时空二元视角比较居民与游客两类典型城市游憩者的行为特征。研究表明:1)居民在夏季和秋季有明显的户外游憩倾向,通常选择在非节假日出游;游客出游时间的集中指数较高,季节波动性较强,容易在寒暑假和黄金周期间形成客流高峰;2)康娱休闲类游憩资源深受本地居民喜爱;游客更偏爱知名度较高的观光旅游类游憩资源;3)居民游憩网络密度较高,核心景点的辐射能力较强,不同区域景点之间联动明显;游客游憩网络呈现小范围、多中心的空间形态,市中心的多个景点占据了重要的核心位置,彼此之间联系密切,但对其他资源的带动能力不强。

关键词: 数字足迹, 游憩行为, 时空特征, 上海, 携程网