地理科学 ›› 2015, Vol. 35 ›› Issue (10): 1265-1271.doi: 10.13249/j.cnki.sgs.2015.010.1265

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基于居民个体的城市虚-实空间关联指标研究——以南京市为例

翟青1(), 甄峰2,3(), 陈映雪4   

  1. 1.南京邮电大学地理与生物信息学院,江苏 南京 210046
    2.南京大学建筑与城市规划学院,江苏 南京 210093
    3. 南京大学人文地理研究中心,江苏 南京 210093
    4.上海市规划编审中心,上海 200001
  • 收稿日期:2014-06-25 修回日期:2014-12-25 出版日期:2015-10-25 发布日期:2015-10-25
  • 作者简介:

    作者简介:翟 青(1984-),女,江苏南京人,博士研究生,研究方向为移动信息时代城市空间结构。E-mail:kuertan@163.com

  • 基金资助:
    国家自然科学基金项目 (40971094)、江苏省社科项目(2011ZDIXM002)、南京邮电大学信息文科建设工程项目(XJ03201)资助

Index of Space Relevance Between Physical and Network Spaces on A Micro-level Basis: A Case Study of Metropolitan Nanjing

Qing ZHAI1(), Feng ZHEN2,3(), Ying-xue CHEN4   

  1. 1.College of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210046,China
    2.School of Architecture and Urban Planning, Nanjing University, Nanjing, Jiangsu 210093,China
    3.Human Geography Research Center, Nanjing University, Nanjing,Jiangsu 210093,China
    4.Shanghai Planning Inventory and Regulation Center, Shanghai 200001, China
  • Received:2014-06-25 Revised:2014-12-25 Online:2015-10-25 Published:2015-10-25

摘要:

信息技术对城市空间结构的影响一直是地理学关注的话题。随着信息技术的革新及其在社会生活中的普及应用,地理学者开始将研究视角从空间转向网络用户。引入信息科学领域的“地理关联”概念,通过南京居民问卷调查获得973个样本数据,采用结构方程模型分析,尝试从微观个体角度探索基于居民个体的虚-实空间的关联指标。结果发现:居民信息化程度、居民信息化认知、居民信息化习惯、居民流动性是微观层面虚-实空间关联的主要指标;居民流动性是空间关联最重要的衡量指标,其次是居民信息化认知、居民信息化习惯、居民信息化程度;工作地是最能展示网络空间与实体空间紧密关联的场所类型。

关键词: 信息技术, 网络空间, 实体空间, 空间关联, 结构方程模型

Abstract:

With the continuous penetration of information and communication technology (ICT) in today’s society as well as its progressive development, research into the urban spatial structure influenced by ICT has attracted the attention of geographers. As ICT is integrated into the various aspects of the life and profession of individuals, each person has become an important medium for exploring the relationship between physical and network spaces. Consequently, research focus has shifted from such spaces to Internet users. Geographical space research is influenced by the rapid changes in social phenomena. Thus, new data, methods, and ideas are needed to further explore the relationship between network and physical spaces at the micro level.This article introduces the novel notion of “geography relevance” from the field of information science to the space research on information geography. We determine the level of cyberspace activity of urban residents from the micro-perspective of individuals and explore the index of space relevance between network and physical spaces. The aim is to highlight the role and position of the level of resident information and mobility in space research. With the city of Nanjing as an example, we conduct an urban resident survey using a questionnaire and obtain 973 samples for the database. Three indicators, namely, residence, workplace, and mobility network activities are adopted to measure the relevance between physical and network spaces. An index of resident information is constructed from two aspects: information level of urban residents and mobility. The index mainly includes the willingness of residents to share information, the degree of information sharing, residents’ information cognition, the residents’ habit of information sharing, the devices used for information sharing, information dissemination and acquisition, and mobility. The conclusions are as following . First, the index of space relevance between network and physical spaces at the micro level includes the degree of information sharing, residents’ information cognition, residents’ habit of information sharing, and mobility (p< 0.05). Second, mobility is the most important metric in space relevance, followed by residents’ information cognition, residents’ habit of information sharing, and the degree of information sharing. Third, the workplace is the most typical setting that demonstrates the close link between network and physical spaces. and enriches the perceived function of physical spaces.

Key words: information technology, network space, physical space, space relevance, structural equation model

中图分类号: 

  • F590