SCIENTIA GEOGRAPHICA SINICA ›› 2015, Vol. 35 ›› Issue (10): 1265-1271.doi: 10.13249/j.cnki.sgs.2015.010.1265

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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

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

CLC Number: 

  • F590