地理科学进展 ›› 2016, Vol. 35 ›› Issue (7): 829-838.doi: 10.18306/dlkxjz.2016.07.004

• 研究论文 • 上一篇    下一篇

基于SNA的新型集中社区公共空间网络结构优化

邹晴晴1, 王勇1,*(), 李广斌2   

  1. 1. 苏州科技大学建筑与城市规划学院,江苏 苏州 215011
    2. 苏州科技大学地理与资源学系,江苏 苏州 215011
  • 收稿日期:2016-01-01 修回日期:2016-05-01 出版日期:2016-07-20 发布日期:2016-07-20
  • 通讯作者: 王勇 E-mail:brave_king@163.com
  • 作者简介:

    作者简介:邹晴晴(1990-),女,河南周口人,硕士生,从事城乡规划理论与设计研究,E-mail: zouqingqing92@163.com

  • 基金资助:
    基金项目:国家自然科学基金项目(51278319,51578352);江苏省高校哲学社会科学研究项目(2014SJB567);江苏省普通高校研究生科研创新计划项目(KYLX15_1306)

Network structure optimization of public space in new concentrated communities based on SNA

Qingqing ZOU1, Yong WANG1,*(), Guangbin LI2   

  1. 1. School of Architecture and Urban Planning, Suzhou University of Science and Technology, Suzhou 215011,Jiangsu, China
    2. School of Geography and Resources, Suzhou University of Science and Technology, Suzhou 215011, Jiangsu, China
  • Received:2016-01-01 Revised:2016-05-01 Online:2016-07-20 Published:2016-07-20
  • Contact: Yong WANG E-mail:brave_king@163.com
  • Supported by:
    Foundation: National Natural Science Foundation of China, No.51278319, No.51578352; Philosophical and Social Science Foundation of Jiangsu Province, No.2014SJB567; The Graduate Students’ Scientific Research Innovation Project of Education Department of Jiangsu Province, No.KYLX15_1306

摘要:

公共空间并非“存在即合理”。公共空间网络结构效率折射出社会网络的重构能力、社会资本的建构强度、社会秩序的重塑能力。新型集中社区作为近年大量涌现的新型居住形态,正面临社会关系重构的巨大压力。本文运用社会学的网络分析法研究公共空间网络,并对苏州新型集中社区D的公共空间网络结构进行实证分析,其结论为:公共空间网络的关联度为0.216、中心势0.358、小世界值1.978,表明空间网络整体关联度不足,呈现出破碎化的特征;商业空间整合效应的发挥受到业态配置的影响;居民社会属性对空间网络结构特征造成一定影响。最后,基于“社会—空间”互动逻辑,以社会网络重构为导向,从集中安置模式、公共空间网络优化2个层面,提出新型集中社区有待进一步研究的方向,以期为当前及未来的集中社区规划建设和公共空间整体优化提供科学合理的依据。

关键词: 新型集中社区, 公共空间网络, 社会网络分析法(SNA), 量化分析, 苏州市

Abstract:

The efficiency of public space network structure reflects the ability of communities to reconstruct their social network, to accumulate social capital, and to rebuild social order. In recent years, as a new form of living and emerging in large numbers, new concentrated communities are facing enormous pressure in reconstructing social relations. Using Social Network Analysis, this study found that: the public space network correlation degree is 0.216, central potential is 0.358, and small world business value is 1.978. These show that the overall association degree of the spatial network is insufficient and the network is fragmented; the integration effect of commercial space is affected by the configuration of businesses; and the social attributes of residents influence the characteristics of the spatial network structure. Finally, with regard to concentrated resettlement model and pubic space network optimization, the author puts forward the direction of further research of new concentrated communities, in order to provide a scientific basis for the current and future planning and development and overall optimization of public space of concentrated communities.

Key words: new concentrated community, network of public space, Social Network Analysis(SNA), quantitative analysis, Suzhou City