地理科学进展 ›› 2015, Vol. 34 ›› Issue (4): 466-472.doi: 10.11820/dlkxjz.2015.04.008

• 大数据与智慧城市 • 上一篇    下一篇

中国城市社区管理与服务的智慧化路径

柴彦威(), 郭文伯   

  1. 北京大学城市与环境学院智慧城市研究与规划中心,北京 100871
  • 出版日期:2015-04-10 发布日期:2015-04-10
  • 作者简介:

    作者简介:柴彦威(1964-),甘肃会宁人,教授,博士生导师,主要研究方向为时间地理学、社会地理学、城市与区域规划, E-mail: chyw@pku.edu.cn

  • 基金资助:
    国家自然科学基金项目(41228001)

Smart management and service of communities in Chinese cities

Yanwei CHAI(), Wenbo GUO   

  1. Center for Research and Planning of Smart Cities, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
  • Online:2015-04-10 Published:2015-04-10

摘要:

智慧城市和人本城市建设的浪潮已经触及到了城市的细胞——社区,智慧社区建设已成为未来10多年中国智慧城市发展的关键所在。在社区网格化管理逐步成熟以及城市社区管理逐步信息化的新背景下,本文从中国城市社区管理与服务发展现状及存在问题出发,提出中国城市社区管理与服务智慧化路径:智慧社区建设应以社区动态规划为引导、以社区网格化管理为依托,通过多网格融合和技术标准建立与互融,实现社区服务精细化。特别强调社区规划应突破社区物理空间,并对社区空间进行重新划分,实现行为空间和社会空间意义上的再社区化;进而实现社区网格的科学划分和动态管理,并基于居民时空间行为的模式挖掘和需求分析,提供社区居民行为引导策略。

关键词: 城市社区, 时空间行为, 日常生活, 智慧社区, 人本社区

Abstract:

The wave of smart city construction and people-oriented development has gradually reached the basic organizational unit of cities: communities, and the building of smart community is considered the key to the smart development of Chinese cities. Based on an analysis of the current situation and existing problems in the development of management and service systems of residential communities in Chinese cities, this article offers the view that the development of smart communities should be guided by dynamic planning and based on a management system using grid data and corresponding tools, and fine tune services through the integration of multiple layers of grid and the development and integration of technological standards. The planning of community management should break the physical boundary of communities and re-divide and recreate the space of communities to form "new communities" in terms of behavioral space and social space, and thus achieve improved division and dynamic management of community grids, as well as change of behavior of residents in the communities based on the analyses of their behavioral patterns in space and time and needs.

Key words: urban community, space-time behavior, geographies of everyday life, smart community, human-oriented community