测绘通报 ›› 2017, Vol. 0 ›› Issue (8): 100-105.doi: 10.13474/j.cnki.11-2246.2017.0263

• 技术交流 • 上一篇    下一篇

空间大数据支持下的城市区域评估及其关键技术

孔令彦, 关丽, 丁燕杰, 陈思   

  1. 北京市测绘设计研究院, 北京 100038
  • 收稿日期:2016-12-12 出版日期:2017-08-25 发布日期:2017-08-29
  • 作者简介:孔令彦(1979-),男,硕士,高级工程师,主要从事地理信息服务相关工作。E-mail:kongly@163.com
  • 基金资助:
    北京市科学计划课题(Z151100002115057)

Urban Examination Evaluation System and Its Key Technologies Based on Spatial Big Data

KONG Lingyan, GUAN Li, DING Yanjie, CHEN Si   

  1. Beijing Institute of Surveying and Mapping, Beijing 100038, China
  • Received:2016-12-12 Online:2017-08-25 Published:2017-08-29

摘要: 针对人口拥挤、交通拥堵、环境污染、住房困难等一系列"城市病"问题,为了客观、定量评估城市现状,找到"城市病"根源,本文面向城市区域评估,利用空间大数据全面、客观、准确的特点,对城市进行全方位的评估,从人口、资源、环境、住房、公共设施、道路交通、经济发展及城市安全等多方面为治理"城市病"提供基础数据。本文从城市区域评估的内涵入手,设计了城市区域评估的总体流程,建立了全面的评估体系,并对实现城市区域评估的关键技术进行了阐述。通过城市区域评估的方式,对城市现状客观扫描,将使"城市病"的病重程度得到客观度量,是根治"城市病"的首要条件。

关键词: 城市病, 城市评估, 城市现状评估, 空间大数据

Abstract: For "urban disease" problem, such as overcrowding, traffic congestion, environmental pollution, housing difficulties and so on, in order to assess urban situation objectively and quantitatively and find the causes of "urban disease", this paper presents concept of "urban examination" based on spatial big data in spatial information domain. Hoping to play the role of comprehensive, objective and accusation of spatial big data, to evaluate urban in full range is important, such as population, resources, environment, housing, public facilities, road transportation, economic development and urban safety. Its results will provide basic data for governance of "urban disease". In this paper, concept and connotation of "urban examination" is presented firstly, and overall process of "urban examination" is designed, and comprehensive assessment system is established.Finally key technologies to retaliate "urban examination" are described. By the way of "urban examination", to measure the illness degree of urban objectively is the first condition of position of "urban disease".

Key words: urban disease, urban examination, urban situation assessment, spatial big data

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