测绘通报 ›› 2021, Vol. 0 ›› Issue (1): 124-129.doi: 10.13474/j.cnki.11-2246.2021.0024

• 技术交流 • 上一篇    下一篇

顾及三生空间交互特征的城市空间宜居性评价——以武汉市为例

张陈为1,2, 谌恺祺1,2, 郭艺文1,2, 王达1,2, 赵冰冰1,2, 吴艳1,2   

  1. 1. 自然资源部城市国土资源监测与仿真重点实验室, 广东 深圳 518034;
    2. 中南大学地球科学与信息物理学院, 湖南 长沙 410083
  • 收稿日期:2020-07-06 修回日期:2020-11-23 发布日期:2021-02-08
  • 通讯作者: 谌恺祺。E-mail:louischenkaiqi@gmail.com
  • 作者简介:张陈为(1998-),男,主要研究方向为国土空间规划。E-mail:cw.zhang@csu.edu.cn
  • 基金资助:
    自然资源部城市国土资源监测与仿真重点实验室开放基金(KF-2019-04-032);湖南省重点研发计划(2018SK2052)

Evaluating livability of urban space with consideration of the interactive characteristics of ecological-living-productive spaces: a case of Wuhan city

ZHANG Chenwei1,2, CHEN Kaiqi1,2, GUO Yiwen1,2, WANG Da1,2, ZHAO Bingbing1,2, WU Yan1,2   

  1. 1. Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen 518034, China;
    2. School of Earth Science and Information Physics, Central South University, Changsha 410083, China
  • Received:2020-07-06 Revised:2020-11-23 Published:2021-02-08

摘要: 本文从三生空间功能角度出发,融合多源地理数据建立了三生空间分类指标体系,并进一步顾及空间交互特征,建立了城市空间宜居性评价体系。以武汉市为例,对武汉市中心城区的三生空间格局进行了识别,并对该区域的宜居水平进行了评价分析。结果表明:①武汉市中心城区三生空间的总体配置不均匀,空间上呈现出生活空间中心聚集、生产空间四周分散、生态空间范围大但数量较少的分布格局;②武汉市三生空间混合度较低,大部分城市空间功能类型单一;③受邻近空间的影响,武汉市中心城区中,宜居度较高的区域集中在中心城区的边缘地带。

关键词: 三生空间, 多源数据融合, 空间功能分类, 空间交互特征, 宜居性评价

Abstract: From the perspective of the function of ecological-living-productive spaces, the classification index system of ecological-living-productive spaces is established by integrating multi-source geographic data, and the evaluation method of urban spatial livability is further proposed by considering the spatial interaction characteristics. This paper identifies the ecological-living-productive spaces pattern of the central urban area of Wuhan, and evaluates the livable level of this region. The results show that: ①The whole distribution of ecological-living-productive spaces in the central urban area of Wuhan is uniform, showing a spatial distribution pattern of the living space center gathering, the production space scattered around, and the ecological space range is large but small quantity; ②The spatial mixing degree of the ecological-living-productive spaces in Wuhan is low, spatial function types of most the urban areas are single; ③Affected by the adjacent space, the areas with higher livability are located in the edge of the central urban area.

Key words: ecological-living-productive spaces, multisource data fusion, spatial function classification, spatial interaction characteristics, livability evaluation

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