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应用生态学报 ›› 2022, Vol. 33 ›› Issue (9): 2493-2500.doi: 10.13287/j.1001-9332.202209.023

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基于多源数据的中新天津生态城微观尺度宜居性评价

姚晓婧1, 郑伟1,2, 王大成1*, 安脉3, 王小燕3, 陈伟2, 王伟4, 池天河1   

  1. 1中国科学院空天信息创新研究院, 北京 100094;
    2中国矿业大学(北京)地球科学与测绘工程学院, 北京 100083;
    3中新天津生态城管委会智慧城市发展局, 天津 300467;
    4天津职业技术师范大学信息技术工程学院, 天津 300222
  • 收稿日期:2021-11-07 接受日期:2022-06-15 出版日期:2022-09-15 发布日期:2023-03-15
  • 通讯作者: * E-mail: wangdc@aircas.ac.cn
  • 作者简介:姚晓婧, 女, 1986年生, 博士, 副研究员。主要从事城市信息化及时空挖掘模型研究。E-mail: yaoxiaojing2008@126.com
  • 基金资助:
    国家自然科学基金项目(41701438)和中新天津生态城汇聚平台优化项目(E0H21134)资助。

Micro-scale habitability evaluation of Sino-Singapore Tianjin Eco-city based on multi-source data

YAO Xiao-jing1, ZHENG Wei1,2, WANG Da-cheng1*, AN Mai3, WANG Xiao-yan3, CHEN Wei2, WANG Wei4, CHI Tian-he1   

  1. 1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;
    2School of Earth Science and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China;
    3Smart City Development Authority, Sino-Singapore Tianjin Eco-city Management Committee, Tianjin 300467, China;
    4School of Information and Technology, Tianjin University of Technology and Education, Tianjin 300222, China
  • Received:2021-11-07 Accepted:2022-06-15 Online:2022-09-15 Published:2023-03-15

摘要: 定量评估城市内部宜居性便于发现城市问题从而针对性改善环境。现有研究多囿于单一时相的静态分析,难以在微观层面揭示城市动态发展状态。本研究以中新天津生态城为例,从环境健康性、交通便捷性、城市安全性、设施便利性和经济繁荣性5个维度创建生态城宜居性评估指标体系,利用研究区2016—2020年的遥感影像、兴趣点、控制性详细规划数据等多源数据,结合熵值法和优劣解距离法从居住地块尺度对生态城内部宜居情况进行长时间序列的动态监测。结果表明: 研究期间,生态城内不同片区宜居水平有较强的时空差异性。空间上,以生态城中新合作区南部为核心,宜居性整体呈现出中心高、边缘低的特点,设施便利性、交通便捷性和经济繁荣性呈现出中心高、边缘低的特点,而环境健康性和城市安全性则呈现出中心低、边缘高的特点。2016—2020年间,生态城宜居性提升速度逐步加快,中新合作区南部的宜居性整体提升最明显。

关键词: 中新天津生态城, 宜居性, 熵值法, 优劣解距离法, 时间序列分析

Abstract: Quantitative assessment of livability within a city facilitates the identification of urban problems and targeted improvements to the environment. Available studies are mostly limited to static analysis of a particular phase. It is difficult to reveal the dynamic development state of cities at the micro level. Taking Sino-Singapore Tianjin Eco-city as an example, we established an evaluation index system for the livability of the eco-city from five dimensions, including environmental health, transportation convenience, urban security, facility convenience, and economic prosperity. Multi-source data from 2016 to 2020, including the remote sensing images, points of interest, and planning data, combined with the entropy method and the TOPSIS method were used to dynamically monitor the livability of the eco-city in a long-term series. The results showed that during the study period, the livability levels of different areas in the eco-city had strong spatial and temporal variations. Spatially, with the southern part of the Sino-Singapore Eco-city Cooperation Zone as the core, the overall livability was characterized by a high center and a low edge. The convenience of facilities, traffic convenience, and economic prosperity were characterized by a high center and a low edge. Urban security and environmental health showed the characteristics of low center and high edge. From 2016 to 2020, the livability improvement rate of the eco-city had gradually accelerated, with the the most obvious improvement in the southern part of the China-Singapore Cooperation Zone.

Key words: Sino-Singapore Tianjin Eco-city, livability, entropy method, technique for order preference by similarity to ideal sulution, time series analysis