地球大数据支持下的城市可持续发展评估：指标、数据与方法

高峻<sup>1; 2</sup>; 张中浩<sup>1; 2</sup>; 李巍岳<sup>1; 2</sup>; 孙凤云<sup>1; 2</sup>; 胡熠娜<sup>1; 2</sup>; 王亮绪<sup>1; 2</sup>; 付晶<sup>1; 2</sup>; 李新<sup>3*</sup>; 程国栋<sup>1; 2*</sup>

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投稿时间：2021-08-10

中文摘要: 城市的可持续发展是实现联合国2030年可持续发展目标（SDGs）的关键。地球大数据对于克服城市可持续发展评估中传统统计数据的不足具有重要意义，它能够凭借宏观、动态、多样的优势为城市可持续发展评估提供新的动力。文章在系统梳理国内外城市可持续性评价指标研究与评估实践的基础上，以SDG 11（可持续城市与社区）为核心，兼顾其他SDGs中体现城市可持续发展的维度，充分挖掘地球大数据完备、实时、稳健、客观等优势，选取12个适合运用地球大数据来进行评估的指标。其中，7个直接指标从SDG11具体标中抽取，依次为SDG 11.1、SDG 11.2、SDG 11.3、SDG 11.6、SDG 11.7、SDG 11.a、SDG 11.b等；另外5个关联指标为不包含在SDG 11中，但与城市可持续评估息息相关的代表性评价指标，分别为SDG6.3、SDG 7.2、SDG 8.1、SDG 9c、SDG 15.1等。文章介绍这12个指标在城市可持续评估中可发挥的作用，以及评估的数据、指标与方法。最后，提出基于地球大数据进行可持续指标计算，实现了对多源信息的整合利用，将有助于实现更加定量、实时、精细的城市可持续评价。

中文关键词: 城市可持续发展地球大数据可持续发展目标指标

Abstract:The sustainable development of cities is the key to achieving the United Nations 2030 Sustainable Development Goals (SDGs). There have been numbers of studies on urban sustainable development assessment, but the existing indicators are usually based on traditional statistical data, which makes urban sustainable development assessment limited in global city assessment and comparison. Big Earth Data can overcome the problems of traditional data statistics such as inconsistent statistical caliber, incomplete statistical information, and difficulty in obtaining data. With its macroscopic, dynamic, and diverse advantages, it can provide new assistance for urban sustainable development assessment. Based on the research on sustainable development of cities worldwide, this study sorts out the SDG 11 and other goals related to urban sustainability, and discusses the possibility of Big Earth Data, such as remote sensing data and the Internet big data, in the urban sustainable development evaluation. This study hopes to provide a scientific reference for the sustainable development of cities. The sustainability indicators using the Big Earth Data has realized the integration and utilization of multi-source information, which will help to achieve more quantitative, real-time, and detailed evaluation for urban sustainability.

keywords: urban sustainability Big Earth Data Sustainable Development Goals (SDGs) indicators

文章编号： 中图分类号： 文献标志码：

基金项目:国家自然科学基金重点项目（41730642）

作者	单位
高峻^1,2	上海师范大学环境与地理科学院上海 200234 上海师范大学城市发展研究院上海 200234
张中浩^1,2	上海师范大学环境与地理科学院上海 200234 上海师范大学城市发展研究院上海 200234
李巍岳^1,2	上海师范大学环境与地理科学院上海 200234 上海师范大学城市发展研究院上海 200234
孙凤云^1,2	上海师范大学环境与地理科学院上海 200234 上海师范大学城市发展研究院上海 200234
胡熠娜^1,2	上海师范大学环境与地理科学院上海 200234 上海师范大学城市发展研究院上海 200234
王亮绪^1,2	上海师范大学环境与地理科学院上海 200234 上海师范大学城市发展研究院上海 200234
付晶^1,2	上海师范大学环境与地理科学院上海 200234 上海师范大学城市发展研究院上海 200234
李新^3*	中国科学院青藏高原研究所北京 100039
程国栋^1,2*	上海师范大学环境与地理科学院上海 200234 上海师范大学城市发展研究院上海 200234

Author Name	Affiliation
GAO Jun^1,2	School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China Institute of Urban Studies, Shanghai Normal University, Shanghai 200234, China
ZHANG Zhonghao^1,2	School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China Institute of Urban Studies, Shanghai Normal University, Shanghai 200234, China
LI Weiyue^1,2	School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China Institute of Urban Studies, Shanghai Normal University, Shanghai 200234, China
SUN Fengyun^1,2	School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China Institute of Urban Studies, Shanghai Normal University, Shanghai 200234, China
HU Yina^1,2	School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China Institute of Urban Studies, Shanghai Normal University, Shanghai 200234, China
WANG Liangxu^1,2	School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China Institute of Urban Studies, Shanghai Normal University, Shanghai 200234, China
FU Jing^1,2	School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China Institute of Urban Studies, Shanghai Normal University, Shanghai 200234, China
LI Xin^3*	Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100039, China
CHENG Guodong^1,2*	School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China Institute of Urban Studies, Shanghai Normal University, Shanghai 200234, China

引用文本：
高峻,张中浩,李巍岳,孙凤云,胡熠娜,王亮绪,付晶,李新,程国栋.地球大数据支持下的城市可持续发展评估：指标、数据与方法[J].中国科学院院刊,2021,36(8):940-949.
GAO Jun,ZHANG Zhonghao,LI Weiyue,SUN Fengyun,HU Yina,WANG Liangxu,FU Jing,LI Xin,CHENG Guodong.Urban Sustainable Development Evaluation with Big Earth Data: Data, Indicators, and Methods[J].Bulletin of Chinese Academy of Sciences,2021,36(8):940-949.