地理学报 ›› 2023, Vol. 78 ›› Issue (11): 2647-2658.doi: 10.11821/dlxb202311001

• 研究进展与理论探索 •    下一篇

城市SDGs空间型监测研究进展与展望

白建军1(), 陈军2   

  1. 1.陕西师范大学地理科学与旅游学院,西安 710119
    2.国家基础地理信息中心,北京 100830
  • 收稿日期:2022-11-30 修回日期:2023-05-27 出版日期:2023-11-25 发布日期:2023-11-29
  • 作者简介:白建军(1969-), 男, 陕西澄城人, 教授, 博士生导师, 主要从事资源环境遥感、可持续发展监测评估研究。E-mail: Bjj@snnu.edu.cn
  • 基金资助:
    国家自然科学基金项目(42271289)

Geospatial enabled monitoring for urban SDGs: Progress, challenges and prospect

BAI Jianjun1(), CHEN Jun2   

  1. 1. School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
    2. National Geomatics Center of China, Beijing 100830, China
  • Received:2022-11-30 Revised:2023-05-27 Published:2023-11-25 Online:2023-11-29
  • Supported by:
    National Natural Science Foundation of China(42271289)

摘要:

本文在分析城市SDGs监测评估研究背景的基础上,阐述了城市SDGs空间型监测的概念内涵及其与传统的基于统计数据的监测评估的区别,揭示了国内外城市SDGs监测评估研究的发展历程和最新进展,即城市可持续发展监测评估从传统基于统计调查数据的监测评估向基于地球大数据的空间型监测评估转变。同时,从监测指标体系、服务于监测的地理空间数据获取、监测思路与方法等方面系统地分析了国内外城市SDGs监测评估研究的最近进展和现状。最后,在分析城市SDGs空间型监测面临的挑战和困境的基础上,将城市SDGs空间型监测评估未来发展趋向归纳为5点展望,即建立科学高效的监测评估方法、建立规范统一的监测指标体系、构建数据生产共享及监测评估知识服务平台、加强地球大数据和相关学科支撑城市SDGs监测评估的应用研究等。

关键词: 城市SDGs, 空间型监测, 指标体系, 空间数据获取, 进展与展望

Abstract:

On the basis of analyzing urban SDGs monitoring and evaluation, this paper expounds the conceptual connotation of geospatial enabled monitoring and its differences from traditional statistical-based monitoring for urban SDGs. Meanwhile, through document comparison and analysis, the development and latest progress of urban SDGs monitoring and evaluation has been revealed, suggesting a transformation of urban SDGs monitoring and evaluation from traditional statistical-based monitoring to geospatial enabled monitoring. In addition, this paper systematically analyzes the research progress and current situation of geospatial enabled monitoring from the aspects of monitoring index system, geospatial data acquisition for monitoring, and monitoring ideas and methods. Results showed that the number of urban SDGs indicators is too large and the relationship is complex, with the lack of clear core and key indicators, which need to be optimized and improved according to the specific situation. The lack of standard, public and directly available data requires the development of appropriate methods for spatial data generation and multi-source data utilization, and the establishment of data products for urban SDGs monitoring and evaluation. Besides, the lack of scientific and efficient monitoring and evaluation methods is also one of the main problems facing the current urban SDGs studies. Finally, through the analysis of current challenges in urban SDGs monitoring, future research in geospatial enabled monitoring for urban SDGs are proposed, including the establishment of scientific and efficient monitoring and evaluation methods, the establishment of a standardized and unified monitoring index system, the construction of data production sharing and monitoring and evaluation knowledge service platform, and the strengthening of the application research of big earth data and related disciplines support for the monitoring and evaluation of urban SDGs.

Key words: urban SDGs, geospatial enabled monitoring, indicator system, spatial data acquisition, research progress and prospect