The "Big Earth Data in Support of Sustainable Development Goals" typically refers to the use of big data and advanced technology to support the progress and monitoring of the United Nations Sustainable Development Goals (SDGs). The main purpose of this type of report is to assess the progress of global sustainable development goals and provide information and data on SDGs for governments, international organizations, non-governmental organizations, and other stakeholders.

Beijing, September 19th News: The "Big Earth Data in Support of Sustainable Development Goals(2023)", jointly written by the International Research Center for Sustainable Development Big Data and the "Big Earth Data Science Engineering" special project of the Chinese Academy of Sciences, shows that China has made significant progress in the use of big data to support and monitor the United Nations' 2030 Sustainable Development Goals (SDGs). The report was officially released during the recent United Nations 2023 Sustainable Development Goals Summit. The report focuses on 7 sustainable development goals and 41 typical cases, systematically summarizing the latest progress in scientific issues, technological methods, application cases, and policy recommendations for global sustainable development big data. The report highlights ten typical cases, such as the "proportion and changes of the population with convenient access to public transportation in major cities worldwide," reflecting innovative ideas and technological paths driven by data to support sustainable development goals.

The case of "proportion and changes of the population with convenient access to public transportation in major cities worldwide," led by Associate Professor Zhou Qi, Professor Wang Lizhe, Researcher Wang Shaohua, and their team from China University of Geosciences (Wuhan), has been selected as one of the top ten highlights in the "Big Earth Data in Support of Sustainable Development Goals(2023)"! This research corresponds to the United Nations Sustainable Development Goal 11, "Make cities and human settlements inclusive, safe, resilient, and sustainable."

Based on the global major city public transportation dataset and population density dataset, the research team used spatial analysis methods such as overlay analysis and spatial statistics to analyze the proportion and changes of the population with convenient access to public transportation in 330 major cities worldwide. The proportion of the global population with convenient access to public transportation is still uneven. The population-weighted average of major cities globally increased by 3.38% in 2020 compared to 2015; about 1/7 of cities globally increased by more than 10%, mainly distributed outside Europe, with a significant increase in the proportion of the population with convenient access to public transportation in China. This study provides important scientific support for improving global urban public transportation accessibility.

The release of the "Big Earth Data in Support of Sustainable Development Goals(2023)" signifies that China's scientific research achievements in driving sustainable development goals through big data have been internationally recognized. It proposes technological paths and policy recommendations for China to achieve the 2030 Sustainable Development Goals, which is of great significance for promoting the global sustainable development process.