This research responds to the impact of the COVID-19 on daily social life of people around the world, as well as the services provided by natural learning fields, through social experiments in real spaces and the stopping distance method in order to measure the space bubble. The questionnaires collected are for investigation about the ways and factors of the people using the environmental space. Furthermore, based on the differences before and after the outbreak, explore the causes of the changes, such as the impact of the fear of the COVID-19, etc., and provide relevant association to modify the space design.
In addition to applying above research results and providing others suggestions, this article also responds to the third goal of SDGs: To ensure health and promote the well-being of all ages. A well green space design is a way to reflect social responsibility and strengthen all countries, including early warning, risk reduction to reach International Health Regulations’ ,health emergency preparedness measures and strengthening of health risks(3.d). Moreover, the twelfth goal: To ensure sustainable consumption and production patterns in compliance with Circular economy—building a responsible consumption and production system to improve the efficiency of the economy’s use of resources. The detailed goal mention that before 2030, ensure that people in every place have information and awareness about sustainable development, and keep up with them. The lifestyle of nature and harmonious coexistence, it is hoped that the results of this research can help society under different environmental conditions to operate smoothly and achieve balance development.
During the global response to COVID-19, public health officials told us that the anonymous aggregate analysis information used in products such as Google Maps helps them make important decisions against the COVID-19 epidemic. The community crowd trend report aims to provide in-depth analysis data after the implementation of the COVID-19 epidemic prevention policy to observe changes in the global crowd flow. The report will present the flow of people trends in various geographic regions at different times in a graph, and segment the data according to various locations (such as retail stores and leisure facilities, grocery stores and pharmacies, parks, mass transit stations, workplaces, and residential areas).