Study on Influence Factors of Public Environmental Satisfaction Perception Based on Social Aware Computing

Posted: 17 Jul 2019

Date Written: July 17, 2019

Abstract

In recent years, the environmental problems faced by humans have intensified. Human beings have great research value for the ecological environment and the satisfaction of the physical environment around them. The public's perception of the environment is more likely to make a deeper assessment of the integrated environment of a region than to simply evaluate it through environmental indicators. This paper studies the development of a mobile terminal software in the way of group intelligence perception, which is responsible for the public's perception of the environment and the collection of public environmental satisfaction, and through the model to refine the “Satisfaction of the public environment model”. The study mainly collected the relationship between the public satisfaction data of the public environment and the atmospheric environment data of 42 volunteers from five urban districts in Lanzhou City from October 2016 to September 2017. In addition, discrete data from Guangzhou, Beijing, and Zibo were collected to analyze the public's tolerance in different environments. The results show that: (1) People who are in a good environment for a long time have low tolerance and strong perception of bad weather. (2) The impact of air quality factors on public environmental satisfaction in Lanzhou is greater than that of weather. (3) PM2.5 has a strong correlation with public environmental satisfaction and has the greatest impact on public environmental satisfaction.

Keywords: Social Aware Computing, Relationship Analysis, Environmental Perception

Suggested Citation

Gao, Tianze, Study on Influence Factors of Public Environmental Satisfaction Perception Based on Social Aware Computing (July 17, 2019). Abstract Proceedings of 2019 International Conference on Resource Sustainability - Cities (icRS Cities). Available at SSRN: https://ssrn.com/abstract=3421273

Tianze Gao (Contact Author)

Independent ( email )

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