Discovery of the Environmental Factors Affecting Urban Dwellers’ Mental Health: A Data-Driven Approach

International Journal of Environmental Research and Public Health

Simon Hu¹  Xinyuan Xu²  Pei Zheng³  Nasi Wang³  Chao Wu³  Shuhan Chen³ 

[1] School of Civil and Environmental Engineering, ZJU-UIUC Institute, Zhejiang University, Haining 314400, China;School of Management, Zhejiang University, Zhejiang 310027, China;School of Public Affairs, Zhejiang University, Zhejiang 310027, China;

关键词: urban data;    city environment;    mental health;    data-driven approach;    model comparison;   

DOI  :  10.3390/ijerph17218167

来源: DOAJ

【 摘 要 】

Mental health is the foundation of health and happiness as well as the basis for an individual’s meaningful life. The environmental and social health of a city can measure the mental state of people living in a certain areas, and exploring urban dwellers’ mental states is an important factor in understanding and better managing cities. New dynamic and granular urban data provide us with a way to determine the environmental factors that affect the mental states of urban dwellers. The characteristics of the maximal information coefficient can identify the linear and nonlinear relationships so that we can fully identify the physical and social environmental factors that affect urban dwellers’ mental states and further test these relationships through linear and nonlinear modeling. Taking the Greater London as an example, we used data from the London Datastore to discover the environmental factors that had the highest correlation with urban mental health from 2015 to 2017 and to prove that they had a high nonlinear correlation through neural network modeling. This paper aimed to use a data-driven approach to find environmental factors that had not yet received enough attention and to provide a starting point for research by establishing hypotheses for further exploration of the impact of environmental factors on mental health.

【 授权许可】

Unknown