Work

From a visual standpoint: Exploring the influence of the built environment, especially road ratio, on mental wellbeing before and after the COVID-19 outbreak in Hong Kong

Year: 2025

Type: article

Abstract: Road ratio, representing the proportion of roads in the street view, exerts varying degrees of visual influence on the mental well-being of residents. In our study, we surveyed the psychological conditions of 2,636 Hong Kong residents across four periods: before, during, and after the pandemic. Utilizing machine learning algorithms, we analyzed street view images within a 100-m radius of the residents' locations to determine the proportion of roads within the street views. This served as a representation of the visual impact of roads on residents. Subsequently, we employed Ordinary Least Squares (OLS) models and Multinomial Logit (MNL) models to investigate the relationship between the proportion of road presence in street views and the frequency of various forms of stress among residents across the four identified periods. Our findings indicate that an increase in road ratio correlates with a higher incidence of diverse stress forms. This effect was particularly pronounced during the pandemic, where the influence of road ratio on the frequency of depressive episodes intensified and persisted even after the pandemic had ended. The significance of our research lies in its implications for future urban planning, specifically in how road ratio near residential areas can be reduced and offset with more natural elements to mitigate the adverse effects of road ratio on residents' mental health. • The research findings delineate a significant correlation: urban road density amplifies stress levels notably. • The COVID-19 crisis emphasized dense roads' mental health impact, highlighting urban design's role in health emergencies. • Residents have not recovered from the pandemic's impact and continue to face increased stress frequency due to road density. • The study sets a precedent by utilizing a unique blend of literature review, surveys, and machine learning visual analysis. • The findings advocates for integrating more parks to combat stress stemming from dense road networks.

Source: Journal of Urban Management

DOI: 10.1016/j.jum.2024.09.004

Authors: Ning Chen, Xiaodong Chen, Pengyu Zhu

Institution: Hong Kong University of Science and Technology

Language: English

Topic: Urban Green Space and Health

Subfield: Health, Toxicology and Mutagenesis

Field: Environmental Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Good health and well-being

Open Access status: gold

Estimated APC paid: $1,200