Corona Blue Among Us: Associations between Risk Perception and Activity, Visits to Urban Destinations, and Mental Health in Seoul, Korea and Shanghai, China

Hyung-Chul Chung, Jaekyung Lee, Seul Lee, Jiwon lee, Tae-Hyoung Tommy Gim, Yunmi Park*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

COVID-19 changed numerous aspects of people’s lives. The so-called “Corona Blue” decline in mental health has been attributed to reduced physical activity and increased risk aversion toward crowded urban destinations. Therefore, this study investigated the impact on mental health of people’s perceived risk of daily life and physical activity resulting from visits to urban destinations and open spaces in two large Asian cities: Shanghai (China) and Seoul (South Korea). Analysis using partial least square-structural equation modeling revealed that perceived risk was a deterrent to visiting urban destinations and open spaces in Seoul because urban areas were linked to elevated stress, whereas open spaces had a stress-reducing effect. In contrast, the impact of risk perception on mental health in Shanghai was not significant. This result may be strongly associated with stringent policies imposed in Shanghai. The study highlights the significance of urban safety, health conditions, life contentment, health administration, and governance in both cities. In conclusion, the potential for the effect of perceived risk on visiting urban destinations and open spaces to mitigate mental health deserves careful consideration by researchers and policymakers as part of an integrated strategy to promote mental health in cities.
Original languageEnglish
JournalJournal of Asian Architecture and Building Engineering
DOIs
Publication statusPublished - May 2024

Fingerprint

Dive into the research topics of 'Corona Blue Among Us: Associations between Risk Perception and Activity, Visits to Urban Destinations, and Mental Health in Seoul, Korea and Shanghai, China'. Together they form a unique fingerprint.

Cite this