Analysis of the Impact of Particulate Matter on Urban Vitality using Spatio-temporal Big Data

Keywords: Urban Vitality, Particulate Matter, Spatio-Temporal Big Data
Session Type: Virtual Paper Abstract
Day: Monday
Session Start / End Time: 2/28/2022 09:40 AM (Eastern Time (US & Canada)) - 2/28/2022 11:00 AM (Eastern Time (US & Canada))
Room: Virtual 66

Abstract

Urban vitality is directly related to the activities of city residents, and their activities are induced or inhibited by the physical composition of urban space, social, economic, and environmental conditions, and personal health. Recently, life in a lively city is becoming difficult due to the increase in various problems such as changes and deterioration of living environments such as climate change, disasters, and environmental pollution in cities. In Korea, studies on the effects of fine dust have been conducted in various fields as concerns about the adverse effects of particulate matter pollution intensify along with the growing interest in personal health. Air pollution caused by particulate matter can negatively affect the activities of city dwellers by affecting their physical and mental health and refraining from outside activities, which leads to a decrease in urban vitality. In order to reduce the negative impact, effective countermeasures and policies are needed, and for effective decision-making, it is essential to demonstrate and understand the impact of particulate matter pollution on the activities of urban residents. This study was aimed at demonstrating the effect of particulate matter on the vitality of city in Seoul. This study was conducted using microscopic spatiotemporal big data on the active population and air pollution measurement network data for Seoul. Based on the built-up big data, a spatial panel model was used to analyze the effect of particulate matter concentration on the vitality of city.