An Agent-Based Assessment of Health Vulnerability to Long-Term Particulate Exposure in Seoul Districts
                Authored by Hyesop Shin, Mike Bithell
                
                    Date Published: 2019
                
                
                    DOI: 10.18564/jasss.3940
                
                
                    Sponsors:
                    
                        No sponsors listed
                    
                
                
                    Platforms:
                    
                        NetLogo
                        
                
                
                    Model Documentation:
                    
                        ODD
                        
                        Flow charts
                        
                
                
                    Model Code URLs:
                    
                        https://www.comses.net/codebases/cb6c2243-fb44-4543-a372-6fee5f034c40/releases/1.1.0/
                        
                
                Abstract
                This study presents a proof-of-concept agent-based model (ABM) of health
vulnerability to long-term exposure to airborne particulate pollution,
specifically to particles less than 10 micrometres in size (PM10), in
Seoul, Korea. We estimated the differential effects of individual
behaviour and social class across heterogeneous space in two districts,
Gwanak and Gangnam. Three scenarios of seasonal PM10 change (business as
usual: BAU, exponential increase: INC, and exponential decrease: DEC)
and three scenarios of resilience were investigated, comparing the
vulnerability rate both between and within each district. Our first
result shows that the vulnerable groups in both districts, including
those aged over 65, aged under 15, and with a low education level,
increased sharply after 5,000 ticks (each tick corresponding to 1 day).
This implies that disparities in health outcomes can be explained by
socioeconomic status (SES), especially when the group is exposed over a
long period. Additionally, while the overall risk population was larger
in Gangnam in the AC100 scenarios, the recovery level from resilience
scenarios decreased the risk population substantially, for example from
7.7\% to 0.7\%. Our second finding from the local-scale analysis
indicates that most Gangnam sub-districts showed more variation both
spatially and in different resilience scenarios, whereas Gwanak areas
showed a uniform pattern regardless of earlier prevention. The
implication for policy is that, while some areas, such as Gwanak,
clearly require urgent mitigating action, areas like Gangnam may show a
greater response to simpler corrections, but aggregating up to the
district scale may miss particular areas that are more at risk. Future
work should consider other pollutants as well as more sophisticated
population and pollution modelling, coupled with explicit representation
of transport and more careful treatment of individual doses and the
associated health responses.
                
Tags
                
                    China
                
                    environmental justice
                
                    exposure
                
                    Agent-based model (ABM)
                
                    Protocol
                
                    Impact
                
                    Seoul
                
                    Pm2.5
                
                    Pm10
                
                    Health vulnerability
                
                    Outdoor air-pollution
                
                    Hospital admissions
                
                    Population exposure
                
                    Shanghai