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