Quantifying the health effects of exposure to non-exhaust road emissions using agent-based modelling (ABM)

Shin, H. (2022) Quantifying the health effects of exposure to non-exhaust road emissions using agent-based modelling (ABM). MethodsX, 9, 101673. (doi: 10.1016/j.mex.2022.101673) (PMID:35433289) (PMCID:PMC9005962)

Abstract

This paper provides an agent-based model, entitled TRAPSim, to examine the exposure to non-exhaust emissions (NEEs) and the consequent health effects of driver and pedestrians groups in Seoul. To make the model reproducible and replicable, TRAPSim uses the ODD protocol to demonstrate the details of the agents and parameters, as well as provide the codes alongside the descriptions to avoid possible ambiguity. The model’s main parameters are thoroughly tested through sensitivity experiments and are calibrated with the city’s air pollution monitoring networks. This paper also provides the instructions to the model, possible artefacts, and the configurations to submit the model on the HPC cluster. • An ODD protocol is used to document the agent-based model TRAPSim • Sensitivity experiments and calibration are explained • The step-by-step codes and annotations are attached in the protocol and HPC sections

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Shin, Mr Hyesop
• Authors: Shin, H.
• College/School: College of Science and Engineering > School of Geographical and Earth Sciences
• Journal Name: MethodsX
• Publisher: Elsevier
• ISSN: 2215-0161
• ISSN (Online): 2215-0161
• Published Online: 25 March 2022
• Copyright Holders: Copyright © 2022 The Author(s)
• First Published: First published in MethodsX 9: 101673
• Publisher Policy: Reproduced under a Creative Commons Licence