Sachraa G. Borjigin
ABSTRACT
Understanding complex human mobility in the current digital era is very difficult, especially in highly populated metropolitan areas. The benefits of knowing urban mobility come in many ways and these include, but are not limited to, informing regional planners to better manage urban transportation, providing policy makers with provide reasonable strategies to reduce greenhouse gas (GHG) emissions, and assisting city officials to promote sustainable infrastructural plans, among many others. In this study, we explored the relationship between air quality data - particulate matter (PM) data (PM10 and PM2.5) and carbon monoxide (CO) - and the human mobility data in South Korea. This relationship is further implemented to an agent-based model (ABM) to replicate population mobility reflected based on these datasets in order to discover and simulate air quality with respect to human mobility.
- Archer, C. L., Cervone, G., Golbazi, M., Al Fahel, N., and Hultquist, C. 2020. Changes in air quality and human mobility in the USA during the COVID-19 pandemic, Bulletin of Atmospheric Science and Technology, 1(3--4), 491--514. Google Scholar
Cross Ref
- Bonabeau, E., 2002. Agent-based modelling: Methods and techniques for simulating human systems. Proc. Natl. Acad. Sci. 99 (3), 7280--7287.Google ScholarCross Ref
- Crawford, J. H. et al. 2021. The Korea-United States Air Qualtiy (KORUS-AQ) field study, Elements: Science of the Antropocene, 9(1), 163.Google Scholar
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- Efe, B. (2022) Air quality improvement and its relation to mobility during COVID-19 lockdown in Marmara Region, Turkey. Environmental Monitoring Assessment, 194(4), 255.Google ScholarCross Ref
- Grajdura, S. A., Borjigin, S. G. and Niemeier, D. A. (2022). Fast-Moving Dire Wildfire Evacuation Simulation. Transportation Research Part D: Transport and Environment, 104, 103190, ISSN 1361-9209. Google ScholarCross Ref
- Grajdura, S. A., Borjigin, S. G. and Niemeier, D. A., 2020. Agent-based wildfire evacuation with spatial simulation: a case study. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation (ARIC '20). Association for Computing Machinery, New York, NY, USA, 56--59. Google ScholarDigital Library
Index Terms
- Influence of air quality on human mobility: a case study using PM & CO data
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