Mei-Po Kwan

The research of Mei-Po Kwan addresses health, transport, environmental, and social issues in urban areas through the application of innovative geographic information system (GIS) methods. She focuses on understanding how socioeconomic differences (e.g., gender, income, race, ethnicity, and religion) shape urban residents' everyday experiences and perceptions/use of the built environment. Mei-Po is also interested in studying how specific characteristics of the social and physical environment affect the wellbeing and behavior of different social groups. Current projects attempt to mitigate two fundamental methodological problems while examining health-environment relationships: the uncertain geographic context problem (UGCoP) and the neighborhood effect averaging problem (NEAP).

Publications

Advances in portable sensing for urban environments: Understanding cities from a mobility perspective

Birenboim, A., Helbich, M., & Kwan, M-P
Computers, Environment and Urban Systems, 88, (2021)

Time to address the spatiotemporal uncertainties in COVID-19 research: Concerns and challenges

M. Helbich, M.H.E. Mute Browning, M-P. Kwan
Sci Total Environ. 2020 Oct 9;142866. doi: 10.1016/j.scitotenv.2020.142866. Online ahead of print.

How neighborhood effect averaging may affect assessment of individual exposures to air pollution: A study of ozone exposures in Los Angeles

Kim J, Kwan M-P.
Annals of the American Association of Geographers

Advances in Portable Sensing Methodologies for Urban Environments: Understanding Cities from a Mobility Perspective.

Birenboim A, Helbich M, Kwan M.
Special issue of Computers, Environment, and Urban Systems, ongoing.

The neighborhood effect averaging problem (NEAP): An elusive confounder of the neighborhood effect.

Kwan M-P.
International Journal of Environmental Research and Public Health, 15: 1841. https://doi.org/10.3390/ijerph15091841

Natural environments and suicide mortality in the Netherlands: a cross-sectional, ecological study

Helbich, M., de Beurs, D, Kwan, M, O’Connor, R & Groenewegen, P.
Lancet Planet Health. 2018 Mar; 2(3): e134–e139. Published online 2018 Mar. doi: 10.1016/S2542-5196(18)30033-0

Individual exposure estimates may be erroneous when spatiotemporal variability of air pollution and human mobility are ignored.

Park YM, Kwan M-P.
Health & Place, 43: 85-94

The uncertain geographic context problem.

Kwan M-P.
Annals of the Association of American Geographers, 102(5): 958-968.

Mei-Po Kwan

Contact information

Utrecht University
Department of Human Geography and Spatial Planning
3584 CB Utrecht
The Netherlands

Areas of Expertise

Geosciences Information Systems

Decoding the exposome

Decoding the exposome

Exposome-NL is a Dutch consortium of over fifty scientists from different disciplines, universities and medical centres. Together the scientists will systematically sequence the environmental factors influencing our health.

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