Urban mobility and activity space

KA Cagney, E York Cornwell… - Annual Review of …, 2020 - annualreviews.org
Recent theoretical and methodological advances in urban sociology, including spatially
located data, provide new opportunities to consider the joint influence of mobility and place …

[HTML][HTML] Uncertainty in geospatial health: challenges and opportunities ahead

EM Delmelle, MR Desjardins, P Jung, C Owusu… - Annals of …, 2022 - Elsevier
Purpose Uncertainty is not always well captured, understood, or modeled properly, and can
bias the robustness of complex relationships, such as the association between the …

The limits of the neighborhood effect: Contextual uncertainties in geographic, environmental health, and social science research

MP Kwan - Annals of the American Association of Geographers, 2018 - Taylor & Francis
This article draws on recent studies to argue that researchers need to be attentive to the
limits of the neighborhood effect as conventionally understood. It highlights the complexities …

Dynamic assessment of PM2. 5 exposure and health risk using remote sensing and geo-spatial big data

Y Song, B Huang, Q He, B Chen, J Wei… - Environmental …, 2019 - Elsevier
In the past few decades, extensive epidemiological studies have focused on exploring the
adverse effects of PM 2.5 (particulate matters with aerodynamic diameters less than 2.5 μm) …

Assessing mobility-based real-time air pollution exposure in space and time using smart sensors and GPS trajectories in Beijing

J Ma, Y Tao, MP Kwan, Y Chai - Smart Spaces and Places, 2021 - taylorfrancis.com
Using real-time data from portable air pollutant sensors and smartphone Global Positioning
System trajectories collected in Beijing, China, this study demonstrates how smart …

Does low income translate into lower mobility? An investigation of activity space in Hong Kong between 2002 and 2011

S Tao, SY He, MP Kwan, S Luo - Journal of Transport Geography, 2020 - Elsevier
Daily mobility of disadvantaged social groups, particularly low-income people, has gained
increasing interest since the daily life of these people may encounter significant constraints …

Big spatial data for urban and environmental sustainability

B Huang, J Wang - Geo-spatial Information Science, 2020 - Taylor & Francis
Eighty percent of big data are associated with spatial information, and thus are Big Spatial
Data (BSD). BSD provides new and great opportunities to rework problems in urban and …

Uncertainties in the assessment of COVID-19 risk: A study of people's exposure to high-risk environments using individual-level activity data

J Huang, MP Kwan - Annals of the American Association of …, 2022 - Taylor & Francis
Based on different conceptualizations and measures of individual-level environmental
exposure, this study examines how the uncertain geographic context problem (UGCoP) and …

Residential real estate investors' motives under pandemic conditions

A Chmielewska, M Ciski, M Renigier-Biłozor - Cities, 2022 - Elsevier
Real estates are an important aspect of human life, in the area of meeting the basic needs of
life as well as in the area of ambition and safe financial investment; especially in uncertain …

Assessing individual environmental exposure derived from the spatiotemporal behavior context and its impacts on mental health

L Zhang, S Zhou, MP Kwan, M Shen - Health & Place, 2021 - Elsevier
Research on the associations between environmental exposures and mental health has
attracted considerable attention. Most studies to date have mainly estimated environmental …