Bio
Yougeng Lu (he/him/his) is a Postdoctoral Scholar with the Natural Capital Project on developing urban nature exposure model. His research focuses on exploring the linkages between exposure to urban nature, such as green space and street trees, and individual's physical activity and mental health. Yougeng received his Ph.D. in Urban Planning and Development from the University of Southern California, where he developed a high spatiotemporal resolution PM2.5 prediction model with low-cost air sensors and studied how people's travel behavior affects their air pollution exposure. He holds an M.Sc. in Urban Planning from University of Washington, Seattle; and a B.Sc. in Geography from Wuhan University, China.
All Publications
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Integrated strategies for road transportation-related multi-pollutant control: A cross-departmental policy mix
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
2024; 132
View details for DOI 10.1016/j.trd.2024.104257
View details for Web of Science ID 001245192800001
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Urban street network design and transport-related greenhouse gas emissions around the world
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
2024; 127
View details for DOI 10.1016/j.trd.2023.103961
View details for Web of Science ID 001166191000001
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Assessing air pollution exposure misclassification using high-resolution PM2.5 concentration model and human mobility data
AIR QUALITY ATMOSPHERE AND HEALTH
2023
View details for DOI 10.1007/s11869-023-01404-2
View details for Web of Science ID 001044702600001
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Impacts of distinct travel behaviors on potential air pollution exposure measurement error
ATMOSPHERIC ENVIRONMENT
2023; 306
View details for DOI 10.1016/j.atmosenv.2023.119820
View details for Web of Science ID 001007331300001
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Where do people meet? Time-series clustering for social interaction levels in daily-life spaces during the COVID-19 pandemic
CITIES
2023; 137
View details for DOI 10.1016/j.cities.2023.104298
View details for Web of Science ID 000954713300001
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Drive less but exposed more? Exploring social injustice in vehicular air pollution exposure.
Social science research
2023; 111: 102867
Abstract
Despite growing understanding of racial and class injustice in vehicular air pollution exposure, less is known about the relationship between people's exposure to vehicular air pollution and their contribution to it. Taking Los Angeles as a case study, this study examines the injustice in vehicular PM2.5 exposure by developing an indicator that measures local populations' vehicular PM2.5 exposure adjusted by their vehicle trip distances. This study applies random forest regression models to assess how travel behavior, demographic, and socioeconomic characteristics affect this indicator. The results indicate that census tracts of the periphery whose residents drive longer distances are exposed to less vehicular PM2.5 pollution than tracts in the city center whose residents drive shorter distances. Ethnic minority and low-income tracts emit little vehicular PM2.5 and are particularly exposed to it, while White and high-income tracts generate more vehicular PM2.5 pollution but are less exposed.
View details for DOI 10.1016/j.ssresearch.2023.102867
View details for PubMedID 36898795
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Local inequities in the relative production of and exposure to vehicular air pollution in Los Angeles
URBAN STUDIES
2023
View details for DOI 10.1177/00420980221145403
View details for Web of Science ID 000920368200001