Estimating hourly PM2. 5 concentrations at the neighborhood scale using a low-cost air sensor network: A Los Angeles case study Y Lu, G Giuliano, R Habre Environmental Research 195, 110653, 2021 | 38 | 2021 |
Beyond air pollution at home: Assessment of personal exposure to PM2. 5 using activity-based travel demand model and low-cost air sensor network data Y Lu Environmental Research 201, 111549, 2021 | 16 | 2021 |
Analyzing traffic impacts of planned major events G Giuliano, Y Lu Transportation research record 2675 (8), 432-442, 2021 | 3 | 2021 |
Understanding mobility change in response to COVID-19: A Los Angeles case study Y Lu, G Giuliano Travel Behaviour and Society 31, 189-201, 2023 | 1 | 2023 |
Drive less but exposed more? Exploring social injustice in vehicular air pollution exposure Y Lu Social Science Research 111, 102867, 2023 | 1 | 2023 |
Local Inequities in the Relative Production of and Exposure to Vehicular Air Pollution in Los Angeles G Boeing, Y Lu, C Pilgram arXiv preprint arXiv:2301.00440, 2023 | 1 | 2023 |
Where do people meet? Time-series clustering for social interaction levels in daily-life spaces during the COVID-19 pandemic Y Lu, G Giuliano Cities 137, 104298, 2023 | | 2023 |
Impacts of distinct travel behaviors on potential air pollution exposure measurement error Y Lu, R Habre Atmospheric Environment, 119820, 2023 | | 2023 |
Race, Class, and the Production of and Exposure to Vehicular Pollution in Los Angeles G Boeing, Y Lu, C Pilgram, P Mannino, MT Center, PS Region Pacific Southwest Region 9 UTC, University of Southern California, 2021 | | 2021 |
Traffic-Related PM2. 5 Air Pollution and Schools in Proximity to Major Roadways in Shanghai, China Y Lu | | 2016 |