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.

Stanford Advisors

All Publications

  • Urban street network design and transport-related greenhouse gas emissions around the world TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT Boeing, G., Pilgram, C., Lu, Y. 2024; 127
  • Assessing air pollution exposure misclassification using high-resolution PM2.5 concentration model and human mobility data AIR QUALITY ATMOSPHERE AND HEALTH Lu, Y. 2023
  • Impacts of distinct travel behaviors on potential air pollution exposure measurement error ATMOSPHERIC ENVIRONMENT Lu, Y., Habre, R. 2023; 306
  • Where do people meet? Time-series clustering for social interaction levels in daily-life spaces during the COVID-19 pandemic CITIES Lu, Y., Giuliano, G. 2023; 137
  • Drive less but exposed more? Exploring social injustice in vehicular air pollution exposure. Social science research Lu, Y. 2023; 111: 102867


    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

  • Local inequities in the relative production of and exposure to vehicular air pollution in Los Angeles URBAN STUDIES Boeing, G., Lu, Y., Pilgram, C. 2023