Publications
2023
Wang, Yuhan, Lucas A.J. Bastien, Ling Jin, and Robert A. Harley."Location-Specific Control of Precursor Emissions to Mitigate Photochemical Air Pollution."Environmental Science & Technology
57.26 (2023) 9693 - 9701. DOI
Yang, Hung-Chia, Ling Jin, Alina Lazar, Annika Todd-Blick, Alex Sim, Kesheng Wu, Qianmiao Chen, and C. Anna Spurlock."Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective."Systems
11.6 (2023) 314. DOI
2022
Wang, Yuhan, Lucas A.J. Bastien, Ling Jin, and Robert A. Harley."Responses of Photochemical Air Pollution in California’s San Joaquin Valley to Spatially and Temporally Resolved Changes in Precursor Emissions."Environmental Science & Technology
56.11 (2022) 7074 - 7082. DOI
Jin, Ling, Alina Azar, Caitlin Brown, Bingrong Sun, Venu Garikapati, Srinath Ravulaparthy, Qianmiao Chen, Alex Sim, Kesheng Wu, Tin Ho, Thomas P. Wenzel, and C. Anna Spurlock."What Makes You Hold on to That Old Car? Joint Insights from Machine Learning and Multinomial Logit on Vehicle-level Transaction Decisions."Frontiers in Future Transportation - Connected Mobility and Automation
(2022). DOI
2021
Lazar, Alina, Ling Jin, Caitlin Brown, C. Anna Spurlock, Alex Sim, and Kesheng Wu."Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions."2021 IEEE International Conference on Big Data (Big Data)
(2021). DOI
Popovich, Natalie, C. Anna Spurlock, Zachary Needell, Ling Jin, Thomas P. Wenzel, Colin Sheppard, and Mona Asudegi."A methodology to develop a geospatial transportation typology."Journal of Transport Geography
93 (2021) 103061. DOI
Vlachogiannis, Dimitrios M., Yanyan Xu, Ling Jin, and Marta C. González."Correlation networks of air particulate matter (PM2.5): a comparative study."Applied Network Science
6.1 (2021). DOI
Huang, Lin, Jinjin Sun, Ling Jin, Nancy J. Brown, and Jianlin Hu."Strategies to reduce PM2.5 and O3 together during late summer and early fall in San Joaquin Valley, California."Atmospheric Research
(2021) 105633. DOI
2020
Todd-Blick, Annika, C. Anna Spurlock, Ling Jin, Peter Cappers, Sam Borgeson, Daniel Fredman, and Jarett Zuboy."Winners are not keepers: Characterizing household engagement, gains, and energy patterns in demand response using machine learning in the United States."Energy Research & Social Science
70 (2020). DOI
Jin, Ling, Alina Lazar, James Sears, Annika Todd, Alex Sim, Kesheng Wu, Hung-Chia Yang, and C. Anna Spurlock."Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes."IEEE Access
(2020) 1-17. DOI
Nordahl, Sarah L., Jay P. Devkota, Jahon Amirebrahimi, Sarah Josephine Smith, Hanna Breunig, Chelsea V. Preble, Andrew Satchwell, Ling Jin, Nancy J. Brown, Thomas W. Kirchstetter, and Corinne D. Scown."Life-Cycle Greenhouse Gas Emissions and Human Health Trade-Offs of Organic Waste Management StrategiesLife-Cycle Greenhouse Gas Emissions and Human Health Trade-Offs of Organic Waste Management Strategies."Environmental Science & Technology
54.15 (2020) 9200 - 9209. DOI
Jin, Ling, Corinne D. Scown, Tin Ho, Tyler Huntington, and Wei Zhou."Smelly-Odor Webtool (Smelly) v1."
(2020). DOI
2019
Lazar, , Alina, Alexandra Ballow, Ling Jin, C. Anna Spurlock, Alex Sim, and Kesheng Wu."Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use."2019 IEEE International Conference on Big Data (Big Data)2019 IEEE International Conference on Big Data (Big Data)
(2019). DOI
Todd, Annika, Peter Cappers, C. Anna Spurlock, and Ling Jin."Spillover as a cause of bias in baseline evaluation methods for demand response programs."Applied Energy
250 (2019) 344 - 357. DOI
Lazar, Alina, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim, and Annika Todd."Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization."Journal of Data and Information Quality
11.2 (2019) 1 - 22. DOI
Spurlock, C. Anna, James Sears, Gabrielle Wong-Parodi, Victor Walker, Ling Jin, Margaret Taylor, Andrew Duvall, Anand R. Gopal, and Annika Todd."Describing the users: Understanding adoption of and interest in shared, electrified, and automated transportation in the San Francisco Bay Area."Transportation Research Part D: Transport and Environment
71 (2019) 283-301. DOI
2018
Greenblatt, Jeffery B., and Ling Jin."Technoeconomic Analysis of an Artificial Photosynthesis Fuel Plant Supplied by Raw Biogas."
(2018).
Satchwell, Andrew, Corinne D. Scown, Sarah Josephine Smith, Jahon Amirebrahimi, Ling Jin, Thomas W. Kirchstetter, Nancy J. Brown, and Chelsea V. Preble."Accelerating the Deployment of Anaerobic Digestion to Meet Zero Waste Goals."Environmental Science & Technology
52.23 (2018) 13663–13669. DOI
Breunig, Hanna, Tyler Huntington, Ling Jin, Alastair Robinson, and Corinne D. Scown."Dynamic Geospatial Modeling of the Building Stock To Project Urban Energy Demand."Environmental Science & Technology
52.14 (2018) 7604 - 7613. DOI
Breunig, Hanna, Tyler Huntington, Ling Jin, Alastair Robinson, and Corinne D. Scown."Temporal and geographic drivers of biomass residues in California."Resources, Conservation and Recycling
139 (2018) 287 - 297. DOI
2017
Lazar, Alina, Ling Jin, C. Anna Spurlock, Annika Todd, Kesheng Wu, and Alex Sim."Data quality challenges with missing values and mixed types in joint sequence analysis."2017 IEEE International Conference on Big Data (Big Data)2017 IEEE International Conference on Big Data (Big Data)
(2017). DOI
Mohegh, Arash, Pablo J. Rosado, Ling Jin, Dev Millstein, Ronnen M. Levinson, and George A. Ban-Weiss."Modeling the climate impacts of deploying solar reflective cool pavements in California cities."Journal of Geophysical Research: Atmospheres
122.13 (2017) 6798 - 6817. DOI
Breunig, Hanna, Ling Jin, Alastair Robinson, and Corinne D. Scown."Bioenergy Potential from Food Waste in California."Environmental Science & Technology
(2017). DOI
Jin, Ling, Doris Lee, Alex Sim, Sam Borgeson, Kesheng Wu, C. Anna Spurlock, and Annika Todd."Comparison of Clustering Techniques for Residential Energy Behavior using Smart Meter Data." AAAI Workshops - Artificial Intelligence for Smart Grids and Buildings, March 2017
(2017).