Ling Jin

Publications

Viewing 25 of 41 publications

2024

Jin, Ling, Xiaodan Xu, Yuhan Wang, Alina Lazar, Kaveh Farokhi Sadabadi, C Anna Spurlock, Zachary Needell, Duleep Rathgamage Don, Mahyar Amirgholy, and Mona Asudegi. "Macroscopic Traffic Modeling Using Probe Vehicle Data: A Machine Learning Approach." Data Science for Transportation 6.3 (2024).

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Jin, Ling, Connor P Jackson, Yuhan Wang, Qianmiao Chen, Tin Ho, C Anna Spurlock, Aaron Brooker, Jake Holden, Jeff Gonder, Mohamed Amine Bouzaghrane, Bingrong Sun, Shivam Sharda, Venu Garikapati, Thomas P Wenzel, and Juan Caicedo. "Technology progress and clean vehicle policies on fleet turnover and equity: insights from household vehicle fleet micro-simulations with ATLAS." Transportation Planning and Technology (2024) 1–24.

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2023

Jin, Ling, Xiaodan Xu, Yuhan Wang, Kaveh Farokhi Sadabadi, Alina Lazar, Duleep Rathgamage Don, Zachary Needell, C Anna Spurlock, Mahyar Amirgholy, and Mona Asudegi. "Leveraging Probe Data and Machine Learning to Derive and Interpret Macroscopic Fundamental Diagrams Across U.S. Cities." 2023 IEEE International Conference on Big Data (BigData). Sorrento, Italy: IEEE, 2023.

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.

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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.

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2022

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).

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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.

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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). Orlando, FL, USA: IEEE, 2021.

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.

Accepted Version PDF

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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).

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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.

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2020

Jin, Ling, Corinne D Scown, Tin Ho, Tyler Huntington, and Wei Zhou. "Smelly-Odor Webtool (Smelly) v1." 2020.

Jin, Ling, Alina Lazar, James Sears, Annika Todd-Blick, 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.

Pre-print Article PDF

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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.

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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).

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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). Los Angeles, CA, USA: IEEE, 2019.

Todd-Blick, 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.

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Lazar, Alina, Ling Jin, C Anna Spurlock, Kesheng Wu, Alex Sim, and Annika Todd-Blick. "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.

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Spurlock, C Anna, James Sears, Gabrielle Wong-Parodi, Victor Walker, Ling Jin, Margaret Taylor, Andrew Duvall, Anand R Gopal, and Annika Todd-Blick. "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.

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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.

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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.

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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.

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2016

Jin, Ling, C Anna Spurlock, Sam Borgeson, Daniel Fredman, Liesel Hans, Siddharth Patel, and Annika Todd-Blick. Load Shape Clustering Using Residential Smart Meter Data: a Technical Memorandum. 2016.