Lu Ling
My research interests focus on artificial intelligence in social science, including behavior modeling, causal discovery, and deep learning for large-scale variables from time-series data, and provide solutions to facilitate efficient, effective, and interpretable generalizations in decision-support systems.
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Spatiotemporal impacts of human activities and socio-demographics during the COVID-19 outbreak in the US
BMC Public Health (2022)
Lu Ling, Xinwu Qian, Shuocheng Guo, Satish Ukkusuri
paper
Description: Activity and mobility prediction and interpretation
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Influencing factors for Right Turn Lane Crash Frequency Based on Geographically and Temporally Weighted Regression Models
Under review
Lu Ling, Wenbo Zhang, Jie Bao, Satish V. Ukkusuri
paper
Description: Geographically and Temporally modeling, Prediction and interpretation, Safety, Human Driver Behavior.
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Investigating the causal inference of vaccine on COVID-19 disease propagation based on Bayesian approach
Under review
Lu Ling, Satish Ukkusuri
paper
Description: Causality inference, Prediction and interpretation
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Modeling the causality of received information, certainty, and decision making in hurricane evacuations
Under review
Lu Ling, Satish V. Ukkusuri, Pamela Murray-Tuite, Seungyoon Lee, Yue ‘Gurt’ Ge
paper
Description: Causality inference, prediction and interpretation
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Evaluating Public Transportation Service in a Transit Hub based on Passengers Energy Cost
23rd International Conference on Intelligent Transportation Systems (2020)
Xiongfei Lai, Jing Teng, Lu Ling
paper
Description: Public transportation, Energy Cost
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Role of uncertainty and social networks on shadow evacuation and non-compliance behavior in hurricanes
Transportation Research Record (2020)
Lu Ling, Pamela Murray-Tuite, Seungyoon Lee, Yue ‘Gurt’ Ge, Satish V. Ukkusuri
paper
Description: Social network, Information perception, Human behavior, and interpretation
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Impact of Transportation Network Companies on Labor Supply and Wages for Taxi Drivers
Under review
Lu Ling, Xinwu Qian, Satish V. Ukkusuri
paper
Description: Ridesharing, taxi industry, driver work behavior, wage expectation
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Resilient Schedule Coordination for a Bus Transit Corridor
Journal of Advanced Transportation (2020)
Xiongfei Lai, Jing Teng, Paul Schonfeld, Lu Ling
paper
Description: Public transportation, Resilience
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Forecasting the gap between demand and supply of e-hailing vehicle in large scale of network based on two-stage model
IEEE Intelligent Transportation Systems Conference (2019)
Lu Ling, Xiongfei Lai, Feng Li
paper
Description: Ridesharing, Matching, Neural Network, Prediction
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Reliable feeder bus schedule optimization in a multi-mode transit system
International Conference on Intelligent Transportation Systems (2017)
Lu Ling, Feng Li
paper
Description: Bus Schedule Optimization, prediction and interpretation
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Analyzing the relationship between urban macroeconomic development and transport infrastructure system based on neural network
Green Intelligent Transportation Systems, Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 419) (2017)
Lu Ling, Feng Li, Linhui Cao
paper
Description: Transportation, Economy, Neural Network, Prediction
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Optimization of Regional Railway Fast Freight Transport Routes: Case Study of China’s Yangtze River Delta Area
Transportation Research Board (2016)
Lu Ling, Feng Li
paper
Description: Operation research
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Performance of Right-Turn Lane Designs at Intersections
Project
2020-12-04
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