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.

Email  /  Google Scholar  /  LinkedIn  /  CV

profile photo

Research

project image

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

project image

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.

project image

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

project image

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

project image

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

project image

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

project image

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

project image

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

project image

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

project image

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

project image

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

project image

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




Projects

project image

Performance of Right-Turn Lane Designs at Intersections


Project
2020-12-04
paper /

Cool sites from Jon Barron's website. Thanks for Leonid Keselman's Jekyll template