A5088378121- Traffic and Road Safety
- Urban Transport and Accessibility
- Injury Epidemiology and Prevention
- Transportation Planning and Optimization
- Human-Automation Interaction and Safety
- Traffic Prediction and Management Techniques
- Transportation and Mobility Innovations
- Vehicle emissions and performance
- Autonomous Vehicle Technology and Safety
- Occupational Health and Safety Research
- Air Quality and Health Impacts
- Automotive and Human Injury Biomechanics
- Sharing Economy and Platforms
- Traffic control and management
- Noise Effects and Management
- Obesity, Physical Activity, Diet
- Sleep and Work-Related Fatigue
- Risk and Safety Analysis
- Safety Warnings and Signage
- Health disparities and outcomes
- Energy, Environment, and Transportation Policies
- Urban Green Space and Health
- Transportation Safety and Impact Analysis
- Infrastructure Maintenance and Monitoring
- Graphite, nuclear technology, radiation studies
University of California, San Diego
2023-2024
UC San Diego Health System
2024
Massachusetts Institute of Technology
2019-2023
Urban Institute
2022
University of Tennessee at Knoxville
2016-2021
Knoxville College
2016-2017
National University of Sciences and Technology
2017
Shivaji University
2014
Traffic incidents occur frequently on urban roadways and cause incident-induced congestion. Predicting incident duration is a key step in managing these events. Ordinary least squares (OLS) regression models can be estimated to relate the mean of data with its correlates. Because presence larger incidents, distributions are often right-skewed; that is, OLS model underpredicts durations incidents. Therefore, this study applies modeling technique known as quantile predict more accurately...
Traditionally, evaluation of intersection safety has been largely reactive, based on historical crash frequency data. However, the emerging data from Connected and Automated Vehicles (CAVs) can complement help in proactively identify intersections which have high levels variability instantaneous driving behaviors prior to occurrence crashes. Based Safety Pilot Model Deployment Ann Arbor, Michigan, this study developed a unique database that integrates inventory with more than 65 million...
To improve transportation safety, this study applies Highway Safety Manual (HSM) procedures to roadways while accounting for unobserved heterogeneity and exploring alternative functional forms Performance Functions (SPFs). Specifically, several are considered in Poisson Poisson-gamma modeling frameworks. Using 5 years (2011–2015) of crash, traffic, road inventory data two-way, two-lane roads Tennessee, fixed- random-parameter count models calibrated. The account important methodological...
The enormous loss of life, as well economic loss, incurred by road traffic crashes means that rigorous research efforts, especially in developing countries, are needed to investigate risk factors significantly influence crash severity. objective this study is explore empirically the impact driver and vehicle characteristics, environmental conditions collision pattern on motorway (freeway) past 7 years’ worth data (2009–2015) crashes, collected National Highway Motorway Police Pakistan, used...
Evidence connecting health care expenditures with physical activity and built environment is rare. We examined how detailed urban form relates to mode specific moderate-to-vigorous (MVPA) costs—controlling for transit access, residential choices/preferences, sociodemographic factors. harness high resolution data 476 participants in the Rails Health study on costs, MVPA, parcel-level environment, neighborhood perception surveys. To account dependencies among outcomes, structural equation...