Research Highlights

Improving Bicycle Crash Prediction for Urban Road Segments

Sirisha Kothuri
Krista Nordback , Wesley Marshall
The 2010 Highway Safety Manual (HSM) provides methods for predicting the number of motor vehicle crashes on various roadway facilities (AASHTO, 2010). However, it includes only a simplistic method for predicting the number of bicycle-related crashes. The research team investigated the bicycle-specific crash data in eight potential study areas around the U.S.: Arlington, VA (city/county); Bellingham, WA (city); Boulder, CO (city); Denver, CO (city/county); Minneapolis and St. Paul, MN (cities)... Read More

Data-Driven Optimization for E-Scooter System Design

Jianqiang Cheng
Are e-scooters just the first sign of a shared-mobility revolution? If they are, then researchers at the University of Arizona intend to make sure that the emerging transportation system has functional models on par with other modes of transportation. In 2018, approximately 100 U.S. cities had already launched shared e-scooter programs, accounting for 38.5 million trips. However, the models to manage e-scooter sharing are only recently being developed. In a project funded by the National Inst... Read More