Page 17 - Annual Report - interactive demo

Natalia Villanueva Rosales, Assistant Professor of Computer Science at UTEP, has been named a recipient of the 2019 Great Minds in STEM Hispanic Engineer National Achievement Awards Conference Education Award.
UTEP Professor Wins 2019 Great Minds in STEM Hispanic Engineer Award
Villanueva Rosales joins 26 other scientists, engineers, educators and STEM professionals who will receive awards that recognize the achievements of the country’s top engineers and scientists within the Hispanic community during the 31st annual Great Minds in STEM Conference Sept. 25-28 in Lake Buena Vista, Florida.
Villanueva Rosales’s work aims to improve the efficiency and effectiveness of the discovery, integration, and trust of scientific data and models. Her work links human and machine knowledge to address problems in areas that require interdisciplinary research and international collaborations such as the sustainability of water resources and planning of smart cities.
Villanueva Rosales is passionate about encouraging and supporting women and Hispanics pursuing a career or education in science and engineering. This is the second national award she will receive this year. On May 14, she was awarded the 2019 Undergraduate Research Mentoring Award from the National Center for Women and Information Technology (NCWIT) in Nashville, Tennessee.
A Dynamic Ridesharing Dispatch and Idle Vehicle Repositioning Strategy with Integrated Transit Transfers
Tai-Yu Ma, Saeid Rasulkhani, Joseph Y. J. Chow, and Sylvain Klein
Transportation Research Part E: Logistics and Transportation Review Volume 128, August 2019
We propose a ridesharing strategy with integrated transit in which a private on-demand mobility service operator may drop off a passenger directly door-to-door, commit to dropping them at a transit station or picking up from a transit station, or to both pickup and drop off at two different stations with different vehicles. Results suggest that rideshare vehicle travel time can drop by 40–60% consistently while passenger journey times can be reduced by 50–60% when demand is high. A case study of Long Island commuters to New York City (NYC) suggests having the proposed operating strategy can substantially cut user journey times and operating costs by up to 54% and 60% each for a range of 10–30 taxis initiated per zone. This result shows that there are settings where such service is highly warranted.
Effects of Charging Infrastructure and Non-Electric Taxi Competition on Electric Taxi Adoption Incentives in New York City
Jaeyoung Jung, Joseph Y. J. Chow
Transportation Research Record Volume 2673, Issue 4, April 2019
With major investments in electric taxis emerging around the world, there is a need to better understand resource allocation trade-offs in subsidizing electric vehicle taxis (e-taxis) and investing in electric charging infrastructure. This is addressed using simulation experiments conducted in New York City : 2016 taxi pickups/drop-offs, a Manhattan road network and 212 charging stations specified by a 2013 Taxi & Limousine Commission study. The study finds that the number of charging locations recommended in the earlier study may be insufficient at some locations even under the 3,000+ e-taxi scenarios. More importantly, despite an average revenue of $260 per taxi for the 7,000 non-electric taxis and about $247 per taxi
for electric taxis over the finite charger scenarios, the revenue gap between e-taxis and non-electric taxis in a mixed fleet increases significantly as the e-taxi share increases. This has implications for individual versus whole-fleet policies, as the individual-oriented policies may be less effective.
C2SMART Center Annual Report 16