173 citations · 187 across the 4 of their papers we have counts for
6 papers · 1 filter
NYC Recovery at a Glance: The Rise of Buses and Micromobility
Suzana Duran Bernardes, Zilin Bian, Siva Sooryaa Muruga Thambiran +9
New York City (NYC) is entering Phase 4 of the state's reopening plan, starting July 20, 2020. This white paper updates travel trends observed during the first three reopening phas…
Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles
Jingqin Gao, Abhinav Bhattacharyya, Ding Wang +11
Six months into the pandemic and one month after the phase four reopening in New York City (NYC), restrictions are lifting, businesses and schools are reopening, but global infecti…
A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City
Brian Yueshuai He, Jinkai Zhou, Ziyi Ma +5
Evaluation of the demand for emerging transportation technologies and policies can vary by time of day due to spillbacks on roadways, rescheduling of travelers' activity patterns,…
A stochastic user-operator assignment game for microtransit service evaluation: A case study of Kussbus in Luxembourg
Tai-Yu Ma, Joseph Y. J. Chow, Sylvain Klein +1
This paper proposes a stochastic variant of the stable matching model from Rasulkhani and Chow [1] which allows microtransit operators to evaluate their operation policy and resour…
A user-operator assignment game with heterogeneous user groups for empirical evaluation of a microtransit service in Luxembourg
Tai-Yu Ma, Joseph Y. J. Chow, Sylvain Klein +1
We tackle the problem of evaluating the impact of different operation policies on the performance of a microtransit service. This study is the first empirical application using the…
Empirical validation of network learning with taxi GPS data from Wuhan, China
Susan Jia Xu, Qian Xie, Joseph Y. J. Chow +1
In prior research, a statistically cheap method was developed to monitor transportation network performance by using only a few groups of agents without having to forecast the popu…