173 citations · 800 across the 20 of their papers we have counts for
6 papers · 1 filter
Online route choice modeling for Mobility-as-a-Service networks with non-separable, congestible link capacity effects
Susan Jia Xu, Joseph Y. J. Chow
With the prevalence of MaaS systems, route choice models need to consider characteristics unique to them. MaaS systems tend to involve service systems with fleets of vehicles; as a…
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…
A many-to-many assignment game and stable outcome algorithm to evaluate collaborative Mobility-as-a-Service platforms
Theodoros P. Pantelidis, Joseph Y. J. Chow, Saeid Rasulkhani
As Mobility as a Service (MaaS) systems become increasingly popular, travel is changing from unimodal trips to personalized services offered by a platform of mobility operators. Ev…
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…
Forecasting e-scooter substitution of direct and access trips by mode and distance
Mina Lee, Joseph Y. J. Chow, Gyugeun Yoon +1
An e-scooter trip model is estimated from four U.S. cities: Portland, Austin, Chicago and New York City. A log-log regression model is estimated for e-scooter trips based on user a…
A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers
Tai-Yu Ma, Saeid Rasulkhani, Joseph Y. J. Chow +1
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…