activity
20242026
most citedA data fusion approach for mobility hub impact assessment and location selection: integrating hub usage data into a large-scale mode choice model

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

econ.GN20261 cited

A data fusion approach for mobility hub impact assessment and location selection: integrating hub usage data into a large-scale mode choice model

Xiyuan Ren, Joseph Y. J. Chow

As cities grapple with traffic congestion and service inequities, mobility hubs offer a scalable solution to align increasing travel demand with sustainability goals. However, eval…

econ.GN2026

Distributional welfare impacts and compensatory transit strategies under NYC congestion pricing

Xiyuan Ren, Zhenglei Ji, Joseph Y. J. Chow

Early evaluations of NYC's congestion pricing program indicate overall improvements in vehicle speed and transit ridership. However, its distributional impacts remain understudied,…

cs.CY2025

On the modular platoon-based vehicle-to-vehicle electric charging problem

Zhexi Fu, Joseph Y. J. Chow

We formulate a mixed integer linear program (MILP) for a platoon-based vehicle-to-vehicle charging (PV2VC) technology designed for modular vehicles (MVs) and solve it with a geneti…

cs.LG2025

Non-myopic Matching and Rebalancing in Large-Scale On-Demand Ride-Pooling Systems Using Simulation-Informed Reinforcement Learning

Farnoosh Namdarpour, Joseph Y. J. Chow

Ride-pooling, also known as ride-sharing, shared ride-hailing, or microtransit, is a service wherein passengers share rides. This service can reduce costs for both passengers and o…

eess.SY2024

Intersection-Aware Assessment of EMS Accessibility in NYC: A Data-Driven Approach

Haoran Su, Joseph Y. J. Chow

Emergency response times are critical in densely populated urban environments like New York City (NYC), where traffic congestion significantly impedes emergency vehicle (EMV) mobil…