activity
20162024
most citedUncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks

50 citations · 70 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SI20242 cited

Design of Transit-Centric Multimodal Urban Mobility System with Autonomous Mobility-on-Demand

Xiaotong Guo, Jinhua Zhao

This paper addresses the pressing challenge of urban mobility in the context of growing urban populations, changing demand patterns for urban mobility, and emerging technologies li…

cs.LG20234 cited

Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System

Xiaotong Guo, Hanyong Xu, Dingyi Zhuang +2

The rapid growth of the ride-hailing industry has revolutionized urban transportation worldwide. Despite its benefits, equity concerns arise as underserved communities face limited…

cs.AI2023

MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model

Michael Leong, Awad Abdelhalim, Jude Ha +5

Transit riders' feedback provided in ridership surveys, customer relationship management (CRM) channels, and in more recent times, through social media is key for transit agencies…

stat.AP20236 cited

The impacts of remote work on travel: insights from nearly three years of monthly surveys

Nicholas S. Caros, Xiaotong Guo, Yunhan Zheng +1

Remote work has expanded dramatically since 2020, upending longstanding travel patterns and behavior. More fundamentally, the flexibility for remote workers to choose when and wher…

stat.AP20232 cited

Examining the interactions between working from home, travel behavior and change in car ownership due to the impact of COVID-19

Yunhan Zheng, Nicholas Caros, Jim Aloisi +1

COVID-19 has disrupted society and changed how people learn, work and live. The availability of vaccines in the spring of 2021, however, led to a gradual return of many pre-pandemi…

cs.LG20231 cited

Fairness-enhancing deep learning for ride-hailing demand prediction

Yunhan Zheng, Qingyi Wang, Dingyi Zhuang +2

Short-term demand forecasting for on-demand ride-hailing services is one of the fundamental issues in intelligent transportation systems. However, previous travel demand forecastin…