87 citations · 285 across the 24 of their papers we have counts for
24 papers
Economies and Diseconomies of Scale in Segmented Mobility Sharing Markets
Hongmou Zhang, Xiaotong Guo, Jinhua Zhao
On-demand mobility sharing, provided by one or several transportation network companies (TNCs), is realized by real-time optimization algorithms to connect trips among tens of thou…
The Braess Paradox in Dynamic Traffic
Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana +3
The Braess's Paradox (BP) is the observation that adding one or more roads to the existing road network will counter-intuitively increase traffic congestion and slow down the overa…
Preparing urban mobility for the future of work
Nicholas S. Caros, Jinhua Zhao
A gradual growth in flexible work over many decades has been suddenly and dramatically accelerated by the COVID-19 pandemic. The share of flexible work days in the United States is…
Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty
Baichuan Mo, Haris N. Koutsopoulos, Max Zuo-Jun Shen +1
When there are significant service disruptions in public transit systems, passengers usually need guidance to find alternative paths. This paper proposes a path recommendation mode…
The emerging spectrum of flexible work locations: implications for travel demand and carbon emissions
Nicholas S. Caros, Xiaotong Guo, Jinhua Zhao
Many studies of the effect of remote work on travel demand assume that remote work takes place entirely at home. Recent evidence, however, shows that in the United States, remote w…
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
Yunhan Zheng, Shenhao Wang, Jinhua Zhao
Although researchers increasingly adopt machine learning to model travel behavior, they predominantly focus on prediction accuracy, ignoring the ethical challenges embedded in mach…
Identifying Hidden Visits from Sparse Call Detail Record Data
Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao
Despite a large body of literature on trip inference using call detail record (CDR) data, a fundamental understanding of their limitations is lacking. In particular, because of the…
Quantifying the Tradeoff Between Cybersecurity and Location Privacy
Dajiang Suo, M. Elena Renda, Jinhua Zhao
When it comes to location-based services (LBS), user privacy protection can be in conflict with security of both users and trips. While LBS providers could adopt privacy preservati…
Proof of Travel for Trust-Based Data Validation in V2I Communication
Dajiang Suo, Baichuan Mo, Jinhua Zhao +1
Previous work on misbehavior detection and trust management for Vehicle-to-Everything (V2X) communication security is effective in identifying falsified and malicious V2X data. Eac…
Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach
Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos +1
Individual mobility is driven by demand for activities with diverse spatiotemporal patterns, but existing methods for mobility prediction often overlook the underlying activity pat…
Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card and Train Movement Data
Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos +1
Transit network simulation models are often used for performance and retrospective analysis of urban rail systems, taking advantage of the availability of extensive automated fare…
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
Shenhao Wang, Baichuan Mo, Jinhua Zhao
Researchers often treat data-driven and theory-driven models as two disparate or even conflicting methods in travel behavior analysis. However, the two methods are highly complemen…
Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network
Baichuan Mo, Kairui Feng, Yu Shen +4
Passenger contact in public transit (PT) networks can be a key mediate in the spreading of infectious diseases. This paper proposes a time-varying weighted PT encounter network to…
Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data
Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos +1
Urban rail services are the principal means of public transportation in many cities. To understand the crowding patterns and develop efficient operation strategies in the system, o…
Competition between shared autonomous vehicles and public transit: A case study in Singapore
Baichuan Mo, Zhejing Cao, Hongmou Zhang +2
Emerging autonomous vehicles (AV) can either supplement the public transportation (PT) system or compete with it. This study examines the competitive perspective where both AV and…
Estimating the potential for shared autonomous scooters
Dániel Kondor, Xiaohu Zhang, Malika Meghjani +3
Recent technological developments have shown significant potential for transforming urban mobility. Considering first- and last-mile travel and short trips, the rapid adoption of d…
Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data
Shenhao Wang, Qingyi Wang, Jinhua Zhao
It is an enduring question how to combine revealed preference (RP) and stated preference (SP) data to analyze travel behavior. This study presents a framework of multitask learning…
Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation
Shenhao Wang, Qingyi Wang, Jinhua Zhao
While deep neural networks (DNNs) have been increasingly applied to choice analysis showing high predictive power, it is unclear to what extent researchers can interpret economic i…
Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective
Shenhao Wang, Qingyi Wang, Nate Bailey +1
While researchers increasingly use deep neural networks (DNN) to analyze individual choices, overfitting and interpretability issues remain as obstacles in theory and practice. By…
A novel method for predicting and mapping the presence of sun glare using Google Street View
Xiaojiang Li, Bill Yang Cai, Waishan Qiu +2
The sun glare is one of the major environmental hazards that cause traffic accidents. Every year, many people died and injured in traffic accidents related to sun glare. Providing…
Profiling presence patterns and segmenting user locations from cell phone data
Yan Leng, Haris Koutsopoulos, Jinhua Zhao
The dynamic monitoring of commuting flows is crucial for improving transit systems in fast-developing cities around the world. However, existing methodology to infer commuting orig…
Dynamic Pricing in Shared Mobility on Demand Service
Han Qiu, Ruimin Li, Jinhua Zhao
We consider a profit maximization problem in an urban mobility on-demand service, of which the operator owns a fleet, provides both exclusive and shared trip services, and dynamica…
Managing travel demand: Location recommendation for system efficiency based on mobile phone data
Yan Leng, Larry Rudolph, Alex 'Sandy' Pentland +2
Growth in leisure travel has become increasingly significant economically, socially, and environmentally. However, flexible but uncoordinated travel behaviors exacerbate traffic co…
Response delay as a strategy for survival in fluctuating environment
Xiao chuan Xue, Jinhua Zhao, Fei Liu +1
Response time-delay is an ubiquitous phenomenon in biological systems. Here we use a simple stochastic population model with time-delayed switching-rate conversion to quantitativel…