Publications

2024
Impacts of remote work on vehicle miles traveled and transit ridership in the USA, Yunhan Zheng, Shenhao Wang, Liu Lun, Aloisi Jim, and Jinhua Zhao , Nature Cities, (2024)
MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model, Leong, Michael, Abdelhalim Awad, Ha Jude, Patterson Diane, Pincus Gabriel, Harris Anthony, Eichler Michael, and Jinhua Zhao , Transportation Research Record, (2024)
Modeling virus transmission risks in commuting with emerging mobility services: A case study of COVID-19, Baichuan Mo, Peyman Noursalehi, Haris N. Koutsopoulos, and Jinhua Zhao , Travel Behaviour and Society, Volume 34, (2024)
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for travel behavior analysis?, Qingyi Wang, Shenhao Wang, Yunhan Zheng, Lin Hongzhou, Xiaohu Zhang, Jinhua Zhao, and Walker Joan , Transportation Research Part B, Volume 179, (2024)
Computer Vision for Transit Travel Time Prediction: An End-to-End Framework Using Roadside Urban Imagery, Abdelhalim, Awad, and Jinhua Zhao , Public Transport, (2024)
Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks, Qingyi Wang, Shenhao Wang, Zhuang Dingyi, Haris Koutsopoulos, and Jinhua Zhao , IEEE Transactions on Intelligent Transportation Systems, (2024)
Robust Transit Frequency Setting Problem With Demand Uncertainty, Xiaotong Guo, Baichuan Mo, Haris N. Koutsopoulos, Shenhao Wang, and Jinhua Zhao , IEEE Transactions on Intelligent Transportation Systems, (2024)
2023
Evaluating the travel impacts of a shared mobility system for remote workers, Caros, Nicholas S., and Jinhua Zhao , Transportation Research Part D, (2023)
Reconstructing Transit Vehicle Trajectory Using High-Resolution GPS Data, Huang, Yuzhu, Abdelhalim Awad, Anson Stewart, Jinhua Zhao, and Haris Koutsopoulos , 2023 IEEE 26th International Conference on Intelligent Transportation Systems, 09/2023, Bilbao, Spain, (2023)
Predicting drivers’ route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network, Mo, Baichuan, Wang Qingyi, Guo Xiaotong, Winkenbach Matthias, and Zhao Jinhua , Transportation Research Part E: Logistics and Transportation Review, 05/2023, Volume 175, Issue 103168, (2023)
Can Mobility of Care be Identified from Transit Fare Card Data? A Case Study in Washington D.C., Shuman, Daniela, Abdelhalim Awad, Stewart Anson F., Campbell Kayleigh, Patel Mira, de Madariaga Ines Sanchez, and Jinhua Zhao , Findings, 05/2023, (2023)
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks, Wang, Zepu, Zhuang Dingyi, Li Yankai, Jinhua Zhao, Sun Peng, Shenhao Wang, and Hu Yulin , 2023 IEEE 26th International Conference on Intelligent Transportation Systems, Bilbao, Bizkaia, Spain, (2023)
Dissolving the Segmentation of a Shared Mobility Market: A Framework and Four Market Structure Designs, Xiaotong Guo, Qu Ao, Hongmou Zhang, Peyman Noursalehi, and Jinhua Zhao , Transportation Research Part C: Emerging Technologies, Volume 157, (2023)
Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty, Baichuan Mo, Haris N. Koutsopoulos, Shen Zuo-Jun Max, and Jinhua Zhao , Transportation Research Part B: Methodological, (2023)
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks, Zhuang, Dingyi, Bu Yuheng, Wang Guang, Shenhao Wang, and Jinhua Zhao , Temporal Graph Learning Workshop @ NeurIPS 2023, 11/2023, (2023)
Depth‐damage curves for rail rapid transit infrastructure, Martello, Michael V., Whittle Andrew J., and Lyons-Galante Hannah R. , Journal of Flood Risk Management, Jan-03-2023, Volume 1637, Issue 12, (2023)
Understanding multi-homing and switching by platform drivers, Xiaotong Guo, Haupt Andreas, Wang Hai, Qadri Rida, and Jinhua Zhao , Transportation Research Part C: Emerging Technologies, 09/2023, Volume 154, (2023)
Impacts of congestion pricing on ride-hailing ridership: Evidence from Chicago, Yunhan Zheng, Meredith-Karam Patrick, Anson Stewart, Hui Kong, and Jinhua Zhao , Transportation Research Part A: Policy and Practice, (2023)
Cooperative Bus Holding and Stop-skipping: A Deep Reinforcement Learning Framework, Rodriguez, Joseph, Haris N. Koutsopoulos, Shenhao Wang, and Jinhua Zhao , Transportation Research Part C: Emerging Technologies, 10/2023, Volume 155, (2023)
Discount Rate Selection for Investments in Climate Change Adaptation and Flood Risk Reduction Projects, Martello, Michael V., and Whittle Andrew J. , Journal of Management in Engineering, Jan-07-2023, Volume 3960, Issue 43, (2023)
Train following model for urban rail transit performance analysis, Saidi, Saeid, Haris N. Koutsopoulos, Wilson Nigel H. M., and Jinhua Zhao , Transportation Research Part C: Emerging Technologies, Volume 148, (2023)
Fairness-enhancing deep learning for ride-hailing demand prediction, Yunhan Zheng, Qingyi Wang, Zhuang Dingyi, Shenhao Wang, and Jinhua Zhao , IEEE Open Journal of Intelligent Transportation Systems , 07/2023, Volume 4, (2023)
Estimating coastal flood damage costs to transit infrastructure under future sea level rise, Martello, Michael V., and Whittle Andrew J. , Communications Earth & Environment, Jan-12-2023, Volume 4, Issue 137, (2023)
Examining the interactions between working from home, travel behavior and change in car ownership due to the impact of COVID-19, Yunhan Zheng, Caros Nicholas S., Aloisi Jim, and Jinhua Zhao , Travel Behaviour and Society, 10/2023, Volume 33, (2023)
2022
Identifying Hidden Visits from Sparse Call Detail Record Data, Zhan Zhao, Haris N. Koutsopoulos, and Jinhua Zhao , Transactions in Urban Data, Science, and Technology, (2022)
Ridership and Operations Visualization Engine: An Integrated Transit Performance and Passenger Journey Visualization Engine, Caros, Nicholas, Xiaotong Guo, Anson Stewart, John Attanucci, Smith Nicholas, Nioras Dimitris, Gartsman Anna, and Zimmer Alissa , Transportation Research Record, (2022)
Gender differences in the user satisfaction and service quality improvement priority of public transit bus system in Porto Alegre and Fortaleza, Brazil, Yunhan Zheng, Hui Kong, Petzhold Guillermo, Barcelos Mariana M., Zegras Christopher P., and Jinhua Zhao , Travel Behaviour and Society, (2022)
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning, Sun, Yiwen, Hu Wenzheng, Zhou Donghua, Baichuan Mo, Fu Kun, Che Zhengping, Wang Zheng, Shenhao Wang, Jinhua Zhao, Ye Jieping, et al. , IEEE Transactions on Intelligent Transportation Systems, (2022)
Data-driven Vehicle Rebalancing with Predictive Prescriptions in the Ride-hailing System, Xiaotong Guo, Qingyi Wang, and Jinhua Zhao , IEEE Open Journal of Intelligent Transportation Systems, (2022)
Motivations for Watching Videos on Mobile Phones While Driving in Parking lots and While Waiting at Intersections in the United States, Gao, Jake, Jackson Jason, and Jinhua Zhao , Transportation Research Part F: Traffic Psychology and Behaviour, (2022)
The Braess's Paradox in Dynamic Traffic, Zhuang, Dingyi, Huang Yuzhu, Jayawardana Vindula, Jinhua Zhao, Suo Dajiang, and Wu Cathy , 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), (2022)
Inferring Passenger Responses to Urban Rail Disruptions Using Smart Card Data: A Probabilistic Framework, Baichuan Mo, Haris N. Koutsopoulos, and Jinhua Zhao , Transportation Research Part E, (2022)
Impact of Unplanned Long-Term Service Disruptions on Urban Public Transit Systems, Baichuan Mo, Von Franque Max Y., Haris N. Koutsopoulos, Attanucci John P., and Jinhua Zhao , IEEE Open Journal of Intelligent Transportation Systems, (2022)
Ex-Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach, Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, and Jinhua Zhao , Transporation Science, (2022)
Proof of Travel for Trust-Based Data Validation in V2I Communication, Suo, Dajiang, Baichuan Mo, Jinhua Zhao, and Sarma Sanjay , IEEE Internet of Things Journal, (2022)
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks, Zhuang, Dingyi, Shenhao Wang, Haris Koutsopoulos, and Jinhua Zhao , The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (2022)
2021
Robust Matching-Integrated Vehicle Rebalancing in Ride-hailing System with Uncertain Demand, Xiaotong Guo, Nicholas S. Caros, and Jinhua Zhao , Transportation Research Part B, (2021)
The impact of social externality information on fostering sustainable travel mode choice: A behavioral experiment in Zhengzhou, China, Luo, Rachel, Fan Yichun, Yang Xin, Jinhua Zhao, and Zheng Siqi , Transportation Research Part A: Policy and Practice, (2021)
User satisfaction and service quality improvement priority of bus rapid transit in Belo Horizonte, Brazil, Yunhan Zheng, Hui Kong, Petzhold Guillermo, Barcelos Mariana M., Zegras Christopher P., and Jinhua Zhao , Case Studies on Transport Policy, (2021)
Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective, Shenhao Wang, Qingyi Wang, Nate Bailey, and Jinhua Zhao , Transportation Research Part B, (2021)
Comparison of Door-to-Door Transit Travel Time Estimation Using Schedules, Real-Time Vehicle Arrivals, and Smartcard Inference Methods, Li, Ting, Patrick S. Meredith-Karam, Hui Kong, Anson Stewart, Attanucci John P., and Jinhua Zhao , Transportation Research Record, (2021)
E-scooter sharing to serve short-distance transit trips: a Singapore Case, Zhejing Cao, Xiaohu Zhang, Chua Kelman, Yu Honghai, and Jinhua Zhao , Transportation Research Part A, (2021)
Evaluation of climate change resilience for Boston’s rail rapid transit network, Martello, Michael V., Whittle Andrew J., Keenan Jesse M., and Salvucci Frederick P. , Transportation Research Part D: Transport and Environment, Jan-08-2021, Volume 97, p.102908, (2021)
Impacts of subjective evaluations and inertia from use of existing travel modes on adoption of autonomous mobility-on-demand, Baichuan Mo, Wang Qing Yi, Joanna Moody, Yu Shen, and Jinhua Zhao , Transportation Research Part C, (2021)
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks, Shenhao Wang, Baichuan Mo, and Jinhua Zhao , Transportation Research Part B, (2021)
The Mobility Pattern of Dockless Bike Sharing: A Four-month Study in Singapore, Xiaohu Zhang, Yu Shen, and Jinhua Zhao , Transportation Research Part D, (2021)
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models, Yunhan Zheng, Shenhao Wang, and Jinhua Zhao , Transportation Research Part C, (2021)
Measuring policy leakage of Beijing’s car ownership restriction, Yunhan Zheng, Joanna Moody, Shenhao Wang, and Jinhua Zhao , Transportation Research Part A: Policy and Practice, (2021)
The Relationship between Transportation Network Companies and Public Transit in Chicago: a comparison before and after COVID-19 shutdowns, Meredith-Karam, Patrick, Hui Kong, Shenhao Wang, and Jinhua Zhao , Journal of Transport Geography, (2021)
Predictive decision support platform and its application in crowding prediction and passenger information generation, Peyman Noursalehi, Haris N. Koutsopoulos, and Jinhua Zhao , Transportation Research Part C, (2021)
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, and Jinhua Zhao , Journal of Advanced Transportation, (2021)
Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach, Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos, and Jinhua Zhao , IEEE Transactions on Intelligent Transportation Systems, (2021)
Competition between Shared Autonomous Vehicles and Public Transit: A Case Study in Singapore, Baichuan Mo, Zhejing Cao, Hongmou Zhang, Yu Shen, and Jinhua Zhao , Transportation Research Part C, (2021)
Examining the Discrepancies between Self-Reported and Actual Commuting Behavior at the Individual Level, Su, Tianyu, Renda M.Elena, and Jinhua Zhao , Transportation Research Record, (2021)
2020
How does Ridesourcing Substitute for Public Transit? A geospatial perspective in Chengdu, China, Hui Kong, Xiaohu Zhang, and Jinhua Zhao , Journal of Transport Geography, (2020)
ICT’s Impacts on Ride-hailing Use and Individual Travel, Hui Kong, Joanna Moody, and Jinhua Zhao , Transportation Research Part A, (2020)
Capacity-Constrained Network Performance Model for Urban Rail Systems, Baichuan Mo, Zhenliang Ma, Haris Koutsopoulos, and Jinhua Zhao , Transportation Research Record, (2020)
Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-resolution Spatio-Temporal Deep Learning Approach, Peyman Noursalehi, Haris N. Koutsopoulos, and Jinhua Zhao , IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, (2020)
What prompts the adoption of car restriction policies among Chinese cities, Shenhao Wang, Joanna Moody, and Jinhua Zhao , International Journal of Sustainable Transportation, (2020)
Parking futures: An international review of trends and speculation, Rosenblum, Jeffrey, Hudson Anne W., and Ben-Joseph Eran , Land Use Policy, 01/2020, Volume 91, p.104054, (2020)
Travel Behavior as a Driver of Attitude: Car Use and Car Pride in U.S. Cities, Joanna Moody, and Jinhua Zhao , Transportation Research Part F: Traffic Psychology and Behaviour, (2020)
Deep Neural Networks for Choice Analysis: Architecture Design with Alternative-Specific Utility Functions, Shenhao Wang, Baichuan Mo, and Jinhua Zhao , Transportation Research Part C, (2020)
Estimating the Potential for Shared Autonomous Scooters, Kondor, Dániel, Xiaohu Zhang, Meghjani Malika, Paolo Santi, Jinhua Zhao, and Carlo Ratti , IEEE Transactions on Intelligent Transportation Systems, (2020)
Is Ridesourcing More Efficient than Taxis?, Hui Kong, Xiaohu Zhang, and Jinhua Zhao , Applied Geography, (2020)
Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation, Shenhao Wang, Qingyi Wang, and Jinhua Zhao , Transportation Research Part C: Emerging Technologies, (2020)
Machine-learning-augmented analysis of textual data: application in transit disruption management, Peyman Noursalehi, Koutsopoulos Haris N., and Jinhua Zhao , IEEE Open Journal of Intelligent Transportation Systems, (2020)
Discovering Latent Activity Patterns from Transit Smart Card Data: A Spatiotemporal Topic Model, Zhan Zhao, Haris Koutsopoulos, and Jinhua Zhao , Transportation Research Part C, (2020)
Adoption of Exclusive and Pooled TNC Services in Singapore and the U.S., Joanna Moody, and Jinhua Zhao , ASCE Journal of Transportation Engineering, Part A: Systems, Volume 146, Issue 9, (2020)
Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network, Baichuan Mo, Feng Kairui, Yu Shen, Tam Clarence, Li Daqing, Yin Yafeng, and Jinhua Zhao , Transportation Research Part C, (2020)
The Price of Privacy Control in Mobility Sharing, Martelli, F., Renda M. Elena, and Jinhua Zhao , Journal of Urban Technology, (2020)
Policies for autonomy: How American cities envision regulating automated vehicles, Yonah Freemark, Anne Hudson, and Jinhua Zhao , Urban Science, (2020)
Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data, Shenhao Wang, Qingyi Wang, and Jinhua Zhao , Journal of Choice Modelling, (2020)
2019
Rider-To-Rider Discriminatory Attitudes and Ridesharing Behavior, Joanna Moody, Scott Middleton, and Jinhua Zhao , Transportation Research Part F, (2019)
Public Perceptions of Autonomous Vehicle Safety: An International Comparison, Joanna Moody, Nate Bailey, and Jinhua Zhao , Safety Science, (2019)
Home-work Carpooling for Social Mixing, Federico Librino, Elena Renda, Giovanni Resta, Paolo Santi, Fabio Duarte, Carlo Ratti, and Jinhua Zhao , Transportation, Washington, D.C., (2019)
Discriminatory Attitudes between Ridesharing Passengers, Scott Middleton, and Jinhua Zhao , Transportation, (2019)
Demand Management of Congested Public Transport Systems: A Conceptual Framework and Application Using Smart Card Data, Anne Halvorsen, Haris Koutsopoulos, Zhenliang Ma, and Jinhua Zhao , Transportation, (2019)
Value of Demand Information in Autonomous Mobility-on-Demand Systems, Jian Wen, Neema Nassir, and Jinhua Zhao , Transportation Research Part A, (2019)
Are cities prepared for autonomous vehicles? Planning for technological change by U.S. local governments, Yonah Freemark, Anne Hudson, and Jinhua Zhao , Journal of the American Planning Association, (2019)
Transportation Policymaking in Beijing and Shanghai: Contributors, Obstacles, and Process, Jungwoo Chun, Joanna Moody, and Jinhua Zhao , Case Studies on Transport Policy, (2019)
Car Pride and its Bidirectional Relations with Car Ownership: Case Studies in New York City and Houston, Joanna Moody, and Jinhua Zhao , Transportation Research Part A, 06/2019, Volume 124, p.334-353, (2019)
Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective, Shenhao Wang, Qingyi Wang, and Jinhua Zhao , Working Paper, (2019)
A Randomized Controlled Trial in Travel Demand Management, Adam Rosenfield, John Attanucci, and Jinhua Zhao , Transportation, p.1-26, (2019)
Transportation Policy Profiles of Chinese City Clusters: A Mixed Method Approach, Joanna Moody, Shenhao Wang, Jungwoo Chun, Xuenan Ni, and Jinhua Zhao , Transportation Research Interdisciplinary Perspectives, (2019)
Risk Preference and Adoption of Autonomous Vehicles, Shenhao Wang, and Jinhua Zhao , Transportation Research Part A, (2019)
2018
Tangible Tools for Public Transportation Planning: Public Involvement and Learning for Bus Rapid Transit Corridor Design, Stewart, Anson F., P. Zegras Christopher, Tinn Phil, and Rosenblum Jeffrey L. , Transportation Research Record: Journal of the Transportation Research Board, 09/2018, Volume 2672, Issue 8, p.785 - 795, (2018)
Understanding the Usage of Stationless Bike Sharing in Singapore, Yu Shen, Xiaohu Zhang, and Jinhua Zhao , International Journal of Sustainable Transportation, (2018)
Transit-Oriented Autonomous Vehicle Operation with Integrated Demand-Supply Interaction, Jian Wen, Chen Leo, Neema Nassir, and Jinhua Zhao , Transportation Research Part C, (2018)
Impact of Built Environment on First- and Last-Mile Travel Mode Choice, Baichuan Mo, Yu Shen, and Jinhua Zhao , Transportation Research Record, (2018)
Real time transit demand prediction capturing station interactions and impact of special events, Peyman Noursalehi, Haris Koutsopoulos, and Jinhua Zhao , Transportation Research Part C, (2018)
Detecting Pattern Changes in Individual Travel Behavior: A Bayesian Approach, Zhan Zhao, Haris Koutsopoulos, and Jinhua Zhao , Transportation Research Part B, (2018)
Legitimacy vs morality: Why do the Chinese obey the law?, Jingkang Gao, and Jinhua Zhao , Law and Human Behavior, Volume 42, Issue 2, (2018)
Mobility Sharing as a Preference Matching Problem, Hongmou Zhang, and Jinhua Zhao , IEEE Transactions on Intelligent Transportation Systems, (2018)
Car Pride and its Behavioral Implications: An Exploration in Shanghai, Zhan Zhao, and Jinhua Zhao , Transportation, (2018)
Individual mobility prediction using transit smart card data, Zhan Zhao, Haris Koutsopoulos, and Jinhua Zhao , Transportation Research Part C, Volume 89, p.19-34, (2018)
Integrating Shared Autonomous Vehicle in Public Transportation System: A Supply-Side Simulation of the First-Mile Service in Singapore, Yu Shen, Hongmou Zhang, and Jinhua Zhao , Transportation Research Part A, (2018)
2017
Distributional Effects of Lotteries and Auctions —License Plate Regulations in Guangzhou, Shenhao Wang, and Jinhua Zhao , Transportation Research Part A: Policy and Practice, 11/2017, Volume 106, p.473–483, (2017)
Mapping transit accessibility: Possibilities for public participation, Anson Stewart , Transportation Research Part A: Policy and Practice, 04/2017, (2017)
Measuring Regularity of Individual Travel Patterns, Gabriel Goulet-Langlois, Haris Koutsopoulos, Zhan Zhao, and Jinhua Zhao , IEEE Transactions on Intelligent Transportation Systems, (2017)
Gaining Acceptance by Informing the People? Public Knowledge, Attitudes, and Acceptance of Transportation Policies, Menghan Li, and Jinhua Zhao , Journal of Planning Education and Research, 09/2017, (2017)
To Share or Not to Share: Investigating the Social Aspects of Dynamic Ridesharing, Javier Morales-Sarriera, German Escovar Á lvarez, Kelly Blynn, Andrew Aylesbury, Tim Scully, and Jinhua Zhao , Transportation Research Record: Journal of the Transportation Research Board, (2017)
Worse than Baumol's disease: The implications of labor productivity, contracting out, and unionization on transit operation costs, Javier Morales-Sarriera, Frederick Salvucci, and Jinhua Zhao , Transport Policy, 10/2017, Volume 61, p.10-16, (2017)
Redesigning Subway Map to Mitigate Bottleneck Congestion: An Experiment in Washington DC Using Mechanical Turk, Zhan Guo, Jinhua Zhao, Chris Whong, Prachee Mishra, and Lance Wyman , Transportation Research Part A, Volume 106, p.158–169, (2017)
2016
Inferring patterns in the multi-week activity sequences of public transport users, Gabriel Goulet Langlois , Transportation Research Part C: Emerging Technologies, Volume 64, p.1-16, (2016)
C-IMAGE: city cognitive mapping through geo-tagged photos, Liu Liu, Zhou Bolei, Jinhua Zhao, and Ryan Brent D. , GeoJournal, 08/2016, Volume 81, Issue 6, (2016)
Normative and Image Motivations for Compliance with Sustainable Transportation Policy, Jingkang Gao, and Jinhua Zhao , Urban Studies, (2016)
Reducing Subway Crowding: Analysis of an Off-peak Discount Experiment in Hong Kong, Anne Halvorsen, Haris Koutsopoulos, and Jinhua Zhao , Transportation Research Record: Journal of the Transportation Research Board, Washington, D.C., (2016)
Uncertainty in Bus Arrival Time Predictions: Treating Heteroscedasticity With a Metamodel Approach, Aidan O'Sullivan, Francisco Pereira, Jinhua Zhao, and Harilaos Koutsopoulos , IEEE Transactions on Intelligent Transportation Systems, Issue 99, p.1–11, (2016)
Shaping Rapidly Growing Chinese Cities: Lessons in the Behavioural Impacts of Transport Finance Choices, Jinhua Zhao, and David Block-Schachter , Improving Urban Access: New Approaches to Funding Transport Investment, London, (2016)
2015
Smart Devices and Travel Time Use by Bus Passengers in Vancouver, Canada, Zhan Guo, Alexandra Derian, and Jinhua Zhao , International Journal of Sustainable Transportation, Volume 9, Issue 5, p.335–347, (2015)
Hysteresis and Urban Rail: The Effects of Past Urban Rail on Current Residential and Travel Choices, David Block-Schachter, and Jinhua Zhao , European Journal of Transport and Infrastructure Research, Volume 15, Issue 1, p.78–91, (2015)
Method for Assessing Bus Delay in Mixed Traffic to Identify Transit Priority Improvement Locations in Cambridge, Massachusetts, Rosenblum, Jeffrey L., Allen Duncan W., Bennett Tegin L., Warade Ritesh K., and Stoughton Cleo M. , Transportation Research Record: Journal of the Transportation Research Board, 01/2015, Volume 2533, Issue 1, p.60 - 67, (2015)
Capacity Constrained Accessibility of High-Speed Rail, Yu Shen, and Jinhua Zhao , Transportation, p.1–28, (2015)
2014
Customer Loyalty Differences Between Captive and Choice Transit Riders, Jinhua Zhao, Valerie Webb, and Punit Shah , Journal of the Transportation Research Board, Volume 2415, p.80–88, (2014)
Measuring Bus Service Reliability: An Example of Bus Rapid Transit in Changzhou, Yueying Huo, Jinhua Zhao, Wenquan Li, and Xiaojian Hu , Journal of Public Transportation, Volume 17, Issue 2, p.113–133, (2014)
2013
Behavioral Impact of the Financing Collection Mechanism on Accessibility: Two Cases from Chinese Cities., Jinhua Zhao, and David Block-Schachter , (2013)
Automatic Data for Applied Railway Management: A Case Study on the London Overground, Michael Frumin, Jinhua Zhao, Nigel Wilson, and Zhan Zhao , Journal of the Transportation Research Board, Volume 2353, p.47–56, (2013)
Unified Estimator for Excess Journey Time under Heterogenous Passenger Incidence Behavior using Smartcard Data, Jinhua Zhao, Michael Frumin, Nigel Wilson, and Zhan Zhao , Transportation Research Part C, Volume 34, p.70–88, (2013)
Has Transportation Demand of Shanghai, China, Passed Its Peak Growth?, Zhan Zhao, Jinhua Zhao, and Qing Shen , Journal of the Transportation Research Board, Volume 2394, p.85–92, (2013)
2012
Bidding to Drive: Car License Auction Policy in Shanghai and Its Public Acceptance, Xiaojie Chen, and Jinhua Zhao , Transport Policy, Volume 27, p.39–53, (2012)
Analyzing Passenger Incidence Behavior in Heterogeneous Transit Services Using Smartcard Data and Schedule-Based Assignment, Michael Frumin, and Jinhua Zhao , Journal of the Transportation Research Board, Volume 2274, p.52–60, (2012)
2011
Subjective Measure of Car Dependence, Jinhua Zhao , Transportation Research Record, (2011)
Analysis of the Maximum Straight Line Length for Prairie Highway using Driver’s Heart Rate Variability, Yueying Huo, Wenquan Li, Jinhua Zhao, and Shoulin Zhu , International Journal of Computational Intelligence Systems, Volume 4, Issue 3, p.370–377, (2011)
A Subjective Measure of Car Dependence, Jinhua Zhao , Journal of the Transportation Research Board, Volume 2231, p.44–52, (2011)
2009
The Potential Impact of Automated Data Collection Systems on Urban Public Transport Planning, Nigel Wilson, Jinhua Zhao, and Adam Rahbee , Schedule-Based Modeling of Transportation Networks: Theory and Applications, p.75–99, (2009)
2007
Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems, Jinhua Zhao, Adam Rahbee, and Nigel Wilson , Computer-Aided Civil and Infrastructure Engineering, Volume 22, Issue 5, p.376–387, (2007)