Bio
I am a professor and founder. My research integrates behavior science and computation to shape behavior, design system, and reform policies. I also explore how artificial intelligence unlocks new opportunities for cities, jobs and education. I lead urban mobility research at MIT, and are lead principal investigator of "AI, Human and Organization: Mens, Manus, and Machina".
I teach the following courses at MIT:
How are ideas born: Research Design
Behavior Science, AI and Urban Mobility
Quantitative Reasoning and Statistical Method
Mobility Innovation and Ventures
Experience
Position title
Professor of Cities and Transportation, 2013 ~ present
MIT Department of Urban Studies and Planning
MIT Department of Civil and Environmental Engineering
MIT Institute of Data, System and Society
Founder and Faculty Director, MIT Mobility Initiative, 2020 ~ present
Director, MIT Transit Lab, 2014 ~ present
Director, MIT JTL Urban Mobility Lab, 2013 ~ present
Co-director, Mobility System Center, MIT Energy Initiative, 2020 ~ 2022
Teaching Awards
MIT, Committed to Caring Award, 2018
MIT Award for Excellence in Teaching, Graduate Student Council, 2009
MIT Award for Excellence in Teaching, Graduate Student Council, 2006
PUBLICATIONS
Papers in Refereed Journals
[1] H. Fu, S. Ye, X. Fu, T. Chen, and J. Zhao, “New insights into factors affecting the severity of autonomous vehicle crashes from two sources of AV incident records,” Travel Behaviour and Society, vol. 38, p. 100934, 2025.
[2] Y. Zheng, S. Wang, L. Liu, J. Aloisi, and J. Zhao, “Impacts of remote work on vehicle miles traveled and transit ridership in the USA,” Nature Cities, pp. 1–13, 2024.
[3] Y. Zheng, D. R. Keith, S. Wang, M. Diao, and J. Zhao, “Effects of electric vehicle charging stations on the economic vitality of local businesses,” Nature Communications, vol. 15, no. 1, p. 7437, 2024.
[4] S. Wang, B. Mo, Y. Zheng, S. Hess, and J. Zhao, “Comparing hundreds of machine learning and discrete choice models for travel demand modeling: An empirical benchmark,” Transportation Research Part B: Methodological, vol. 190, p. 103061, 2024.
[5] Q. Wang, S. Wang, D. Zhuang, H. Koutsopoulos, and J. Zhao, “Uncertainty quantification of spatiotemporal travel demand with probabilistic graph neural networks,” IEEE Transactions on Intelligent Transportation Systems, 2024.
[6] Q. Wang et al., “Deep hybrid model with satellite imagery: How to combine demand modeling and computer vision for travel behavior analysis?,” Transportation Research Part B: Methodological, vol. 179, p. 102869, 2024.
[7] Y. Tang et al., “Robust Reinforcement Learning Strategies with Evolving Curriculum for Efficient Bus Operations in Smart Cities,” Smart Cities, vol. 7, no. 6, pp. 3658–3677, 2024.
[8] B. Mo, P. Noursalehi, H. N. Koutsopoulos, and J. Zhao, “Modeling virus transmission risks in commuting with emerging mobility services: A case study of COVID-19,” Travel Behaviour and Society, vol. 34, p. 100689, 2024.
[9] P. Meredith-Karam, H. Kong, A. Stewart, and J. Zhao, “Understanding and comparing the public transit and ride-hailing ridership change in Chicago during COVID-19 via statistical and survey approaches,” Travel Behaviour and Society, vol. 37, p. 100838, 2024.
[10] M. Leong et al., “MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model,” Transportation Research Record, p. 03611981231225655, 2024.
[11] X. Jiang et al., “Simulating Integration of Urban Air Mobility into Existing Transportation Systems: Survey,” Journal of Air Transportation, vol. 32, no. 3, pp. 97–107, 2024.
[12] X. Jiang et al., “Simulation-Based Optimization for Vertiport Location Selection: A Surrogate Model With Machine Learning Method,” Transportation Research Record, p. 03611981241277755, 2024.
[13] X. Guo, B. Mo, H. N. Koutsopoulos, S. Wang, and J. Zhao, “Robust Transit Frequency Setting Problem With Demand Uncertainty,” IEEE Transactions on Intelligent Transportation Systems, 2024.
[14] N. S. Caros and J. Zhao, “The need for an interdisciplinary approach to remote work and urban policy,” Nature Cities, vol. 1, no. 9, pp. 547–554, 2024.
[15] A. Abdelhalim and J. Zhao, “Computer vision for transit travel time prediction: an end-to-end framework using roadside urban imagery,” Public Transport, pp. 1–26, 2024.
[16] A. Abdelhalim et al., “Inferring mobility of care travel behavior from transit smart fare card data,” Journal of Public Transportation, vol. 26, p. 100104, 2024.
[17] Y. Zheng, Q. Wang, D. Zhuang, S. Wang, and J. Zhao, “Fairness-enhancing deep learning for ride-hailing demand prediction,” IEEE Open Journal of Intelligent Transportation Systems, 2023.
[18] Y. Zheng, P. Meredith-Karam, A. Stewart, H. Kong, and J. Zhao, “Impacts of congestion pricing on ride-hailing ridership: Evidence from Chicago,” Transportation Research Part A: Policy and Practice, vol. 170, p. 103639, 2023.
[19] Y. Zheng, N. S. Caros, J. Aloisi, and J. Zhao, “Examining the interactions between working from home, travel behavior and change in car ownership due to the impact of COVID-19,” Travel Behaviour and Society, vol. 33, p. 100634, 2023.
[20] D. Suo, B. Mo, J. Zhao, and S. E. Sarma, “Proof of Travel for Trust-Based Data Validation in V2I Communication,” IEEE Internet of Things Journal, vol. 10, no. 11, pp. 9565–9584, 2023.
[21] D. Shuman et al., “Can Mobility of Care be Identified from Transit Fare Card Data? A Case Study in Washington DC,” Findings, 2023.
[22] S. Saidi, H. N. Koutsopoulos, N. H. Wilson, and J. Zhao, “Train following model for urban rail transit performance analysis,” Transportation Research Part C: Emerging Technologies, vol. 148, p. 104037, 2023.
[23] J. Rodriguez, H. N. Koutsopoulos, S. Wang, and J. Zhao, “Cooperative bus holding and stop-skipping: A deep reinforcement learning framework,” Transportation Research Part C: Emerging Technologies, vol. 155, p. 104308, 2023.
[24] B. Mo, Q. Wang, X. Guo, M. Winkenbach, and J. Zhao, “Predicting drivers’ route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network,” Transportation Research Part E: Logistics and Transportation Review, vol. 175, p. 103168, 2023.
[25] B. Mo, Z. Ma, H. N. Koutsopoulos, and J. Zhao, “Ex post path choice estimation for urban rail systems using smart card data: An aggregated time-space hypernetwork approach,” Transportation Science, vol. 57, no. 2, pp. 313–335, 2023.
[26] X. Guo, A. Qu, H. Zhang, P. Noursalehi, and J. Zhao, “Dissolving the segmentation of a shared mobility market: A framework and four market structure designs,” Transportation Research Part C: Emerging Technologies, vol. 157, p. 104397, 2023.
[27] X. Guo, A. Haupt, H. Wang, R. Qadri, and J. Zhao, “Understanding multi-homing and switching by platform drivers,” Transportation Research Part C: Emerging Technologies, vol. 154, p. 104233, 2023.
[28] J. Gao, J. Jackson, and J. Zhao, “Motivations for watching videos on mobile phones while driving in parking lots and while waiting at intersections in the United States,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 92, pp. 155–175, 2023.
[29] N. S. Caros and J. Zhao, “Evaluating the travel impacts of a shared mobility system for remote workers,” Transportation Research Part D: Transport and Environment, vol. 121, p. 103798, 2023.
[30] Y. Zheng, H. Kong, G. Petzhold, M. M. Barcelos, C. P. Zegras, and J. Zhao, “Gender differences in the user satisfaction and service quality improvement priority of public transit bus system in Porto Alegre and Fortaleza, Brazil,” Travel Behaviour and Society, vol. 28, pp. 22–37, 2022.
[31] Z. Zhao, H. N. Koutsopoulos, and J. Zhao, “Identifying hidden visits from sparse call detail record data,” Transactions in Urban Data, Science, and Technology, vol. 1, no. 3–4, pp. 121–141, 2022.
[32] Y. Sun et al., “Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 12, pp. 23231–23243, 2022.
[33] T. Su, M. Elena Renda, and J. Zhao, “Examining the discrepancies between self-reported and actual commuting behavior at the individual level,” Transportation research record, vol. 2676, no. 2, pp. 118–131, 2022.
[34] B. Mo, M. Y. Von Franque, H. N. Koutsopoulos, J. P. Attanucci, and J. Zhao, “Impact of Unplanned Long-Term Service Disruptions on Urban Public Transit Systems,” IEEE Open Journal of Intelligent Transportation Systems, vol. 3, pp. 551–569, 2022.
[35] B. Mo, H. N. Koutsopoulos, and J. Zhao, “Inferring passenger responses to urban rail disruptions using smart card data: A probabilistic framework,” Transportation Research Part E: Logistics and Transportation Review, vol. 159, p. 102628, 2022.
[36] Y. Huo, J. Zhao, X. Li, and C. Guo, “Using fuzzy clustering of user perception to determine the number of level-of-service categories for bus rapid transit,” Journal of Public Transportation, vol. 24, p. 100017, 2022.
[37] X. Guo, Q. Wang, and J. Zhao, “Data-Driven Vehicle Rebalancing With Predictive Prescriptions in the Ride-Hailing System,” IEEE Open Journal of Intelligent Transportation Systems, vol. 3, pp. 251–266, 2022.
[38] Y. Freemark, N. Nassir, and J. Zhao, “Multimodal Relationships: Shared and Autonomous Vehicles and High-Capacity Public Transit,” Shared Mobility and Automated Vehicles, pp. 119–144, 2022.
[39] N. Caros and J. Zhao, “Ride-Pooling Matching for Flexible Work: Incorporating Alternative Destinations, Facility Constraints and Group Dependencies,” Facility Constraints and Group Dependencies, 2022.
[40] Y. Zheng, S. Wang, and J. Zhao, “Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models,” Transportation Research Part C: Emerging Technologies, vol. 132, p. 103410, 2021.
[41] Y. Zheng, J. Moody, S. Wang, and J. Zhao, “Measuring policy leakage of Beijing’s car ownership restriction,” Transportation Research Part A: Policy and Practice, vol. 148, pp. 223–236, 2021.
[42] Y. Zheng, H. Kong, G. Petzhold, M. M. Barcelos, C. P. Zegras, and J. Zhao, “User satisfaction and service quality improvement priority of bus rapid transit in Belo Horizonte, Brazil,” Case Studies on Transport Policy, vol. 9, no. 4, pp. 1900–1911, 2021.
[43] X. Zhang, Y. Shen, and J. Zhao, “The mobility pattern of dockless bike sharing: A four-month study in Singapore,” Transportation Research Part D: Transport and Environment, vol. 98, p. 102961, 2021.
[44] S. Wang, Q. Wang, N. Bailey, and J. Zhao, “Deep neural networks for choice analysis: A statistical learning theory perspective,” Transportation Research Part B: Methodological, vol. 148, pp. 60–81, 2021.
[45] S. Wang, J. Moody, and J. Zhao, “What prompts the adoption of car restriction policies among Chinese cities,” International Journal of Sustainable Transportation, vol. 15, no. 7, pp. 559–570, 2021.
[46] S. Wang, B. Mo, and J. Zhao, “Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks,” Transportation Research Part B: Methodological, vol. 146, pp. 333–358, 2021.
[47] P. Noursalehi, H. N. Koutsopoulos, and J. Zhao, “Predictive decision support platform and its application in crowding prediction and passenger information generation,” Transportation Research Part C: Emerging Technologies, vol. 129, p. 103139, 2021.
[48] P. Noursalehi, H. N. Koutsopoulos, and J. Zhao, “Dynamic origin-destination prediction in urban rail systems: A multi-resolution spatio-temporal deep learning approach,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 6, pp. 5106–5115, 2021.
[49] X. Ni, J. Moody, and J. Zhao, “Framework for Country-Level Sustainable Transportation Policy Learning using Public Support as a Measure of Cultural Distance,” Transportation Research Record, vol. 2675, no. 3, pp. 263–273, 2021.
[50] B. Mo, Z. Zhao, H. N. Koutsopoulos, and J. Zhao, “Individual mobility prediction in mass transit systems using smart card data: An interpretable activity-based hidden Markov approach,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 8, pp. 12014–12026, 2021.
[51] B. Mo, Q. Y. Wang, J. Moody, Y. Shen, and J. Zhao, “Impacts of subjective evaluations and inertia from existing travel modes on adoption of autonomous mobility-on-demand,” Transportation Research Part C: Emerging Technologies, vol. 130, p. 103281, 2021.
[52] B. Mo, Z. Ma, H. N. Koutsopoulos, and J. Zhao, “Research Article Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card and Train Movement Data,” 2021.
[53] B. Mo, Z. Ma, H. N. Koutsopoulos, and J. Zhao, “Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card and Train Movement Data,” Journal of Advanced Transportation, vol. 2021, 2021.
[54] B. Mo et al., “Modeling epidemic spreading through public transit using time-varying encounter network,” Transportation Research Part C: Emerging Technologies, vol. 122, p. 102893, 2021.
[55] B. Mo, Z. Cao, H. Zhang, Y. Shen, and J. Zhao, “Competition between shared autonomous vehicles and public transit: A case study in Singapore,” Transportation Research Part C: Emerging Technologies, vol. 127, p. 103058, 2021.
[56] P. Meredith-Karam, H. Kong, S. Wang, and J. Zhao, “The relationship between ridehailing and public transit in Chicago: A comparison before and after COVID-19,” Journal of Transport Geography, vol. 97, p. 103219, 2021.
[57] F. Martelli, M. E. Renda, and J. Zhao, “The Price of Privacy Control in Mobility Sharing,” Journal of Urban Technology, vol. 28, no. 1–2, pp. 237–262, 2021.
[58] R. Luo, Y. Fan, X. Yang, J. Zhao, and S. Zheng, “The impact of social externality information on fostering sustainable travel mode choice: A behavioral experiment in Zhengzhou, China,” Transportation Research Part A: Policy and Practice, vol. 152, pp. 127–145, 2021.
[59] T. Li, P. Meredith-Karam, H. Kong, A. Stewart, J. P. Attanucci, and J. Zhao, “Comparison of Door-to-Door Transit Travel Time Estimation Using Schedules, Real-Time Vehicle Arrivals, and Smartcard Inference Methods,” Transportation Research Record, vol. 2675, no. 11, pp. 1003–1014, 2021.
[60] Y. Leng, J. Zhao, and H. Koutsopoulos, “Leveraging Individual and Collective Regularity to Profile and Segment User Locations from Mobile Phone Data,” ACM Transactions on Management Information Systems (TMIS), vol. 12, no. 3, pp. 1–22, 2021.
[61] D. Kondor, X. Zhang, M. Meghjani, P. Santi, J. Zhao, and C. Ratti, “Estimating the potential for shared autonomous scooters,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 5, pp. 4651–4662, 2021.
[62] X. Guo, N. S. Caros, and J. Zhao, “Robust matching-integrated vehicle rebalancing in ride-hailing system with uncertain demand,” Transportation Research Part B: Methodological, vol. 150, pp. 161–189, 2021.
[63] M. Diao, H. Kong, and J. Zhao, “Impacts of transportation network companies on urban mobility. Nature Sustainability, 4 (6), 494–500,” 2021.
[64] M. Diao, H. Kong, and J. Zhao, “Impacts of transportation network companies on urban mobility,” Nature Sustainability, vol. 4, no. 6, pp. 494–500, 2021.
[65] Z. Cao, X. Zhang, K. Chua, H. Yu, and J. Zhao, “E-scooter sharing to serve short-distance transit trips: A Singapore case,” Transportation Research Part A: Policy and Practice, vol. 147, pp. 177–196, 2021.
[66] Z. Zhao, H. N. Koutsopoulos, and J. Zhao, “Discovering latent activity patterns from transit smart card data: A spatiotemporal topic model,” Transportation Research Part C: Emerging Technologies, vol. 116, p. 102627, 2020.
[67] S. Wang, Q. Wang, and J. Zhao, “Multitask learning deep neural networks to combine revealed and stated preference data,” Journal of Choice Modelling, vol. 37, p. 100236, 2020.
[68] S. Wang, Q. Wang, and J. Zhao, “Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation,” Transportation Research Part C: Emerging Technologies, 2020.
[69] S. Wang, B. Mo, and J. Zhao, “Deep neural networks for choice analysis: Architecture design with alternative-specific utility functions,” Transportation Research Part C: Emerging Technologies, vol. 112, pp. 234–251, 2020.
[70] G. Tomaino et al., “Mobility as a service (MaaS): The importance of transportation psychology,” Marketing Letters, vol. 31, pp. 419–428, 2020.
[71] P. Noursalehi, H. N. Koutsopoulos, and J. Zhao, “Machine-learning-augmented analysis of textual data: application in transit disruption management,” IEEE Open Journal of Intelligent Transportation Systems, vol. 1, pp. 227–236, 2020.
[72] J. Moody and J. Zhao, “Travel behavior as a driver of attitude: Car use and car pride in US cities,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 74, pp. 225–236, 2020.
[73] J. Moody and J. Zhao, “Adoption of Exclusive and Pooled TNC Services in Singapore and the US,” Journal of Transportation Engineering, Part A: Systems, vol. 146, no. 9, p. 04020102, 2020.
[74] J. Moody, N. Bailey, and J. Zhao, “Public perceptions of autonomous vehicle safety: an international comparison,” Safety science, vol. 121, pp. 634–650, 2020.
[75] B. Mo, Z. Ma, H. N. Koutsopoulos, and J. Zhao, “Capacity-constrained network performance model for urban rail systems,” Transportation Research Record, vol. 2674, no. 5, pp. 59–69, 2020.
[76] S. Middleton and J. Zhao, “Discriminatory attitudes between ridesharing passengers,” Transportation, vol. 47, no. 5, pp. 2391–2414, 2020.
[77] H. Kong, X. Zhang, and J. Zhao, “Is ridesourcing more efficient than taxis?,” Applied Geography, vol. 125, p. 102301, 2020.
[78] H. Kong, X. Zhang, and J. Zhao, “How does ridesourcing substitute for public transit? A geospatial perspective in Chengdu, China,” Journal of Transport Geography, vol. 86, p. 102769, 2020.
[79] H. Kong, J. Moody, and J. Zhao, “ICT’s impacts on ride-hailing use and individual travel,” Transportation Research Part A: Policy and Practice, vol. 141, pp. 1–15, 2020.
[80] A. Halvorsen, H. N. Koutsopoulos, Z. Ma, and J. Zhao, “Demand management of congested public transport systems: a conceptual framework and application using smart card data,” Transportation, vol. 47, no. 5, pp. 2337–2365, 2020.
[81] Y. Freemark, A. Hudson, and J. Zhao, “Policies for Autonomy: How American Cities Envision Regulating Automated Vehicles,” Urban Science, vol. 4, no. 4, p. 55, 2020.
[82] Y. Xu et al., “Unraveling environmental justice in ambient PM2. 5 exposure in Beijing: A big data approach,” Computers, Environment and Urban Systems, vol. 75, pp. 12–21, 2019.
[83] J. Wen, N. Nassir, and J. Zhao, “Value of demand information in autonomous mobility-on-demand systems,” Transportation Research Part A: Policy and Practice, vol. 121, pp. 346–359, 2019.
[84] S. Wang and J. Zhao, “Risk preference and adoption of autonomous vehicles,” Transportation Research Part A: Policy and Practice, vol. 126, pp. 215–229, 2019.
[85] A. Rosenfield, J. P. Attanucci, and J. Zhao, “A randomized controlled trial in travel demand management,” Transportation, pp. 1–26, 2019.
[86] J. Moody and J. Zhao, “Car pride and its bidirectional relations with car ownership: Case studies in New York City and Houston,” Transportation Research Part A: Policy and Practice, vol. 124, pp. 334–353, 2019.
[87] J. Moody, S. Wang, J. Chun, X. Ni, and J. Zhao, “Transportation policy profiles of chinese city clusters: A mixed methods approach,” Transportation Research Interdisciplinary Perspectives, vol. 2, p. 100053, 2019.
[88] J. Moody, S. Middleton, and J. Zhao, “Rider-to-rider discriminatory attitudes and ridesharing behavior,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 62, pp. 258–273, 2019.
[89] F. Librino et al., “Home-work carpooling for social mixing,” Transportation, pp. 1–31, 2019.
[90] X. Li, B. Y. Cai, W. Qiu, J. Zhao, and C. Ratti, “A novel method for predicting and mapping the occurrence of sun glare using Google Street View,” Transportation Research Part C: Emerging Technologies, vol. 106, pp. 132–144, 2019.
[91] W. Green et al., “Insights into future mobility,” Massachusetts Institute of Technology, 2019.
[92] Y. Freemark, A. Hudson, and J. Zhao, “Are cities prepared for autonomous vehicles? Planning for technological change by US local governments,” Journal of the American Planning Association, vol. 85, no. 2, pp. 133–151, 2019.
[93] J. Chun, J. Moody, and J. Zhao, “Transportation policymaking in Beijing and Shanghai: Contributors, obstacles, and process,” Case Studies on Transport Policy, vol. 7, no. 4, pp. 718–731, 2019.
[94] Z. Zhao and J. Zhao, “Car pride and its behavioral implications: an exploration in Shanghai,” Transportation, pp. 1–18, 2018.
[95] Z. Zhao, H. N. Koutsopoulos, and J. Zhao, “Individual mobility prediction using transit smart card data,” Transportation Research Part C: Emerging Technologies, vol. 89, pp. 19–34, 2018.
[96] Z. Zhao, H. N. Koutsopoulos, and J. Zhao, “Detecting pattern changes in individual travel behavior: A Bayesian approach,” Transportation Research Part B: Methodological, vol. 112, pp. 73–88, 2018.
[97] H. Zhang and J. Zhao, “Mobility sharing as a preference matching problem,” IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 7, pp. 2584–2592, 2018.
[98] J. Wen, Y. X. Chen, N. Nassir, and J. Zhao, “Transit-oriented autonomous vehicle operation with integrated demand-supply interaction,” Transportation Research Part C: Emerging Technologies, vol. 97, pp. 216–234, 2018.
[99] Y. Shen, X. Zhang, and J. Zhao, “Understanding the usage of dockless bike sharing in Singapore,” International Journal of Sustainable Transportation, vol. 12, no. 9, pp. 686–700, 2018.
[100] Y. Shen, H. Zhang, and J. Zhao, “Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore,” Transportation Research Part A: Policy and Practice, vol. 113, pp. 125–136, 2018.
[101] P. Noursalehi, H. N. Koutsopoulos, and J. Zhao, “Real time transit demand prediction capturing station interactions and impact of special events,” Transportation Research Part C: Emerging Technologies, vol. 97, pp. 277–300, 2018.
[102] J. Morales-Sarriera, F. P. Salvucci, and J. Zhao, “Worse than Baumol’s Disease: Implications of Labor Productivity, Contracting Out, and Unionization on Transit Operation Costs,” Transport Policy, vol. 61, pp. 10–16, 2018.
[103] B. Mo, Y. Shen, and J. Zhao, “Impact of built environment on first-and last-mile travel mode choice,” Transportation research record, vol. 2672, no. 6, pp. 40–51, 2018.
[104] Y. Huo, W. Li, J. Zhao, and S. Zhu, “Modelling bus delay at bus stop,” Transport, vol. 33, no. 1, pp. 12–21, 2018.
[105] G. Goulet-Langlois, H. N. Koutsopoulos, Z. Zhao, and J. Zhao, “Measuring Regularity of Individual Travel Patterns,” IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 5, pp. 1583–1592, 2018.
[106] J. Gao and J. Zhao, “Legitimacy versus morality: Why do the Chinese obey the law?,” Law and Human Behavior, vol. 42, no. 2, p. 167, 2018.
[107] S. Wang and J. Zhao, “The Distributional Effects of Lotteries and Auctions—License Plate Regulations in Guangzhou,” Transportation Research Part A: Policy and Practice, vol. 106, pp. 473–483, 2017.
[108] Y. Shen, J. Zhao, J. de Abreu e Silva, and L. M. Martínez, “From accessibility improvement to land development: a comparative study on the impacts of Madrid-Seville high-speed rail,” Transportation Letters, vol. 9, no. 4, pp. 187–201, 2017.
[109] J. Morales Sarriera, G. Escovar Álvarez, K. Blynn, A. Alesbury, T. Scully, and J. Zhao, “To Share or Not To Share: Investigating the Social Aspects of Dynamic Ridesharing,” Transportation Research Record: Journal of the Transportation Research Board, no. 2605, pp. 109–117, 2017.
[110] M. Li and J. Zhao, “Gaining Acceptance by Informing the People? Public Knowledge, Attitudes, and Acceptance of Transportation Policies,” Journal of Planning Education and Research, 2017.
[111] C. Li et al., “Enabling Bus Transit Service Quality Co-Monitoring Through Smartphone-Based Platform,” Transportation Research Record, vol. 2649, no. 1, pp. 42–51, 2017.
[112] Z. Guo, J. Zhao, C. Whong, P. Mishra, and L. Wyman, “Redesigning Subway Map to Mitigate Bottleneck Congestion: An Experiment in Washington DC using Mechanical Turk,” Transportation Research Part A: Policy and Practice, vol. 106, pp. 158–169, 2017.
[113] Y. Shen and J. Zhao, “Capacity constrained accessibility of high-speed rail,” Transportation, pp. 1–28, 2016.
[114] A. O’Sullivan, F. C. Pereira, J. Zhao, and H. N. Koutsopoulos, “Uncertainty in Bus Arrival Time Predictions: Treating Heteroscedasticity With a Metamodel Approach,” IEEE Transactions on Intelligent Transportation Systems, no. 99, pp. 1–11, 2016.
[115] L. Liu, B. Zhou, J. Zhao, and B. D. Ryan, “C-IMAGE: city cognitive mapping through geo-tagged photos,” GeoJournal, vol. 81, no. 6, pp. 817–861, 2016.
[116] G. Goulet-Langlois, H. N. Koutsopoulos, and J. Zhao, “Inferring patterns in the multi-week activity sequences of public transport users,” Transportation Research Part C: Emerging Technologies, vol. 64, pp. 1–16, 2016.
[117] J. Gao and J. Zhao, “Normative and image motivations for transportation policy compliance,” Urban Studies, 2016.
[118] Y. Huo, J. Zhao, J. Zhang, and F. Qiu, “Development of Level-of-Service Criteria based on a Single Measure for BRT in China,” Journal of Public Transportation, vol. 18, no. 2, p. 2, 2015.
[119] Z. Guo, A. Derian, and J. Zhao, “Smart devices and travel time use by bus passengers in Vancouver, Canada,” International Journal of Sustainable Transportation, vol. 9, no. 5, pp. 335–347, 2015.
[120] D. Block-Schachter and J. Zhao, “Hysteresis & urban rail,” European Journal of Transport and Infrastructure Research, vol. 15, no. 1, pp. 78–91, 2015.
[121] J. Zhao, V. Webb, and P. Shah, “Customer loyalty differences between captive and choice transit riders,” Transportation Research Record, vol. 2415, no. 1, pp. 80–88, 2014.
[122] Y. Huo, J. Zhao, W. Li, and X. Hu, “Measuring Bus Service Reliability: An Example of Bus Rapid Transit in Changzhou,” Journal of Public Transportation, vol. 17, no. 2, pp. 113–133, 2014.
[123] Z. Zhao, J. Zhao, and Q. Shen, “Has Transportation Demand of Shanghai, China, Passed Its Peak Growth?,” Transportation Research Record, vol. 2394, no. 1, pp. 85–92, 2013.
[124] J. Zhao, M. Frumin, N. Wilson, and Z. Zhao, “Unified estimator for excess journey time under heterogeneous passenger incidence behavior using smartcard data,” Transportation Research Part C: Emerging Technologies, vol. 34, pp. 70–88, 2013.
[125] M. Frumin, J. Zhao, N. Wilson, and Z. Zhao, “Automatic Data for Applied Railway Management: Case Study on the London Overground,” Transportation Research Record, vol. 2353, no. 1, pp. 47–56, 2013.
[126] X. Chen and J. Zhao, “Bidding to drive: Car license auction policy in Shanghai and its public acceptance,” Transport Policy, vol. 27, pp. 39–52, 2013.
[127] M. Frumin and J. Zhao, “Analyzing passenger incidence behavior in heterogeneous transit services using smartcard data and schedule-based assignment,” Transportation Research Record, vol. 2274, no. 1, pp. 52–60, 2012.
[128] J. Zhao, “Subjective measure of car dependence,” Transportation Research Record, vol. 2231, no. 1, pp. 44–52, 2011.
[129] Y. Huo, W. Li, J. Zhao, and S. Zhu, “Analysis of the Maximum Straight Line Length for Prairie Highway using Driver’s Heart Rate Variability,” International Journal of Computational Intelligence Systems, vol. 4, no. 3, pp. 370–377, 2011.
[130] J. Zhao, A. Rahbee, and N. H. Wilson, “Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems,” Computer‐Aided Civil and Infrastructure Engineering, vol. 22, no. 5, pp. 376–387, 2007.
[131] D. Wang and J. Zhao, “Research and Development of Upgraded Urban System Analysis Package USAP,” City Planning Review, vol. 8, p. 015, 2002.
[132] D. Wang and J. Zhao, “HAP: A Computer Assisted Hinterland Division System its Development and Application,” City Planning Review, vol. 12, p. 011, 2000.
Papers in Refereed Conference Proceedings
Y. Tang et al., “ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning,” presented at the Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track, 2024, pp. 1413–1432.
D. Zhuang, Y. Bu, G. Wang, S. Wang, and J. Zhao, “SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks,” presented at the Temporal Graph Learning Workshop@ NeurIPS 2023, 2023.
Z. Wang et al., “ST-GIN: An uncertainty quantification approach in traffic data imputation with spatio-temporal graph attention and bidirectional recurrent united neural networks,” presented at the 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2023, pp. 1454–1459.
Y. Huang, A. Abdelhalim, A. Stewart, J. Zhao, and H. Koutsopoulos, “Reconstructing transit vehicle trajectory using high-resolution GPS data,” presented at the 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2023, pp. 5247–5253.
D. Zhuang, S. Wang, H. Koutsopoulos, and J. Zhao, “Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks,” presented at the Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022
D. Zhuang, Y. Huang, V. Jayawardana, J. Zhao, D. Suo, and C. Wu, “The Braess’s Paradox in Dynamic Traffic,” presented at the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2022
Su, Tianyu; Elena Renda, M; Zhao, Jinhua "Examining the discrepancies between self-reported and actual commuting behavior at the individual level" in Transportation Research Board Annual Meeting, 2022
Koch, Zade; Zhao, Jinhua; Rangavajhala, Sirisha; Miraglia, Peter "A Comparison of Pedestrian Injury Severity Crash Factors at Intersections and Non-Intersection Locations" in Transportation Research Board Annual Meeting, 2021
Li, Ting; Meredith-Karam, Patrick; Kong, Hui; Stewart, Anson; Attanucci, John P; Zhao, Jinhua "Comparison of Door-to-Door Transit Travel Time Estimation Using Schedules, Real-Time Vehicle Arrivals, and Smartcard Inference Methods" in Transportation Research Board Annual Meeting, 2021
Ni, Xuenan; Moody, Joanna; Zhao, Jinhua "Framework for Country-Level Sustainable Transportation Policy Learning using Public Support as a Measure of Cultural Distance" in Transportation Research Board Annual Meeting, 2021
Mo, Baichuan; Ma, Zhenliang; Koutsopoulos, Haris N; Zhao, Jinhua "Capacity-constrained network performance model for urban rail systems" in Transportation Research Board Annual Meeting, 2020
Rosenblum, Jeffrey L; Zhao, Jinhua; Arcaya, Mariana; Steil, Justin; Zegras, P Christopher "How Low-Income Transit Riders in Boston Respond to Discounted Fares: A Randomized Controlled Evaluation" in 2020 APPAM Fall Research Conference, 2020
Zhang, Hongmou; Zhao, Jinhua "Gender, Social Interaction, and Mobility Sharing" in Transportation Research Board Annual Meeting, 2019
Gillies, Benjamin; Zhao, Jinhua "Is There a Way? Is There a Will? Legal, Bureaucratic and Political Aspects of Automated Vehicle Regulation in Toronto, Canada" in Transportation Research Board Annual Meeting, 2019
Noursalehi, Peyman; Koutsopoulos, Haris N; Zhao, Jinhua "Predictive decision support for real-time crowding prediction and information generation" in Transportation Research Board Annual Meeting, 2019
Wang, Shenhao; Zhao, Jinhua "An Empirical Study of Using Deep Neural Network to Analyze Travel Mode Choice with Interpretable Economic Information" in Transportation Research Board Annual Meeting, 2019
Moody, Joanna; Bailey, Nathaniel; Zhao, Jinhua "International Comparison of Perceptions of Autonomous Vehicle Safety" in Transportation Research Board Annual Meeting, 2019
Freemark, Yonah; Hudson, Anne Woodbridge; Zhao, Jinhua "Are Cities Prepared for Autonomous Vehicles? Planning for Technological Change by U.S. Local Governments" in Transportation Research Board Annual Meeting, 2019
Moody, Joanna; Middleton, Scott; Zhao, Jinhua "Rider-To-Rider Discriminatory Attitudes and Ridesharing Behavior" in Transportation Research Board Annual Meeting, 2019
Shen, Yu; Mo, Baichuan; Zhang, Xiaohu; Zhao, Jinhua "Built Environment and Autonomous Vehicle Mode Choice: A First-Mile Scenario in Singapore" in Transportation Research Board Annual Meeting, 2019
Wang, Shenhao; Zhao, Jinhua "Adoption of Car Restriction Policies Across 287 Chinese Municipalities" in Transportation Research Board Annual Meeting, 2019
Saidi, Saeid; Wilson, Nigel HM; Koutsopoulos, Haris N; Zhao, Jinhua "Mesoscopic Modeling of Train Operations: Application to the MBTA Red Line" in 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019
Basu, Abhishek; Zhao, Jinhua; Koutsopoulos, Haris; Mishalani, Rabi "Data-driven customer segmentation and personalized information provision in public transit" in Proceedings of the TransitData Conference, 2019
Wang, Shenhao; Zhao, Jinhua "Trajectories of Urban Development and Motorization: Clustering 287 Chinese Cities" in Transportation Research Board Annual Meeting, 2018
Chun, Jungwoo; Moody, Joanna; Zhao, Jinhua "Transportation Policy Making in Beijing and Shanghai: Contributors, Obstacles, and Process" in Transportation Research Board Annual Meeting, 2018
Rosenfield, Adam; Attanucci, John; Zhao, Jinhua "Evaluating Parking Demand Management Interventions Using a Randomized Controlled Trial" in Transportation Research Board Annual Meeting, 2018
Zhao, Zhan; Koutsopoulos, Haris N; Zhao, Jinhua "Detecting Changes in Individual Travel Behavior Patterns" in Transportation Research Board Annual Meeting, 2018
Wang, Shenhao; Zhao, Jinhua "How Risk Preferences Influence the Usage of Autonomous Vehicles" in Transportation Research Board Annual Meeting, 2018
Wen, Jian; Zhao, Jinhua; Jaillet, Patrick "Rebalancing Shared Mobility-on-Demand Systems: A Reinforcement Learning Approach" in Transportation Research Board Annual Meeting, 2018
Librino, Federico; Renda, M Elena; Resta, Giovanni; Santi, Paolo; Duarte, Fabio; Ratti, Carlo; Zhao, Jinhua "Social Mixing and Home–Work Carpooling" in Transportation Research Board Annual Meeting, 2018
Qiu, Han; Li, Ruimin; Zhao, Jinhua "Dynamic Pricing in Shared Mobility on Demand Service and its Social Impacts" in Transportation Research Board Annual Meeting, 2018
Bailey, Nathaniel; Rosenfield, Adam; Zhao, Jinhua "Attitudes Toward Effective Time Use in Autonomous Mobility-on-Demand Services in Singapore" in Transportation Research Board 97th Annual Meeting, 2018
A. Stewart, J. Zhao and N.H.M. Wilson (2018) Accessibility-Based Reliability Metrics for Public Transport: Application of Automatic Vehicle Location Data with a Boston Case Study. the 7th International Symposium for Transport Network Reliability, Sydney, Australia
Nassir, Neema; Zhao, Jinhua; Attanucci, John; Salvucci, Frederick; Wilson, Nigel "Bayesian Inference of Passenger Boarding Strategies at Express Stops with Real-Time Bus Arrival Information" in Transportation Research Board 97th Annual Meeting, 2018
Shen, Yu; Zhao, Jinhua "Information Effect on Autonomous Vehicle Mode Choice: A Randomized Control Trial Experiment" in Transportation Research Board 97th Annual Meeting, 2018
Freemark, Yonah; Zhao, Jinhua "Embedding Planning Principles into Autonomous Vehicle Deployment: An Urban Agenda" in Transportation Research Board 97th Annual Meeting, 2018
Zhang, Hongmou; Renda, M Elena; Zhao, Jinhua "Mobility Sharing with Time Flexibility: A Theoretical Model" in Transportation Research Board 97th Annual Meeting, 2018
Z. Zhao, H.N. Koutsopoulos, and J. Zhao (2018) Discovering Latent Activity Patterns from Human Mobility, ACM KDD UrbComp - the 7th International Workshop on Urban Computing, London, UK
Zhao, Zhan; Koutsopoulos, Haris N; Zhao, Jinhua "Mobility as a Language: Predicting Individual Mobility in Public Transportation using N-Gram Models" in Transportation Research Board Annual Meeting, 2017
Rosenfield, Adam; Zhao, Jinhua "Quality of Travel Time Use: Definition and Measurement" in Transportation Research Board Annual Meeting, 2017
Zhang, Hongmou; Zhao, Jinhua "The Tradeoff Between Efficiency and Fellow Passenger Preference: A Preference-Based Ridesharing Model" in Transportation Research Board Annual Meeting, 2017
Shen, Yu; Zhang, Hongmou; Zhao, Jinhua "Embedding Autonomous Vehicle Sharing in Public Transit System: An Example of Last-Mile Problem" in Transportation Research Board Annual Meeting, 2017
Morales Sarriera, Javier; Salvucci, Frederick P; Zhao, Jinhua "What Drives the Costs of Transit Operations? The Implications of Labor Productivity, Contracting Out, and Unionization" in Transportation Research Board Annual Meeting, 2017
Dawes, Margo; Zhao, Jinhua "User Identification of and Attitude Toward Dynamic Ridesourcing Services" in Transportation Research Board Annual Meeting, 2017
Guo, Zhan; Zhao, Jinhua; Whong, Chris; Mishra, Prachee; Wyman, Lance "Redesigning Subway Map to Mitigate Bottleneck Congestion: An Experiment in Washington DC Using Mechanical Turk" in Transportation Research Board Annual Meeting, 2017
Gao, Jingkang; Zhao, Jinhua "Traffic Law Compliance by Chinese Drivers: Demographics and Motivations" in Transportation Research Board Annual Meeting, 2017
Scully, Tim; Attanucci, John; Zhao, Jinhua "Incorporating Mobile Activity Tracking Data in a Transit Agency: Collecting, Comparing, and Trip Mode Inference" in Transportation Research Board 96th Annual Meeting, 2017
Leng, Y., Rudolph, L., Zhao, J., & Koutsopolous, H. N. (2017). Synergistic data-driven travel demand management based on phone records. ACM KDD UrbComp 2017, Halifax, Canada
J. Wen, J. Zhao and P. Jaillet (2017) Rebalancing Shared Mobility-on-Demand Systems: a Reinforcement Learning Approach. IEEE 20th International Conference on Intelligent Transportation Systems, Yokohama, Japan
Z. Zhao, H.N. Koutsopoulos, J. Zhao (2017) Predicting the Next Trip of Individual Public Transportation Passengers. IEEE 20th International Conference on Intelligent Transportation Systems, Yokohama, Japan
Li, Menghan; Zhao, Jinhua "Can We Increase Policy Acceptance by Informing the Public? Policy Knowledge and Attitude of Shanghai’s License Plate Auction" in Transportation Research Board Annual Meeting, 2016
Moody, Joanna; Goulet-Langois, Gabriel; Alexander, Lauren; Campbell, Jonathan; Zhao, Jinhua "Measuring Explicit and Implicit Social Status Bias in Car vs. Bus Mode Choice" in Transportation Research Board Annual Meeting, 2016
Gao, Jingkang; Zhao, Jinhua "Normative Motivation and Image Motivation for Compliance with Sustainable Transportation Policy" in Transportation Research Board Annual Meeting, 2016
Zheng, Ruishan; Zhao, Jinhua "Establishing Transit-Oriented Development (TOD) on the Ground: Case-Based Analysis of Implementing TOD in China" in Transportation Research Board Annual Meeting, 2016
Leng, Y., Rudolph, L., Pentland, A. S., Zhao, J., & Koutsopolous, H. N. (2016). Managing travel demand: Location recommendation for system efficiency based on mobile phone data. Bloomberg Data For Good Exchange.
Goulet Langlois, Gabriel; Koutsopoulos, Haris N; Zhao, Jinhua "Clustering the Multi-week Activity Sequences of Public Transport Users" in Transportation Research Board Annual Meeting, 2016
Block-Schachter, David; Zhao, Jinhua; Shen, Yu "Ghosts in the machine: The influence of proximity to past rail on current auto ownership" in Transportation Research Board 95th Annual Meeting, 2016
Halvorsen, Anne; Koutsopoulos, Haris N; Lau, Stephen; Au, Tom; Zhao, Jinhua "Reducing Subway Crowding: Analysis of an Off-peak Discount Experiment in Hong Kong" in Transportation Research Board 95th Annual Meeting, 2016
Li, Corinna; Zegras, P Christopher; Zhao, Fang; Pereira, Francisco; Nawarathne, Kalan Vishwanath; Qin, Zhengquan; Ben-Akiva, Moshe; Zhao, Jinhua "FMS-TQ: Combining Smartphone and iBeacon Technologies in a Transit Quality Survey" in Transportation Research Board 95th Annual Meeting, 2016
Zhao, Zhan; Zhao, Jinhua; Koutsopoulos, Haris N "Individual-Level Trip Detection using Sparse Call Detail Record Data based on Supervised Statistical Learning" in Transportation Research Board 95th Annual Meeting, 2016
Bailey, Nathaniel; Doyle, Timothy Patton; Ogunbekun, Tolulope; Zhao, Jinhua "A Ride to Remember: Experienced Vs. Remembered Emotion on Public Transit" in Transportation Research Board 95th Annual Meeting, 2016
Shen, Yu; Zhao, Jinhua; de Abreu e Silva, João; Martínez, Luis Miguel "Cross-City Comparison: Impacts of Madrid-Seville High-Speed Rail on Population Growth" in Transportation Research Board 95th Annual Meeting, 2016
Shen, Yu; Zhao, Jinhua; de Abreu e Silva, João; Martinez, Luis Miguel "Agglomeration and Diversification: Bilevel Analysis of 15-Year Impacts of Madrid-Seville High-Speed Rail" in Transportation Research Board Annual Meeting, 2015
Shen, Yu; Zhao, Jinhua "Capacity Constrained Accessibility" in Transportation Research Board Annual Meeting, 2015
Michel, Alyona; Zhao, Jinhua "Modeling Saliency in Transportation Pricing: Optimal Mixture of Automobile Management Policies" in Transportation Research Board Annual Meeting, 2015
Li, Corinna; Zhao, Jinhua "Humanizing Travel: How E-hail Apps Transform Stakeholder Relationships in the U.S. Taxi Industry" in Transportation Research Board Annual Meeting, 2015
Zhao, Zhan; Zhao, Jinhua "Car Pride: Psychological Structure and Behavioral Implications" in Transportation Research Board Annual Meeting, 2015
Castro, Marisol; Zhao, Jinhua "Price as a Signal for Policy Fine-Tuning: A Time-Series Model of Shanghai's License Auction" in Transportation Research Board 94th Annual Meeting Compendium of Papers, 2015
Zhao, Jinhua; Wang, Zhongyue "The Formation of a Transport Policy Market in China: From Policy Transfer to Policy Mobility" in Transportation Research Board Annual Meeting, 2014
Zhao, Jinhua; Chen, Xiaojie; Block-Schachter, David "Superficial Fairness in Beijing’s Car License Lottery Policy" in Transportation Research Board 93rd Annual Meeting, 2014
Welsh, Brittany; Baird, Timothy; Zhao, Jinhua; Block-Schachter, David "Web App Design to Implement Travel Behavioral Nudging Using" Moves"" in Transportation Research Board 93rd Annual Meeting, 2014
Yang, Ming; Wang, Qiuning; Zhao, Jinhua; Zacharias, John "Rise and Decline of the Bicycle in Beijing" in Transportation Research Board 93rd Annual Meeting, 2014
Baird, Tim; Zhao, Jinhua "Nudging’Active Travel: A Framework for Behavioral Interventions Using Mobile Technology" in Transportation Research Board Annual Meeting, 2014
Guo, Zhan; Derian, Alexandra; Zhao, Jinhua; Transportation Research Board "Smart Devices and Travel Time Use by Bus Passengers in Vancouver, Canada" in Transportation Research Board Annual Meeting, 2013
Zhao, Jinhua; Lee, Joanne "Experience or Memory: Happiness of Commuting" in Transportation Research Board Annual Meeting, 2013
Zhao, Jinhua; Frumin, Michael; Wilson, Nigel H M; Zhao, Zhan "Unified Estimator For Excess Journey Time Under Heterogeneous Passenger Incidence Behavior Using Smartcard Data" in Transportation Research Board Annual Meeting, 2013
Block-Schachter, David; Zhao, Jinhua "Hysteresis and Urban Rail" in Transportation Research Board Annual Meeting, 2013
Chen, Xiaojie; Zhao, Jinhua "Shanghai’s Nonlocal Vehicles as a Dilemma in Transportation Policy Transfer from Singapore" in Transportation Research Board Annual Meeting, 2013
Zhao, Jinhua; Lung, Allison; Guo, Zhan "Quantity and quality of productive commuting time use in a university setting: A Heckman model" in Transportation Research Board 92nd Annual Meeting, 2013
Campbell, Rupert; Zhao, Jinhua "Beijinger Life Aspirations and Implications for Transportation Planning" in Transportation Research Board 92nd Annual Meeting, 2013
Chen, Xiaojie; Zhao, Jinhua "Car Owners as a Supporting Constituency of Car-Deterring Policies: Preference Variations in Shanghais Car Licensing Policy" in Transportation Research Board 92nd Annual Meeting, 2013
Tse, Cindy; Zhao, Jinhua "DISENTANGLE CAUSAL DIRECTION: ENVIRONMENTAL ATTITUDES AND TRAVEL BEHAVIOR OF THE VANCOUVER YOUTH" in World Conference on Transport Research Society, 2013
Curro, Maria; Zhao, Jinhua "An Ethnic Perspective: Controversy of Senior’s Licensing Policy in Ontario and British Columbia" in World Conference on Transport Research Society, 2013
Chen, Tracy (Xiao Jie); Zhao, Jinhua "Bidding to Drive: Car License Auction Policy in Shanghai and Its Public Acceptance" in Transportation Research Board Annual Meeting, 2012
Tse, Cindy; Zhao, Jinhua "Environmental Knowledge and Environmental Attitudes on Transportation of Chinese Youth" in Transportation Research Board Annual Meeting, 2012
Gallop, Christopher; Tse, Cindy; Zhao, Jinhua "A Seasonal Autoregressive Model of Vancouver Bicycle Traffic Using Weather Variables" in Transportation Research Board Annual Meeting, 2012
Book Chapters
2022 Y. Freemark, N. Nassir, and J. Zhao, “Multimodal relationships: shared and automated vehicles and high-capacity public transit,” Shared Mobility and Automated Vehicles: Responding to Socio-Technical Changes and Pandemics
2021 Fang, Wanli; Zheng, Yunhan; Diao, Mi; Zhao, Jinhua Dispersion of agglomeration through high-speed rail in China Urban Form and Accessibility
2021 Ma, Zhenliang; Koutsopoulos, Haris N; Halvorsen, Anne; Zhao, Jinhua 2021 Demand management in urban railway systems: strategy, design, evaluation, monitoring and technology Handbook of Public Transport Research
2020 Zhao, Zhan; Koutsopoulos, Haris N; Zhao, Jinhua 2020 Uncovering spatiotemporal structures from transit smart card data for individual mobility modeling Demand for Emerging Transportation Systems
2016 Zhao, Jinhua; Block-Schachter, David 2016 Shaping rapidly growing Chinese cities Improving Urban Access: New Approaches to Funding Transport Investment
2008Wilson, Nigel HM; Zhao, Jinhua; Rahbee, Adam 2008 The potential impact of automated data collection systems on urban public transport planning Schedule-Based Modeling of Transportation Networks
Committees
Chair, MIT Transportation Education Committee which manages two degree programs: Master of Science in Transportation and Interdepartmental PhD in Transportation. 2020-present
Chair, MIT PhD program in Urban Studies and Planning, 2019-2023
Member, MIT Schwarzman College of Computing, Common Ground Committee, 2020-present
Member, MIT Schwarzman College of Computing, AI & Mobility Taskforce, 2020-present
Member, MIT Energy Council, 2021-present
Member, World Economic Forum Global Future Council on the Future of Autonomous Mobility, 2023-present
Member, Monash Commission on the Liveable Metropolis, 2020-present
Advisory Board Member, Global Partnership for Informal Transportation, 2020-present
Editorial Board Member, Transportation Research, 2021-present
Swiss National Science Foundation, Reviewer of Interdisciplinary Funding Application, 2018-2019
Reviewers, Academic Journals in City Planning and Transportation, 2009-present
Reviewer, U.S. Department of Energy, Advanced Research Projects Agency – Energy (ARPA-E), 2014-2015
Contacts
jinhua@jzresearch.org