Journal Articles

Published research from TBD Center investigators — organized by year.

100+Articles

8Institutions

2023–2026Coverage

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2026

1
Alhassan, V.O., Yu, F., Batur, I., Magassy, T.B., Dimas Valle, J.R., Salon, D., Bhat, C.R., and Pendyala, R.M. Investigating the Influence of Alternative Survey Participant Recruitment Strategies on Measurement and Inference of Mobility Patterns.
Data Science for Transportation, 8, 10.
2
Batur, I., Mondal, A., Alhassan, V.O., Asmussen, K.E., Bhat, C.R., and Pendyala, R.M. The Induced Demand Implications of Alternative Adoption Modalities of Automated Vehicles.
Transport Policy, 175, 103879.
3
Bhat, C.R. A New Flexible Skewed Bimodal Distribution with Multivariate Extensions: Theory and Application to Traffic Crash Injury Severity Analysis.
Transportation Research Part B, 204, 103364.
4
Chen, C., Wang, R., Bansal, P., Chen, L., Ugurel, E., Zhang, Y., and Wu, X. From Biases to Opportunities: Leveraging Location-Based-Service (LBS) Data for Next-Generation Transportation Planning.
Transportation Research Part C.
5
Choi, S.-E., Kim, I., Wang, X., Soria, J., and Mokhtarian, P.L. How Has the Importance of Factors Influencing Telework Adoption Changed Over Time? Observing Pre- to Late-Pandemic Trends Using Multi-Year Data from Two US Regions.
Travel Behaviour & Society 44, 101233.
6
Conway, A. and Conway, M. The Community Impacts of Ecommerce Warehousing Growth: A Case Study of Berks County, Pennsylvania, USA.
Research in Transportation Economics, 101722.
7
Feng, G., Li, Y., Tok, A.Y.C., and Ritchie, S.G. Domain Informed Vision Language Model for Sustainable Freight with Drayage Truck Powertrain and Cargo Classification.
npj Sustainable Mobility and Transport 3, 15.
8
Hwang, U., Mokhtarian, P.L., Koo, B.W., and Guhathakurta, S. Perceived Streetscape Quality and Bike Lane Effectiveness: A Computer Vision Approach.
Transportation Research Part D 154, 105248.
9
Kim, I. and Mokhtarian, P.L. How Much Do Attitudinal Variables Improve Travel Demand Models? Evaluation Using an Overlap Sample from an Attitude-rich Survey and the 2017 National Household Travel Survey.
Transportation Research Part A, 104998.
10
Kim, S.H., Wang, X., and Mokhtarian, P.L. Quantifying Aggregate-Level Telework Occasions and Their Impacts on Vehicle-Miles Traveled in the US.
Technological Forecasting and Social Change.
11
Li, Y. and Zhang, M. Understanding the Emerging Interregional Travel Amid Shifting Societal and Technological Trends.
Travel Behavior and Society, 42, 101133.
12
Oshanreh, M.M., Khan, N.A., and MacKenzie, D. Propagating Synthetic Populations with Dynamic Bayesian Networks: A Framework for Long-Horizon Demographic Forecasting.
Travel Behaviour and Society 43, 101226.
13
Rezapour Fardin, F., Morvan-Chevestre, M.L., and Conway, A. How Teleworking Affects Online Shopping and Home Delivery: A Joint Modeling Perspective from Post-Pandemic New York City.
Transportation Research Interdisciplinary Perspectives.
14
Robbennolt, D., Haddad, A.J., and Bhat, C.R. A Rank-Based Model of Residential Location Preferences Before and During the COVID-19 Pandemic.
Transportation Research Part A, 203, 104780.
15
Robbennolt, D., Pendyala, R.M., and Bhat, C.R. Data Collection, Weighting, and Modeling Techniques to Estimate Consistent Population Parameters.
Transportation Research Part B, 203, 103349.
16
Tu, Y., Oshanreh, M.M., Khaloei, M., Khan, N.A., and MacKenzie, D. Effect of Trip Attributes on Ridehailing Driver Trip Request Acceptance.
International Journal of Sustainable Transportation 20(4), 362–373.
17
Wang, Z., Oshanreh, M.M., and MacKenzie, D. A Hybrid Temporal-Spatial Framework for Understanding Public EV Charging Usage Patterns: Evidence from Bay Area.
Sustainable Cities and Society 136, 107052.
18
Yang, Y., Li, X., Guo, Y., MacKenzie, D., Qian, X., and Liu, H. Understanding Joint Travel–Charging Decisions of Battery Electric Vehicle Users During Typhoons.
Transportation Research Part D 154.

2025

1
Haddad, A.J., Hwang, H., Batur, I., Pendyala, R.M., and Bhat, C.R. Walking Patterns in Older Adults: Modeling the Interplay of Frequency, Place, and Purpose.
Journal of Transport & Health, 41, 101962.
2
Haddad, A.J., Mondal, A., and Bhat, C.R. Eating-Out Behavior across Different Restaurant Segment Types: Implications for Transportation, Public Health, and Food Service Sectors.
Transportation Research Part A, 192, 104337.
3
Haddad, A.J. and Bhat, C.R. Telemedicine Adoption Before, During, and After COVID-19: The Role of Socioeconomic and Built Environment Variables.
Transportation Research Part A, 192, 104351.
4
Jia, G., Pendyala, R., and Chen, C. How Does Delivery Service Change Food Accessibility: A Modified 2-Step Floating Catchment Area Method.
Environment and Planning B: Urban Analytics and City Science.
5
Karami, A., Allahviranloo, M., and Samadzad, M. The Impacts of Personality Traits on the Acceptance of Shared E-Scooters: Evidence from Tehran.
Cities, 105633.
6
Li, Z., Idziorek, K., Chen, A., and Chen, C. Untapped Capacity of Place-Based Peer-to-Peer Resource Sharing for Community Resilience.
Nature Cities, 2(1), 47–57.
7
Robbennolt, J., Li, M., Mohammadi, J., and Boyles, S.D. Balancing Passenger Transport and Power Distribution: A Distributed Dispatch Policy for Shared Autonomous Electric Vehicles.
IEEE Transactions on Industry Applications.
8
Soria, J., Choi, S.E., Wang, X., and Mokhtarian, P.L. What Kinds of People Expect to Travel by Car More, or Less, for Non-Commute Purposes in the Post-Pandemic Era? A Latent Class Approach.
Travel Behaviour and Society, 40, 100986.
9
Wang, Y., Guan, X., Ugurel, E., Chen, C., Huang, S., and Wang, Q.R. Exploring Biases in Travel Behavior Patterns in Big Passively Generated Mobile Data from 11 US Cities.
Journal of Transport Geography, 123, 104108.
10
Zhou, A., Zhou, H., Laval, J., and Peeta, S. String Instability Mitigation of Adaptive Cruise Control without Modifying Control Laws: Trajectory Shaper and Parameter Estimation.
Transportmetrica B: Transport Dynamics, 13(1), 2473885.
11
Bhat, C.R., Mondal, A., and Pinjari, A.R. A Flexible Non-Normal Random Coefficient Multinomial Probit Model: Application to Investigating Commuter’s Mode Choice Behavior in a Developing Economy Context.
Transportation Research Part B, 195, 103186.
12
Chen, Z., Xu, Y., and Peeta, S. Deep Learning-Based Travel Choice Prediction with Provable and Adaptable Fairness Guarantees.
Transportation Research Part B, Vol. 200, ID 103318.
13
Conway, A. Aligning Urban Transportation Policies with the Modern Movement of Consumer Goods.
Journal of Critical Infrastructure Policy, 2.
14
Crocker, A.J. and Boyles, S.D. Heuristic Selection in Disaster Recovery Sequencing.
Journal of Infrastructure Systems, 31(3), 04025010.
15
Feng, G., Li, Y., Tok, A.Y., and Ritchie, S.G. Freight Rail Activity Inventory System Using a Vision-Based Deep Learning Framework.
Computer-Aided Civil and Infrastructure Engineering.
16
Giubergia, D., Haddad, A.J., Piras, F., Bhat, C.R., and Meloni, I. Modeling Spatial and Social Interdependency Effects on Commuting Mode Choice.
Transportation Research Part A, 196, 104474.
17
Guan, X., Huang, S., and Chen, C. Using Multiple Biased Datasets to Recover Missing Trips with a Behaviorally-Informed Model.
Transportation Science.
18
Hwang, H., Haddad, A.J., and Bhat, C.R. Multivariate Analysis of Frequency, Duration and Companionship in Walking Behaviors Among Adults Over 50.
Journal of Transport & Health, 44, 102161.
19
Jia, G., Ng, K., Ugurel, E., Lee, B., Pendyala, R., and Chen, C. COVID & Telecommuting-Induced Changes in Individual Activity and Travel Patterns: Evidence from the Puget Sound Region.
Transport Policy, Vol. 173.
20
Khaloei, M., Oshanreh, M.M., Tu, Y., Gurumurthy, K., and MacKenzie, D. Automating Ridehailing Services Would Reduce Pooling, Especially Among Women.
Transportation Research Part A 204, 104766.
21
Kim, I., Lee, Y., Mokhtarian, P.L., and Circella, G. How Will People Spend Travel Time in Autonomous Vehicles? A Four-Region Study Focusing on Heterogeneous Preferences.
Transportation.
22
Kothawala, A., Haddad, A.J., Loa, P., Lee, Y., Circella, G., and Bhat, C.R. Hybrid Workers’ Activity Intensity: Post-Pandemic Comparison of Telework-Only and In-Person Workdays.
Transportation Research Record.
23
Lieu, S.J., Koo, B.W., Hwang, U., and Guhathakurta, S. Automated Detection and Classification of Bike Lanes Using Multimodal Imagery.
Remote Sensing Applications: Society and Environment, 101817.
24
Liu, Y. and Peeta, S. Human-Like Lane-Change Control Strategy for Connected and Autonomous Vehicles to Improve Interactions with Human-Driven Vehicles.
Transportation Research Part C, Vol. 177, ID 105211.
25
Ng, K., Chen, C., and Jenelius, E. The 15-Minute City Around One’s Trajectory: Evaluating Food Accessibility for Transit Users in Stockholm, Sweden.
Journal of Transport Geography, Vol. 127, 104283.
26
Ng, K., Mishra, G.S., and Chen, C. Understanding Access to Restaurants Through Personas: A Latent Class Approach Integrating Preferences and Travel Behavior.
Journal of Transport & Health, Vol. 44, 102135.
27
Robbennolt, D., Beliveau, A., and Bhat, C.R. An Investigation of Physical Participation Dissonance and Virtual Activity Participation in the United States.
Transportation Research Part A, 201, 104696.
28
Robbennolt, D., Hardman, S., Firestone, J., and Bhat, C.R. A Model of Electric Vehicle Adoption and Motivating Reasons for Adoption.
Transportation Research Part D, 146, 104906.
29
Robbennolt, J., Robbennolt, D., and Boyles, S.D. Relaxed Singly Constrained Static Traffic Assignment Model with Elastic Demand: Application to Telework and Urban Development Scenarios in Austin, Texas.
Transportation Research Record.
30
Robbennolt, J., Xu, L., Bathgate, K., Pan, S., and Boyles, S.D. Identifying Critical Locations for Traffic Monitoring Devices During Hurricane Evacuations.
Journal of Infrastructure Systems, 31(2), 04025006.
31
Smith, B.V., Robbennolt, D., and Bhat, C.R. An Evaluation of the Long-Term Effects of the COVID-19 Pandemic on Public Transit Use in the United States.
Transport Policy, 169, 90–100.
32
Tejada, C. and Conway, A. An Empirical Approach to Modeling Online Shopping and Its Effects on Urban Freight Planning: The Case of New York City.
Case Studies on Transport Policy, 101473.
33
van Wee, B. and Mokhtarian, P. A Meta-Theory for Travel-Related Choices.
Transportation Research Interdisciplinary Perspectives 34, 101653.
34
Zafri, N.M. and Zhang, M. A Novel Integrated Machine Learning and Inferential Modeling Approach to Explore Nonlinear Effects of Built Environment on Travel.
Travel Behavior and Society.
35
Zhang, M. Next-Gen TOD: Transforming Transit Oriented Development to Embrace New Challenges and Opportunities.
Urban Rail Transit.
36
Zhu, T., Boyles, S.D., and Unnikrishnan, A. Plug-In Hybrid Electric Vehicle Traveling-Salesman Problem with Drone.
Transportation Research Record, 2679(3), 438–456.
37
Ramakrishnan, G.A., Srinivasan, K.K., Saxena, S., Pinjari, A.R., Bhat, C.R., and Pendyala, R. Exploring the Relationship Between Mode Selection and Usage Frequency in Multi-Day Mode Choice Patterns for Commute Trips.
Current Science.

2024

1
Anderson, S.M., Asmussen, K.E., Saxena, S., Batur, I., Pendyala, R.M., and Bhat, C.R. An Investigation of Dissonance in Telework Frequency.
Transportation Research Part C, 166, 104712.
2
Asmussen, K.E., Mondal, A., and Bhat, C.R. The Interplay between Teleworking Choice and Commute Distance.
Transportation Research Part C, 165, 104690.
3
Ashour, L.A., Shen, Q., Moudon, A., Cai, M., Wang, Y., and Brown, M. Post-Pandemic Transit Commute: Lessons from Focus Group Discussions on the Experience of Essential Workers during COVID-19.
Journal of Transport Geography, 116.
4
Batur, I., Alhassan, V.O., Chester, M.V., Polzin, S.E., Chen, C., Bhat, C.R., and Pendyala, R.M. Understanding How Extreme Heat Impacts Human Activity-Mobility and Time Use Patterns.
Transportation Research Part D, 136, 104431.
5
Bhat, C.R. Transformation-Based Flexible Error Structures for Choice Modeling.
Journal of Choice Modelling, 53.
6
Biswas, M., Bhat, C.R., Ghosh, S., and Pinjari, A.R. Choice Models with Stochastic Variables and Random Coefficients.
Journal of Choice Modelling, 51, 100488.
7
Biswas, M., Bhat, C.R., and Pinjari, A.R. The Use of Pooled RP-SP Choice Data to Simultaneously Identify Alternative Attributes and Random Coefficients on Those Attributes.
Transportation Research Part B, 186, 102988.
8
Cano-Calhoun, C., Abramson, D., and Chen, C. On Your Own, Together: Regional Perspectives on Community Resource-Sharing for Disaster Preparedness in Washington State.
Journal of Urban Affairs, 1–25.
9
Cheng, Q., Liu, Z., Lu, J., List, G., Liu, P., and Zhou, X.S. Using Frequency Domain Analysis to Elucidate Travel Time Reliability Along Congested Freeway Corridors.
Transportation Research Part B, 184, 102961.
10
Cheng, W., Rogovoy, K., Sharifiilierdy, S., Mora, O., Lu, R., and Cheng, Y. Enhancing Daily Crash Count Prediction Using Deep Learning with Window Size Selection and Seasonality Predictor Integration.
Transportation Research Record.
11
Da, L., Liou, K., Chen, T., Zhou, X., Luo, X., Yang, Y., and Wei, H. Open-TI: Open Traffic Intelligence with Augmented Language Model.
International Journal of Machine Learning and Cybernetics, 1–26.
12
Doll, A., Abbasi, M., Zhao, M., and Zhou, X.S. Oversaturated Intersections: A Real-World Assessment of Polynomial Fluid Queue Models.
Physica A: Statistical Mechanics and its Applications, 651, 129864.
13
Esmaili, A., Oshanreh, M.M., Naderian, S., MacKenzie, D., and Chen, C. Assessing the Spatial Distributions of Public Electric Vehicle Charging Stations with Emphasis on Equity Considerations in King County, Washington.
Sustainable Cities and Society, 107, 105409.
14
Feng, F., Anastasopoulos, P.C., Guo, Y., Wang, W., Peeta, S., and Li, X. Willingness to Use Ridesplitting Services for Home-to-Work Morning Commute in the Post-COVID-19 Era.
Transportation, 1–34.
15
Fong, A.Z. and Shaw, F.A. Well-Being Implications of Mobility of Care: Gender Differences Among US Adults.
Transportation Research Part D, 129, 104109.
16
Garrow, L., Mokhtarian, P., German, B., Glodek, J., and Leonard, C. Market Segmentation of an Electric Vertical Take-Off and Landing (eVTOL) Air Taxi Commuting Service in Five Large U.S. Cities.
Transportation Research Part A (in press).
17
Han, C., Seshadri, P., Ding, Y., Posner, N., Koo, B.W., Agrawal, A., Lerch, A., and Guhathakurta, S. Understanding Pedestrian Movement Using Urban Sensing Technologies: The Promise of Audio-Based Sensors.
Urban Informatics 3, 22.
18
Hennessy, E.M., Wolfinbarger, J.R., Batur, I., Srivastava, N.A., Porto, M., Cotlier, G.I., Horgan, M., Searles, I., Sparks, R.M., and Chester, M.V. Changing Boundaries, Distributed Control, and Implications for Transportation Sustainability.
npj Sustainable Mobility and Transport, 1(1), 1–6.
19
Kim, T., Lu, J., Pendyala, R.M., and Zhou, X.S. Computational Graph-Based Mathematical Programming Reformulation for Integrated Demand and Supply Models.
Transportation Research Part C, 164, 104671.
20
Li, X., Zhang, X., Qian, X., Zhao, C., Guo, Y., and Peeta, S. Beyond Centralization: Non-Cooperative Perimeter Control with Extended Mean-Field Reinforcement Learning in Urban Road Networks.
Transportation Research Part B.
21
Lim, V.K.G., Mokhtarian, P.L., and Teo, T.S.H. A Conservation of Resources Theory-Based Framework for Studying the Commute Experience.
Transportation (in press).
22
Kim, S.H. and Mokhtarian, P.L. Latent Class Models with an Error Structure: Investigating Potential Unobserved Associations Between Latent Segmentation and Behavior Generation.
Journal of Choice Modelling (in press).
23
Lin, F., Qian, X., Mortazavi, B., Wang, Z., Huang, S., and Chen, C. Modeling User Choice Behavior Under Data Corruption: Robust Learning of the Latent Decision Threshold Model.
IISE Transactions, 56(12), 1307–1320.
24
Luo, X., Kuby, M.J., Honma, Y., Kchaou-Boujelben, M., and Zhou, X.S. Innovation Diffusion in EV Charging Location Decisions: Integrating Demand & Supply Through Market Dynamics.
Transportation Research Part C, 165, 104733.
25
Mohammadi, M., Davatgari, A., Asgharpour, S., Shabanpour, R., Mohammadian, A., Derrible, S., Pendyala, R.M., and Salon, D. The Interaction Between the Recent Evolution of Working from Home and Online Shopping.
Transportation, 1–36.
26
Mokhtarian, P.L. Pursuing the Impossible (?) Dream: Incorporating Attitudes into Practice-Ready Travel Demand Forecasting Models.
Transportation Research Part A, 190, 104254.
27
Panik, R.T., Nazemi, H., Saleh, J.H., Fitzpatrick, B., and Mokhtarian, P.L. Precursory Elements of Safety Culture: Exploratory Analyses of Engineering Students’ Safety Attitudes.
Journal of Safety Research, 88, 179–189.
28
Robbennolt, D., Haddad, A.J., Mondal, A., and Bhat, C.R. Housing Choice in an Evolving Remote Work Landscape.
Transportation Research Part A, 190, 104285.
29
Saxena, S., Pinjari, A.R., Bhat, C.R., and Mondal, A. A Flexible Multiple Discrete-Continuous Probit (MDCP) Model: Application to Analysis of Expenditure Patterns of Domestic Tourists in India.
Transportation, 51(4), 1299–1326.
30
Stritch, J.M., Jensen, U.T., Swindell, D., Allgood, M., and Fullerton, A.H. Veteran Status and Job Candidate Assessments in US Local Governments.
Review of Public Personnel Administration, 44(3), 493–515.
31
Tejada, C. and Conway, A. Measuring the Social Effects of Urban Logistics Facilities Development: The Case of New York City.
Transportation Planning and Technology, 1–28.
32
Uğurel, E., Guan, X., Wang, Y., Huang, S., Wang, Q., and Chen, C. Correcting Missingness in Passively-Generated Mobile Data with Multi-Task Gaussian Processes.
Transportation Research Part C, 161, 104523.
33
Uğurel, E., Huang, S., and Chen, C. Learning to Generate Synthetic Human Mobility Data: A Physics-Regularized Gaussian Process Approach Based on Multiple Kernel Learning.
Transportation Research Part B, 189, 103064.
34
Ugurel, E., Wu, X., Wang, R., Lee, B.H., and Chen, C. Metropolitan Planning Organizations’ Uses of and Needs for Big Data.
Findings.
35
Wang, C. and Peeta, S. Incentive Mechanism for Privacy-Preserving Collaborative Routing Using Secure Multi-Party Computation and Blockchain.
Sensors, 24(2), 542.
36
Wang, J., Zhou, A., Liu, Z., and Peeta, S. Robust Cooperative Control Strategy for a Platoon of Connected and Autonomous Vehicles Against Sensor Errors and Control Errors Simultaneously.
Transportation Research Part B, 184, 102946.
37
Wang, X. and Mokhtarian, P.L. Examining the Treatment Effect of Teleworking on Vehicle-Miles Driven.
Transportation Research Part A, 186, 104072.
38
Wang, X., Kim, S.H., and Mokhtarian, P.L. Identifying Teleworking-Related Motives and Comparing Telework Frequency Expectations in the Post-Pandemic World.
Transportation Research Part A, 186, 104070.
39
Zhou, A., Peeta, S., Zhou, H., Laval, J., Wang, Z., and Cook, A. Implications of Stop-and-Go Traffic on Training Learning-Based Car-Following Control.
Transportation Research Part C, 168, 104578.
40
Zhu, Y., Li, Y., Zhao, H., Huang, X., Ou, Y., and Peeta, S. The Effects of Communication Topology on Mixed Traffic Flow: Modelling and Analysis.
Transportmetrica B: Transport Dynamics, 12(1), 2422373.

2023

1
Asmussen, K.E., Mondal, A., Batur, I., Dirks, A., Pendyala, R.M., and Bhat, C.R. An Investigation of Individual-Level Telework Arrangements in the COVID-Era.
Transportation Research Part A: Policy and Practice, 179, 103888.
3
Haddad, A., Mondal, A., Eluru, N., and Bhat, C.R. A Novel Integrated Approach to Modeling and Predicting Crash Frequency by Crash Event State.
Analytic Methods in Accident Research, 41, 100319.
4
Kothawala, A., Haddad, A., Ozbilen, B., Circella, G., Saridakis, C., Wadud, Z., Yang, Y., Grant-Muller, S., Castellanos, S., and Bhat, C.R. Investigating Objective and Subjective Factors Influencing the Frequency and Purpose of E-Scooter Trips.
Transportation Research Record, in press.
9
Ugurel, E., Huang, S., and Chen, C. Gaussian Process Learning for Location-Based Service Data.
APSIPA Annual Summit and Conference, Taipei, Taiwan, 2023.
10
Guan, X., Jia, G., Kosaraju, K.C., Gupta, V., and Chen, C. Underreporting in COVID-19 Case Data Causes Policy Objectives Being Unmet.
IEEE Transactions on Computational Social Systems, November 2023.
12
Idziorek, K., Abramson, D., Kitagawa, N., Yamamoto, T., and Chen, C. Factors Influencing Willingness to Share Resources Post-Disaster: A Cross-Cultural Comparison Between US and Japanese Communities.
Natural Hazards Review, 24(4), 04023044.
13
Lin, J., Jenelius, E., Cebecauer, M., Rubensson, I., and Chen, C. The Equity of Public Transport Crowding Exposure.
Journal of Transport Geography, 110, 103631.
14
Shea, K., Chen, C., and 76 other authors. Multiple Models for Outbreak Decision Support in the Face of Uncertainty.
Proceedings of the National Academy of Sciences, 120(18), e2207537120.