Publications

  • Golshani N, R. Shabanpour, S.M. Mahmoudifard, S. Derrible, A. Mohammadian, Modeling Travel Mode and Timing Decisions: Comparison of Artificial Neural Networks and Copula-based Joint Model. Travel Behaviour and Society, 2017, doi: 10.1016/j.tbs.2017.09.003.
  • Pourabdollahi, Z., B. Karimi, A. Mohammadian, and K. Kawamura, A Hybrid Agent-based Computational Economics and Optimization Approach for Supplier Selection Problem, forthcoming in International Journal of Transportation Science and Technology, 2017, doi: doi.org/10.1016/j.ijtst.2017.09.004
  • Nazari, F., M. Noruzoliaee, B. Zou, and A. Mohammadian, Optimal facility-specific inspection and maintenance decisions under measurement uncertainty: A unifying framework, forthcoming in Journal of Infrastructure Systems, 2017, doi: doi.org/10.1061/(ASCE)IS.1943-555X.0000402
  • Shabanpour, R., Golshani, N., Langerudi, M. F., Mohammadian, A. K., Planning in-home activities in the ADAPTS activity-based model: A joint model of activity type and duration.International Journal of Urban Sciences, 2017, DOI:10.1080/12265934.2017.1313707.
  • Shabanpour, R., Javanmardi, M., Fasihozaman, M., Miralinaghi, M., Mohammadian, A., Investigating the applicability of ADAPTS activity-based model in air quality analysis. Travel Behaviour and Society, 2017, DOI:10.1016/j.tbs.2017.02.004.
  • Shabanpour R., N. Golshani, S. Derrible, A. Mohammadian, M. Miralinaghi, Joint Discrete-Continuous Model of Travel Mode and Departure Time Choices. forthcoming in Transportation Research Record: Journal of the Transportation Research Board,2017, DOI:10.3141/2669-05.
  • Shen, H., Zou, B., Lin, J.+, and Liu, P. (2020) Modeling Travel Mode Choice of Young People with Differentiated E-Hailing Ride Service in Nanjing China, Transport Research Part D: Transportation and Environment, Vol.78, 102216.
  • Ballare, S. and Lin, J.+ (2020) Investigating the use of microhubs and crowdshipping for last mile delivery, Transportation Research Procedia Vol. 46, 277-284.
  • Shen, H. and Lin, J.+ (2020) Comprehensive Investigation of Crowdshipping Delivery Production with Real-world Data, Transportation Research Part E: Logistics and Transportation Review, Vol. 143, 102106.
  • Lin, J.+ and Wolfson, O.+ (2020) MY-AIR: A Personalized Air-pollution Information Service, Proceedings of the 2020 IEEE International Conference on Smart Data Services (SMDS), 105-112.
  • Lin, J.+ and Zhou, W. (2021) Important Factors for Daily Routing Cost of Battery Electric Delivery Trucks. International Journal of Sustainable Transportation, 15:7, 541-558.
  • Zhang, L., Lin, J.+ and Qiu, R. (2021) Characterizing the toxic gaseous emissions of gasoline and diesel vehicles based on a real-world on-road investigation, Journal of Cleaner Production Volume 286, 124957.
  • Foti, L., Lin, J. and Wolfson, O.+ (2021) Optimum versus Nash-equilibrium in taxi ridesharing. GeoInformatica 25: 423-451.
  • Patankar, N+, Lin, J.+, and Patankar, T. (2021) Mileage efficiency of cars. Journal of Cleaner Engineering and Technology, Volume 4, 100240.
  • Lin, J.+, Nie, Y., Kawamura, K. (2022) An Autonomous Modular Mobility Paradigm – Vision Paper. IEEE Intelligent Transportation Systems Magazine, doi: 10.1109/MITS.2022.3159484.
  • Shen, H., Namdarpour, F., and Lin, J.+ (2022) Preliminary Investigation of Online Grocery Shopping and Delivery Preference Before, During, and After COVID-19, Transportation Research Interdisciplinary Perspectives, Vol.14, 100580.
  • Cheng, X. and Lin, J.+ (2024) Is Electric Truck a Viable Alternative to Diesel Truck in Long-haul Operation? Transportation Research Part D: Transportation and the Environment, Vol.129, April 2024, 104119.
  • Shen, H. and Lin, J.+ (2024) Equitable and stable matching for a two-sided crowdshipping market, Transportation Research Procedia, 79, 234-241.
  • Cheng, X., Nie, Y. and Lin, J.+ (2024) An Autonomous Modular Public Transit Service, Transportation Research Part C: Emerging technologies, Special issue on ISTTT25, 104746.
  • Shen, H. and Lin, J.+ (2024) A Courier’s Choice for Delivery Gigs in a Two-sided Crowdshipping System with observed sender-courier preference discrepancy, Transportation, pp. 1-42, August 2024.
  • Zheng, H., Li, J., Lin, J. and Nie, Y.+ (2025) Exploiting modularity for co-modal passenger-freight transportation, Transportation Research Part B: methodologies, 196, 103217.
  • Cheng, X. , Shafiee, A., Rastegar, H. and Lin, J.+ (2025) An On-Demand Autonomous Modular Ridesharing Service, International Journal of Transportation and Logistics Research, Vol. 1(1): 2.
  • Rastegar Moghaddam, H. *, Shafiee, A. *, and Lin, J.+ (2025) Toward Resilient Logistics Electrification: Assessing Diesel-to-Electric Fleet Transition and System Vulnerability Under Variable Temperatures, Transportation Research Part D: Transportation and the Environment, Vol. 148, 104971.
  • Yousefibasser, M.*, Cheng, Y-L* and  Lin, J.+ (2025) Investigation of Transportation Barriers to Healthcare Services in Rural Illinois, Journal of Transportation Research Board: Transportation Research Records, OnlineFirst, October 9, 2025.
  • Shafiee, A., Rastegar Moghaddam, H. and Lin, J.+ (accepted) Urban Parcel Delivery with Mobile Automated Parcel Stations: A Hybrid Clustering, Optimization, and Simulation Approach, Transportation Research Procedia.
  • Cheng, X., Shen, H., Huang, Y., Cheng, Y., and Lin, J.+ (2024) Mitigating Battery Disruption of Electric Vehicles on Highways, Proceedings of the 2024 IEEE Forum on Integrated and Sustainable Transportation Systems (FISTS), pp. 1-6. https://doi.org/10.1109/FISTS60717.2024.10485588.
  • Cheng, X. and Lin, J.+ (2024) Network Equilibrium Modeling for Long-Haul Electric Trucks, Proceedings of the 2024 IEEE Forum on Integrated and Sustainable Transportation Systems (FISTS), https://doi.org/10.1109/FISTS60717.2024.10485605.
  • Shafiee, A., Rastegar Moghaddam, H. and Lin, J.+ (2024) Using Autonomous Modular Vehicle Technology as an Alternative for Last-Mile Delivery, Proceedings of the 2024 IEEE Forum on Integrated and Sustainable Transportation Systems (FISTS), https://doi.org/10.1109/FISTS60717.2024.10485532.
  • Shafiee, A., Rastegar Moghadam, H., Merikhipour, M., Lin, J.+ (2024) Analyzing Post-Pandemic Remote Work Accessibility through Machine Learning Analysis, Proceedings of the ASCE International Conference on Transportation & Development 2024, pp.453-462.
  • Shafiee, A., Asgharpour, S., Askari, S., A. Mohammadian, and Lin, J.+ (2024) Understanding Characteristics of Crowdshipping Trip Production: Evidence from Atlanta, Proceedings of the ASCE International Conference on Transportation & Development 2024, pp.62-71.
  • Shen, H. and Lin, J.+ (2025) Optimal Matching Based Double Auction in a Two-sided Crowdshipping Market, Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 3040-3045.
  • Yang, J., Hosseinpanahi, D., Zou, B., Lin, J., 2026. Powering long haul freight: Hydrogen refueling station siting using pipeline infrastructure. Transportation Research Part D: Transport and Environment, 154, 105226.
  • Zhou, R., Moser, F., Feng, Y., Jin, M., Zou, B., 2026. Hydrogen logistics network design for hydrogen fuel cell electric long-haul trucks. International Journal of Hydrogen Energy 215, 153889.
  • Wang, D., Wang, R., Xie, C., Zou, B., Fu, X., Chen, X., Lu, Q., 2025. Evaluation and reallocating rail freight subsidies: lessons learned from China Railway Express. Transport Policy, 174, 103819.
  • Choobchian, P., Zou, B., Spearing, L., 2024. Truck platooning technology diffusion: system dynamics with matching platform consideration. Transportation Research Interdisciplinary Perspectives 28, 101277.
  • Barua, L., Zou, B., Choobchian, P., 2023 Maximizing truck platooning participation with preferences. Transportation Research Part E: Logistics and Transportation Review 179, 103297
  • Zou, B., Kafle, N., 2023. Designing mechanisms for crowdsourced urban parcel delivery. Transportation Letters: The International Journal of Transportation Research 15 (8), 992-1010.
  • Barua, L., Zou, B., Zhou, Y., Liu, Y., 2023. Modeling household online shopping demand in the U.S.: A machine learning approach and comparative investigation between 2009 and 2017. Transportation 50 (2), 437-476.
  • Farazi, N., Zou, B., 2022. Tulabandhula, T. Dynamic crowdshipping for on-demand urban parcel delivery: A double dueling deep Q-network approach. Transportation Research Part E: Logistics and Transportation Review 166, 102890.
  • Farazi, N., Zou, B., Sriraj, P.S., Dirks, L., Lewis, E., Manzanarez, J.P., 2022. State-level performance measures and database development for inland waterway freight transportation: A US context and a case study. Research in Transportation Business & Management 45, 100866.
  • Ahamed, T., Zou, B., Farazi, N., Tulabandhula, T., 2021. Deep reinforcement learning for crowdsourced urban delivery. Transportation Research Part B: Methodological 152, 227-257.
  • Noruzoliaee, M., Zou, B., Zhou, Y., 2021. Truck platooning in the U.S. national road network: A system-level modeling approach. Transportation Research Part E: Logistics and Transportation Review 145, 102200.
  • Sun, X., Wu, H., Abdolmaleki, M., Yin, Y., Zou, B., 2021. Investigating the potential of truck platooning on energy savings: An empirical study on the U.S. national highway freight network. Transportation Research Record 2675 (12), 784-796.
  • Farazi, N., Zou, B., Sriraj, P.S., 2021. Survey of practices on performance measurement of U.S. inland waterway freight transportation. Transportation Research Record 2675 (5), 136-148.
  • Barua, L., Zou, B., Zhou, Y., 2020. Machine learning for international freight transportation management: A comprehensive review. Research in Transportation Business & Management 34, 100453.
  • Park, K., Chang, Y.T., Zou, B., 2018. Emission control under private port operator duopoly. Transportation Research Part E: Logistics and Transportation Review 114, 40-65.
  • Kafle, N., Zou, B., Lin, J., 2017. Design and modeling of a crowdsource-enabled system for urban parcel relay and delivery. Transportation Research Part B: Methodological 99, 62-82.
  • Pagano, A., Zou, B., Sanchez, O., Noruzoliaee, M. 2016. The demand and supply of trans-oceanic sea routes: the case of east Asia-US east coast container trade. International Journal of Decision Science, Risk and Management 6 (3), 205-224.
  • Chauhan, R.S., Acosta Sequeda, J., & Derrible, S. 2026 “Causal modeling of energy and resource demand”, npj Urban Sustainability, 6:67
  • Sutradhar, U., Spearing, L., & Derrible, S., 2024 “Depopulation and associated challenges for US cities by 2100”, Nature Cities, 1(1):51-61
  • Movahedi, A., Bahador Parsa, A., Rozhkov, A., Lee, D., Mohammadian, A., & Derrible, S., 2023 “Interrelationships between urban travel demand and electricity consumption: a deep learning approach”, Scientific Reports, 13(1): 6223
  • Salon, D., Conway, M.W., Capasso da Silva, D., Chauhan, R.S., Derrible, S., Mohammadian, A., Khoeini, S., Parker, N., Mirtich, L., Shamshiripour, A., Rahimi, E., & Pendyala, R., 2021 “The potential stickiness of pandemic-induced behavior changes in the United States”, Proceedings of the National Academy of Sciences (PNAS), 118(27): e2106499118
  • Derrible, S., 2017 “Urban Infrastructure is not a Tree: Integrating and Decentralizing Urban Infrastructure Systems”, Environment and Planning B: Urban Analytics and City Science, 44 (3):553-569
  • Derrible, S. & Kennedy, C., 2010 “The Complexity and Robustness of Metro Networks“, Physica A: Statistical Mechanics and its Applications, 389(17):3678-3691

Dr. Peiravian's Publications

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