Shon, H., Kim, S. and Lee, J., 2024. Optimal planning of urban air mobility systems accounting for ground access trips. International Journal of Sustainable Transportation, pp.1-23.

Yeo, J., Lee, S., Jang, K. and Lee, J., 2023. Real-Time Operations of Autonomous Mobility-on-Demand Services with Inter- and Intra-Zonal Relocation. IEEE Transactions on Intelligent Vehicles, 8(10), pp.4357-4369.

Choi, S. and Lee, J., 2023. Optimal planning of parking infrastructure and fleet size for Shared Autonomous Vehicle. Transportation Research Part E: Logistics and Transportation Review, 176, p.103213. 

Park, J., Lee., J., Kim, J., and Chung, J., 2023. An Optimization Model of On-Demand Mobility Services with Spatial Heterogeneity in Travel Demand. Transportation Research Part C: Emerging Technologies, 153, p.104229. 

Lee., J., Oh, S., and Son, S., 2023. Optimal battery electric bus planning and its economic and environmental impacts. Transportation Research Part D: Transport and Environment, 122, p.103821.

Kim, J., Tak, S., Lee, J., and Yeo, H., 2023. Integrated Design Framework for On-Demand Transit System based on Spatiotemporal Mobility Patterns. Transportation Research Part C: Emerging Technologies, 150, p. 104087. 

Lee, S., Lee, J., Hiemstra-van Mastrigt, S., and Kim, E., 2022. What cities have is how people travel: Conceptualizing a data-mining-driven modal split framework. Cities, 131, p. 103902.

Lee, J., Shon, H., Papakonstantinou, I. and Son, S., 2021. Optimal fleet, battery, and charging infrastructure planning for reliable electric bus operations. Transportation Research Part D: Transport and Environment, 100, p.103066.

Ko, E., Kim, H. and Lee, J., 2021. Survey Data Analysis on Intention to Use Shared Mobility Services. Journal of Advanced Transportation, 2021.

Lee, J. and Madanat, S., 2017. Optimal design of electric vehicle public charging system in an urban network for Greenhouse Gas Emission and cost minimization. Transportation Research Part C: Emerging Technologies, 85, pp.494-508.

Griswold, J.B., Sztainer, T., Lee, J., Madanat, S. and Horvath, A., 2017. Optimizing urban bus transit network design can lead to greenhouse gas emissions reduction. Frontiers in Built Environment, 3, p.5.

Pavement Management Systems (PMS)

Zhang, L., Gu, W., Byon, Y., and Lee, J., 2023. Condition-Based Pavement Management Systems Accounting for Model Uncertainty and Facility Heterogeneity with Belief Updates. Transportation Research Part C: Emerging Technologies, accepted.

Shon, H., Cho, C., Byon, Y. and Lee, J., 2022. Autonomous Condition Monitoring-based Pavement Management System. Automation in Construction, 138, p.104222. 

Shon, H. and Lee, J., 2021. Integrating multi-scale inspection, maintenance, rehabilitation, and reconstruction decisions into system-level pavement management systems. Transportation Research Part C: Emerging Technologies, 131, p.103328. 

Mizutani, D., Nakazato, Y., and Lee, J., 2020. Network-level synchronized pavement repair and work zone policies: Optimal solution and rule-based approximation. Transportation Research Part C: Emerging Technologies, 120, p.102797.

Lee, J. and Madanat, S., 2015. A joint bottom-up solution methodology for system-level pavement rehabilitation and reconstruction. Transportation Research Part B: Methodological, 78, pp.106-122.

Lee, J. and Madanat, S., 2015. Jointly optimal policies for pavement maintenance, resurfacing and reconstruction. EURO Journal on Transportation and Logistics, 4(1), pp.75-95.

Lee, J. and Madanat, S., 2014. Joint optimization of pavement design, resurfacing and maintenance strategies with history-dependent deterioration models. Transportation research part B: methodological, 68, pp.141-153.

Environment-Friendly Highway Management

Lee, J. and Madanat, S., 2017. Optimal policies for greenhouse gas emission minimization under multiple agency budget constraints in pavement management. Transportation Research Part D: Transport and Environment, 55, pp.39-50.

Lee, J., Madanat, S. and Reger, D., 2016. Pavement systems reconstruction and resurfacing policies for minimization of life‐cycle costs under greenhouse gas emissions constraints. Transportation Research Part B: Methodological, 93, pp.618-630.

Disaster Management

Yun, J., Lee, J., Park, J., Chung, K. and Lee, J., 2022. How to measure the network vulnerability of cities to wildfires: Cases in California. Transportation Research Record, 2676(12), pp.382~395.

Papakonstantinou, I., Lee, J. and Madanat, S.M., 2019. Game theoretic approaches for highway infrastructure protection against sea level rise: Co-opetition among multiple players. Transportation Research Part B: Methodological, 123, pp.21-37.

Madanat, S.M., Papakonstantinou, I. and Lee, J., 2019. The benefits of cooperative policies for transportation network protection from sea level rise: A case study of the San Francisco Bay Area. Transport Policy, 76, pp.A1-A9.

Papakonstantinou, I., Lee, J. and Madanat, S.M., 2019. Optimal levee installation planning for highway infrastructure protection against sea level rise. Transportation Research Part D: Transport and Environment.

Yun, J., Selmoune, A., Chae, J., Seo, M., and Lee, J., 2023. A Before-And-After Study of a Collision Risk Detecting and Warning System on Local Roads, Journal of Advanced Transportation.

Selmoune, A., Yun, J., Seo, M., Kwon, H., Lee, C., and Lee, J., 2023. Development of a Residential Road Collision Warning Service Based on Risk Assessment, Journal of Advanced Transportation.

Zeng, Q., Wen, H., Huang, H., Wang, J. and Lee, J., 2020. Analysis of crash frequency using a Bayesian underreporting count model with spatial correlation. Physica A: Statistical Mechanics and its Applications, 545, p.123754.

Lee, J., Chung, K., Papakonstantinou, I., Kang, S. and Kim, D.K., 2020. An optimal network screening method of hotspot identification for highway crashes with dynamic site length. Accident Analysis & Prevention, 135, p.105358. 

Zeng, Q., Gu, W., Zhang, X., Wen, H., Lee, J. and Hao, W., 2019. Analyzing freeway crash severity using a Bayesian spatial generalized ordered logit model with conditional autoregressive priors. Accident Analysis & Prevention, 127, pp.87-95.

Lee, J., Chung, K. and Kang, S., 2016. Evaluating and addressing the effects of regression to the mean phenomenon in estimating collision frequencies on urban high collision concentration locations. Accident Analysis & Prevention, 97, pp.49-56.

Chung, K., Grembek, O., Lee, J. and Choi, K., 2013. Developing safety management tools for state departments of transportation. Transportation research record, 2364(1), pp.36-43.

Lee, J., Park, M. and Yeo, H., 2016. A probability model for discretionary lane changes in highways. KSCE Journal of Civil Engineering, 20(7), pp.2938-2946.

Park, M., Jang, K., Lee, J. and Yeo, H., 2015. Logistic regression model for discretionary lane changing under congested traffic. Transportmetrica A: transport science, 11(4), pp.333-344.