Articles in SCI Journals

• 1. Oh, T., Xu, Y., Li, Z., & Kim, I. (2022). Driving Risk Analysis Based on Driving Experience at Hook-Turn Intersection Using the Emerging Virtual Reality Technology. Journal of Advanced Transportation, 2022, 8929826. doi:10.1155/2022/89298262. Jiang, W., Zheng, N., & Kim, I. (2022)
• 2. Missing data imputation for transfer passenger flow identified from in-station WiFi systems. Transportmetrica B: Transport Dynamics, 1-18. doi:10.1080/21680566.2022.2064935. IF:3.0303. Xu, L., Oh, T., Kim, I., & Hu, X. (2022)
• 3. Are shared streets acceptable to pedestrians and drivers? Evidence from Virtual Reality experiments Plos One, In Press. IF:3.2404. Jeong, H., Kim, I., Han, K., & Kim, J. (2022)
• 4. Comprehensive Analysis of Traffic Accidents in Seoul: Major Factors and Types Affecting Injury Severity. Applied Sciences, 12(4), 1790. IF: 2.6795. Wu, C., Chung, H., Liu, Z., & Kim, I. (2021)
• 5. Examining the effects of the built environment on topological properties of the bike-sharing network in Suzhou, China. International Journal of Sustainable Transportation, 15(5), 338-350., IF:3.9296. Haghani, M., Bliemer, M. C. J., Farooq, B., Kim, I., Li, Z., Oh, C., . . . MacDougall, H. (2021)
• 6. Applications of brain imaging methods in driving behaviour research. Accident Analysis and Prevention, 154. https://dor.ogr/10.1016/j.aap.2021.106093, IF:4.9937. Wu, C., Kim, I., & Chung, H. (2021)
• 7. The effects of built environment spatial variation on bike-sharing usage: A case study of Suzhou, China. Cities, 110. https://dor.ogr/10.1016/j.cities.2020.103063, IF:5.8358. Wang, B., Shaaban, K., & Kim, I. (2021)
• 8. Revealing the hidden features in traffic prediction via entity embedding. Personal and Ubiquitous Computing, 25(1), 21-31.https://dor.ogr/10.1007/s00779-019-01333-x, IF:3.0069. Wang, B., Vu, H. L., Kim, I., & Cai, C. (2021)
• 9. Short-term traffic flow prediction in bike-sharing networks. Journal of Intelligent Transportation Systems: Technology, Planning,Inhi Kim Page 11 of 14 and Operations. https://dor.ogr/10.1080/15472450.2021.1904921, IF:4.27710. Gu, T., Kim, I., & Currie, G. (2021)
• 10. The two-wheeled renaissance in China—an empirical review of bicycle, E-bike, and motorbike development. International Journal of Sustainable Transportation, 15(4), 239-258. https://dor.ogr/10.1080/15568318.2020.1737277, IF:3.929
• 11. Shaaban, K., Gharraie, I., Sacchi, E., & Kim, I. (2021). Severity analysis of red-light-running-related crashes using structural equation modeling. Journal of TransportationSafety and Security, 13(3), 278-297. https://dor.ogr/10.1080/19439962.2019.1629137,IF:3.000
• 12. Haghani, M., Bliemer, M. C. J., Farooq, B., Kim, I., Li, Z., Oh, C., . . . MacDougall, H. (2021). Applications of brain imaging methods in driving behaviour research. Accident Analysis & Prevention, 154, 106093. IF:4.993
• 13. Wu, C., Kim, I., & Chung, H. (2021). The effects of built environment spatial variation on bike-sharing usage: A case study of Suzhou, China. Cities, 110, 103063, IF:5.835
• 14. Shaaban, K., Shakeel, K., Rashidi, T. H., & Kim, I. (2021). Measuring users’ satisfaction of the road network using structural equation modeling. International Journal of Sustainable Transportation. https://dor.ogr/10.1080/15568318.2021.1934916 , IF:3.929
• 15. Zhu, S., Kim, I., & Choi, K. (2020). High-resolution simulation-based analysis of leading vehicle acceleration profiles at signalized intersections for emission modeling. International Journal of Sustainable Transportation, 1-11. https://dor.ogr/10.1080/15568318.2020.1792011 IF:3.929
• 16. Wu, C., & Kim, I. (2020). Analyzing the structural properties of bike-sharing networks:Evidence from the United States, Canada, and China. Transportation Research Part A:Policy and Practice, 140, 52-71. IF:5.594
• 17. Chen, X., Liu, Z., & Kim, I. (2020). A parallel computing framework for solving user equilibrium problem on computer clusters. Transportmetrica A: Transport Science, 16(3),550-573. https://dor.ogr/10.1080/23249935.2020.1720041, IF:3.496
• 18. Wu, C., Chung, H., Liu, Z., & Kim, I. (2020). Examining the effects of the built environment on topological properties of the bike-sharing network in Suzhou, China.International Journal of Sustainable Transportation. https://dor.ogr/10.1080/15568318.2020.1780652, IF:3.929
• 19. Gu, T., Kim, I., & Currie, G. (2020). The two-wheeled renaissance in China—an empirical review of bicycle, E-bike, and motorbike development. International Journal ofmSustainable Transportation. https://dor.ogr/10.1080/15568318.2020.1737277 , IF:3.929
• 20. An, K., Jing, W., & Kim, I. (2019). Battery-swapping facility planning for electric buses with local charging systems. International Journal of Sustainable Transportation, 1-13.IF:3.929
• 21. Huang, K., Liu, Z., Zhu, T., Kim, I., & An, K. (2019). Analysis of the acceptance of park-and-ride by users: A cumulative logistic regression approach. Journal of Transport and Land Use, 12(1). IF:2.255
• 22. Tahmasbi, B., Mansourianfar, M. H., Haghshenas, H., & Kim, I. (2019). Multimodal accessibility-based equity assessment of urban public facilities distribution. Sustainable Cities and Society, 49, 101633. IF: 7.587
• 23. Gu, T., Kim, I., & Currie, G. (2019a). Measuring immediate impacts of a new mass transit system on an existing bike-share system in China. Transportation Research Part A: Policy and Practice, 124, 20-39., IF:5.594
• 24. Gu, T., Kim, I., & Currie, G. (2019b). To be or not to be dockless: Empirical analysis of dockless bikeshare development in China. Transportation Research Part A: Policy andmPractice, 119, 122-147. , IF:5.594
• 25. Nguyen-Phuoc, D. Q., Tran, A. T. P., De Gruyter, C., Kim, I., & Su, D. N. (2019). Turn signal use among car drivers and motorcyclists at intersections: a case study of Da Nang,Vietnam. Accident Analysis & Prevention, 128, 25-31.IF:4.993
• 26. Shaaban, K., Gharraie, I., Sacchi, E., & Kim, I. (2019). Severity analysis of red-light-running-related crashes using structural equation modeling. Journal of Transportation Safety & Security, 1-20. https://dor.ogr/10.1080/19439962.2019.1629137. IF:3.000
• 27. Huang, K., Liu, Z., Kim, I., Zhang, Y., & Zhu, T. (2019). Analysis of the Influencing Factors of Carpooling Schemes. IEEE Intelligent Transportation Systems Magazine, 11(3), 200-208. https://dor.ogr/10.1109/MITS.2019.2919550 . IF:3.419
• 28. Chen, X., & Kim, I. (2018). Modelling Rail-Based Park and Ride with Environmental Constraints in a Multimodal Transport Network. Journal of Advanced Transportation,2018. IF:2.419
• 29. Nguyen-Phuoc, D. Q., Currie, G., De Gruyter, C., Kim, I., & Young, W. (2018). Modelling the net traffic congestion impact of bus operations in Melbourne. Transportation Research Part A: Policy and Practice, 117, 1-12. IF:5.594
• 30. Liu, Z., Chen, X., Meng, Q., & Kim, I. (2018). Remote park-and-ride network equilibrium model and its applications. Transportation Research Part B: Methodological, 117, 37-62.IF:5.596
• 31. Jia, R., Khadka, A., & Kim, I. (2018). Traffic crash analysis with point-of-interest spatial clustering. Accident Analysis & Prevention, 121, 223-230. IF:4.993
• 32. Jing, W., Ramezani, M., An, K., & Kim, I. (2018). Congestion patterns of electric vehicles with limited battery capacity. PloS one, 13(3), e0194354. IF:3.240
• 33. Jing, W., An, K., Ramezani, M., & Kim, I. (2017). Location design of electric vehicle charging facilities: A path-distance constrained stochastic user equilibrium approach. Journal of Advanced Transportation, 2017. IF:2.419
• 34. Shaaban, K., & Kim, I. (2016a). The influence of bus service satisfaction on university students' mode choice. Journal of Advanced Transportation, 50(6), 935-948. IF:2.419
• 35. Shaaban, K., & Kim, I. (2016b). Assessment of the taxi service in Doha. Transportation Research Part A: Policy and Practice, 88, 223-235. IF:5.594
• 36. Jing, W., Yan, Y., Kim, I., & Sarvi, M. (2016). Electric vehicles: A review of network modelling and future research needs. Advances in Mechanical Engineering, 8(1),1687814015627981. IF:1.316
• 37. Larue, G. S., Kim, I., Rakotonirainy, A., Haworth, N. L., & Ferreira, L. (2015). Driver’s behavioural changes with new intelligent transport system interventions at railway level crossings—A driving simulator study. Accident Analysis & Prevention, 81, 74-85. IF:4.993
• 38. Kim, I., Larue, G. S., Ferreira, L., Rakotonirainy, A., & Shaaban, K. (2015). Traffic safety at Inhi Kim Page 13 of 14 road–rail level crossings using a driving simulator and traffic simulation. Transportation research record, 2476(1), 109-118.IF:1.560
• 39. Kabit, M. R. b., Charles, P., Ferreira, L., & Kim, I. (2014). Modelling major traffic incident impacts and estimation of their associated costs. Transportation planning and technology, 37(4), 373-390. IF:1.278
• 40. Kim, I., Galiza, R., & Ferreira, L. (2013). Modeling pedestrian queuing using micro-simulation. Transportation Research Part A: Policy and Practice, 49, 232-240. IF:5.594
• 41. Kim, I., Ferreira, L., Tey, L. S., & Wallis, G. (2013). Integration of driving simulator and traffic simulation to analyse behaviour at railway crossings. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of rail and rapid transit, 227(5), 427-438. IF:2.359
• 42. Tey, L.-S., Kim, I., & Ferreira, L. (2012). Evaluating safety at railway level crossings with microsimulation modeling. Transportation research record, 2298(1), 70-77. IF:1.560

Peer-Reviewed Non-SCI journals

• 1. Xiao, D., Kim, I., Zheng, N. (2022). Recent advances in understanding the impact of built environment on traffic performance. Multimodal Transportation, 1(4), 100034.2. Jeong, J., Oh, T., Kim, I., (2021)
• 2. Volume Delay Function Calibration Based on GPS Trajectory data, 39(4), 399-408, Journal of Korean Society of Transportation3. Jiang, W., Ma, Z., Kim, I., & Lee, S. (2020)
• 3. Revealing Mobility Regularities in Urban Rail Systems. Procedia Computer Science, 170, 219-2264. Shaaban, K., Khan, M. A., Kim, I., & Hamila, R. (2020). Queue Discharge at Freeway On-Ramps Using Coordinated Operation of a Ramp Meter and an Upstream Traffic Signal.
  Procedia Computer Science. 170, 347-353.5. Wang, B., Shaaban, K., & Kim, I. (2019)
• 4. Reveal the hidden layer via entity embedding in traffic prediction. Procedia Computer Science, 151, 163-170.6. Chen, X., Liu, Z., Hua, D., & Kim, I. (2017). A new model for rail-based park-and-ride with feeder bus services. Transportation Research Procedia, 21, 79-86.7. Song, C., Kim, I., & Xiang, Q. (2017)
• 5. Evaluation of Large Signalized Intersection with New Pedestrians Twice Crossing. Procedia Computer Science, 109, 132-139.8. Jing, W., Kim, I., Ramezani, M., & Liu, Z. (2017)
• 6. Stochastic traffic assignment of mixed electric vehicle and gasoline vehicle flow with path distance constraints. Transportation
  Research Procedia, 21, 65-78.9. Shaaban, K., & Kim, I. (2015)
• 7. Comparison of SimTraffic and VISSIM microscopic traffic simulation tools in modeling roundabouts. Procedia Computer Science, 52, 43-50.10. Kim, I., Lee, S., (2014). A study on driver experience to railway crossings in driving simulator, 13(2), 57-67, The journal of The Korea Institute of Intelligent Transport Systems.

 Peer-Reviewed International Conference Papers

• 1. Kwon, D., Oh, T., Lee, C., Kim, I., Large Scale Multi-source Traffic Flow Forecasting BasedInhi Kim Page 14 of 14 on Attention Based Spatio-Temporal Graph Convolutional Networks – LSTM, ITS World Congress 2022, LA, US, 2022
• 2. Oh, T., Kim, I., Overtaking Maneuvers using Multi-Agent Systems on a Two-Lane Two-Way Road, ITS World Congress 2022, LA, US, 2022
• 3. Yoo, Y., Kwon, D., Kim, I., An impact of vehicles in the platooning on the road network, ITS World Congress 2022, LA, US, 2022
• 4. Park., H., Oh, T., Kim, I., Validation of Spatial Orientation Skill using Virtual Reality Treadmill, ITS World Congress 2022, LA, US, 2022
• 5. Kwon, D., Park, H., Kim, I., Traffic Data Calibration Collected by RSE Detectors based on Deep Learning, The 14th International Conference of Eastern Asia Society for Transportation Studies(EASTS), 2021
• 6. Yoo, Y., Kang, J., Park, S., Kim, I., Priority signal effect on S-BRT(Super Bus Rapid Transit),The 14th International Conference of Eastern Asia Society for Transportation Studies(EASTS), 2021
• 7. Nourmohammadi, Z., Yoo, Y., Kim, I., Explore the Applicability of Machine Learning Method to Find Marine Causalities: A Case Study of Territorial Sea of South Korea, The 14th International Conference of Eastern Asia Society for Transportation Studies(EASTS).2021
• 8. Xu, L., Oh, T., Hu, X., Kim, I., Explore the Applicability of Shared Streets with Virtual Reality Technology: A Case Study of Suzhou, China, TRB2021, Washington DC
• 9. Wang Bo, Kim, I., Revealing Mobility Regularities in Urban Rail Systems, The 11th International Conference on Ambient Systems, Networks and Technologies (ANT)
• 10. Bo, W., Vu, H., and Kim, I., Short-Term Traffic Prediction Using A Spatial-Temporal CNN Model With Transfer Learning , TRB, 2020, Washington DC
• 11. Dong Xiao, Tianqi Gu, Yuanqiu Bao, and Kim, I., Inferring The Optimal Number Of Dockless Shared Bike In A New Area By Applying The Gradient Boosting Decision Tree
  Model, TRB, 2020, Washington DC
• 12. Taeho Oh, Yanping Xu, Zhibin Li, and Kim, I., The Use of Emerging Virtual Reality Technology in Road Safety Analysis: The Hook-Turn Case , TRB, 2020, Washington DC
• 13. Chunliang Wu, Kim, I., Exploring the relationship between built environment and public sharing bike flow in Suzhou, China using geographically weighted regression model, TRB,2019, Washington DC
• 14. Wenhua Jiang, Kim, I., Imputation of missing transfer passenger flow with self-measuring multi-task gaussian process, TRB, 2019, Washington DC
• 15. Meina Zheng, Kim, I, An analysis of short-term available parking space forecasting method based on LSTM neural network, TRB, 2019, Washington DC
• 16. Duy Nguyen-Phuoc, Kim, I, Turn signal use among car drivers and motorcyclists at intersections: a case study of Danang, Vietnam, TRB, 2019, Washington DC
• 17. Khaled Sabban, Kim, I, User Satisfaction of the Road Network: A Structural EquationModel, TRB, 2019, Washington DC
• 18. Wu, C., Kim, I., Liu, Z., Exploring Human Mobility Pattern Using Complex Network Theory and Spatial Econometric Model, HKSTS 2018
• 19. Xinyuan Chen, Zhiyuan Liu and Kim, I., Parallel computing for user equilibrium problem Inhi Kim Page 15 of 14 in a cluster with integrated computing resources, HKSTS 2018
• 20. Xu, X., Liu, Z., Kim, I.,Optimal Sitting and Sizing of the Remote Park-and-Ride Scheme in the Multimodal Transport Network, TRB 2018
• 21. Song, C., Bao, Y., Gu, T., Kim, I. Perspectives of opening a gated community and its effect, CICTP 2017, Shanghai, China
• 22. Xu, X., Lin, H., Liu, Z., Kim, I., Understanding road rage: Insights from a synthesis of research, CICTP 2017, Shanghai, China
• 23. Zhu, S., Kim, I., Zhao, Q., Song, G., Yu, L., Analysis of Vehicle Stop-And-Go Driving Behaviors at Signalized Intersections, CICTP 2017, Shanghai, China
• 24. Chen, X., Liu, Z., Kim, I., Cheng, Q., Chen, Z., Modelling asymmetric and non-additive P&R schemes, CICTP 2017, Shanghai, China
• 25. Wu, C., Shao, Y., An, K., Kim, I., Analysis of Public Bicycle Sharing Network based on Complex Network Theory, CICTP 2017, Shanghai, China
• 26. Wang, B., Hua, L., Kim, I., Social media application for illegal parking problem, CICTP 2017, Shanghai, China
• 27. Cao, X., Young, W., Sarvi, M., Kim, I. A Study of Lane Change Behavior of Heavy Vehicle and Passenger Car on the Influence of Conflict, TRB 2017
• 28. ZHU, S., Kim, I., & FERREIRA, L Analysis of Vehicle-Specific Power Distribution of Stop-and-Go Behaviors at Signalized Intersections, TRB 2017
• 29. SHABBAN, K. & Kim, I.,. Using Structural Equation Modeling to Understand Red Light Running Related Crashes, TRB 2017
• 30. Cao, X., Young, W., Kim, I., A study of mandatory lane-changing execution behaviour model considering conflicts, ATRF 2016
• 31. Jing ,W, Liu, Z, Kim, I., and Mohsen Ramezani, Stochastic Traffic Assignment of Electric Vehicle with Path Distance, ISTS&IWTDCS’ , Jeju, Korea 2016
• 32. Liu,Z., Chen,X. and Kim, I., Title : A New Model for Rail-Based Park-And-Ride with Feeder Bus Services, ISTS&IWTDCS’ Jeju, Korea 2016
• 33. Han, J., Kim, T., Lee, S., Kim, I., Frame signal control based on traffic condition using estimated data in Korea, 23 rd ITS World Congress, Melbourne, Australia 2016
• 34. Rose, G., Kim, I., Jones, T., An ITS application to predict urban railway level crossing closure times, 23 rd ITS World Congress, Melbourne, Australia 2016
• 35. Cao, X., Young, W., Sarvi, M., Kim, I., a study of mandatory lane-changing execution behaviour model for heavy vehicles and passenger cars. Trasnportation Research Board 2016. Washington DC
• 36. Kim, I., LARUE, G. S., FERREIRA, L., RAKOTONIRAINY, A. &. SHABBAN, K. 2014. Traffic Safety at Road-Rail Level Crossings Using a Driving Simulator and Traffic Simulation. Trasnportation Research Board 2015. Washington DC
• 37. SHABBAN, K. & Kim, I., 2015. Comparison of SimTraffic and Vissim Microscopic Traffic Simulation Tools in Modeling Roundabouts ANT 2015. Greenwich, UK
• 38. Kim, I. & KANG, H. A Study of Delay-Based Level of Service on Pedestrian Facility. 36th Australasian Transport Research Forum, 2013 Brisbane.
• 39. Kim, I., LARUE, G. S., FERREIRA, L., TAVASSOLI, A. & RAKOTONIRAINY, A. Evaluating ITS Inhi Kim Page 16 of 14 interventions at railway level crossings using a driving simulator. 36th Australasian Transport Research Forum, 2013 Brisbane.
• 40. LARUE, G. S., Kim, I., RAKOTONIRAINY, A. & FERREIRA, L. Integrating driving and traffic simulator to study railway level crossing safety interventions – A methodology.COMPRAIL 2012 New Forest, UK.
• 41. TEY, L. S., Kim, I. & FERREIRA, L. Evaluating Safety at Railway Level Crossings using Micro-simulation Modelling. Transportation Research Board 91st Annual Meeting, 2012 Washington, D.C.
• 42. GALIZA, R. Kim, I., FERREIRA, L. & Laufer, J. Modelling Pedestrian Circulation in Rail Transit Stations Using Micro-Simulation. 2009 Auckland, New Zealand