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:10.1155/2022/8929826
  2. Jiang, W., Zheng, N., & Kim, I. (2022). 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:3.030
  3. Xu, L., Oh, T., Kim, I., & Hu, X. (2022). Are shared streets acceptable to pedestrians and drivers? Evidence from Virtual Reality experiments Plos One, In Press. IF:3.240
  4. Jeong, H., Kim, I., Han, K., & Kim, J. (2022). Comprehensive Analysis of Traffic Accidents in Seoul: Major Factors and Types Affecting Injury Severity. Applied Sciences, 12(4), 1790. IF: 2.679
  5. Wu, C., Chung, H., Liu, Z., & Kim, I. (2021). 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:3.929
  6. 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 and Prevention, 154. https://dor.ogr/10.1016/j.aap.2021.106093, IF:4.993
  7. 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. https://dor.ogr/10.1016/j.cities.2020.103063, IF:5.835
  8. Wang, B., Shaaban, K., & Kim, I. (2021). 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:3.006
  9. Wang, B., Vu, H. L., Kim, I., & Cai, C. (2021). Short-term traffic flow prediction in bike-sharing networks. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. https://dor.ogr/10.1080/15472450.2021.1904921, IF:4.277
  10. Gu, T., Kim, I., & Currie, G. (2021). 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 Transportation Safety 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 of Sustainable 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 and Practice, 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 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). Volume Delay Function Calibration Based on GPS Trajectory data, 39(4), 399-408, Journal of Korean Society of Transportation
  3. Jiang, W., Ma, Z., Kim, I., & Lee, S. (2020). Revealing Mobility Regularities in Urban Rail Systems. Procedia Computer Science, 170, 219-226
  4. 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). 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). 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). 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). 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 Based 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 Equation Model, 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 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, 23rd ITS World Congress, Melbourne, Australia 2016
  34. Rose, G., Kim, I., Jones, T., An ITS application to predict urban railway level crossing closure times, 23rd 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 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

 

Book Chapter

  1. Kim, I. and An, K, Traffic flow theory and relationships in Delbosc, A (Ed.) ‘Traffic Engineering and Management’. Monash Institute of Transport Studies, 2017
  2. Wu, L. and Kim, I., International Encyclopedia of Transportation. Elsevier, 2021