Research/Scholarly/Creative Works

Journal Articles

• Hu S., Xie K., Shan X., Lin H. and Chen X. (2020) Modeling Usage Frequencies and Vehicle Preferences in a Large-Scale Electric Vehicle Sharing System. IEEE Intelligent Transportation Systems Magazine http://dx.doi.org/10.1109/MITS.2019.2953561.

• Zhang Y., Cheng T., Ren Y. and Xie K. (2020) A novel residual graph convolution deep learning model for short-term network-based traffic forecasting. International Journal of Geographical Information Science 34(5): 969-995. http://dx.doi.org/10.1080/13658816.2019.1697879.

• Cui H., Xie K., Hu B., Lin H. and Zhang R. (2019) Analysis of Bus Speed Using a Multivariate Conditional Autoregressive Model: Contributing Factors and Spatiotemporal Correlation. Journal of Transportation Engineering Part A: Systems 145(4) http://dx.doi.org/10.1061/JTEPBS.0000226.

• Hu X., Yuan Y., Zhu X., Yang H. and Xie K. (2019) Behavioral responses to pre-planned road capacity reduction based on smartphone GPS trajectory data: A functional data analysis approach. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations 23(2): 133-143. http://dx.doi.org/10.1080/15472450.2018.1488133.

• Lee S., Xie K., Ngoduy D. and Keyvan-Ekbatani M. (2019) An advanced deep learning approach to real-time estimation of lane-based queue lengths at a signalized junction. Transportation Research Part C: Emerging Technologies 109: 117-136. http://dx.doi.org/10.1016/j.trc.2019.10.011.

• Ma Q., Yang H., Zhang H., Xie K. and Wang Z. (2019) Modeling and Analysis of Daily Driving Patterns of Taxis in Reshuffled Ride-Hailing Service Market. Journal of Transportation Engineering Part A: Systems 145(10) http://dx.doi.org/10.1061/JTEPBS.0000266.

• Xie K., Ozbay K. and Yang H. (2019) A multivariate spatial approach to model crash counts by injury severity. Accident Analysis and Prevention 122: 189-198. http://dx.doi.org/10.1016/j.aap.2018.10.009.

• Xie K., Ozbay K., Yang H. and Li C. (2019) Mining automatically extracted vehicle trajectory data for proactive safety analytics. Transportation Research Part C: Emerging Technologies 106: 61-72. http://dx.doi.org/10.1016/j.trc.2019.07.004.

• Xie K., Ozbay K., Yang H. and Yang D. (2019) A New Methodology for Before–After Safety Assessment Using Survival Analysis and Longitudinal Data. Risk Analysis 39(6): 1342-1357. http://dx.doi.org/10.1111/risa.13251.

• Xie K., Yang D., Ozbay K. and Yang H. (2019) Use of real-world connected vehicle data in identifying high-risk locations based on a new surrogate safety measure. Accident Analysis and Prevention 125: 311-319. http://dx.doi.org/10.1016/j.aap.2018.07.002.

• Xu C., Wang X., Yang H., Xie K. and Chen X. (2019) Exploring the impacts of speed variances on safety performance of urban elevated expressways using GPS data. Accident Analysis and Prevention 123: 29-38. http://dx.doi.org/10.1016/j.aap.2018.11.012.

• Gao J., Xie K. and Ozbay K. (2018) Exploring the spatial dependence and selection bias of double parking citations data. Transportation Research Record: Journal of the Transportation Research Board 2672(42): 159-169. http://dx.doi.org/10.1177/0361198118792323.

• Lee S., Xie K., Ngoduy D., Keyvan-Ekbatani M. and Yang H. (2018) A lane-based predictive model of downstream arrival rates in a queue estimation model using a long short-term memory network. Transportation Research Procedia 34: 163-170. http://dx.doi.org/10.1016/j.trpro.2018.11.028.

• Xie K., Ozbay K. and Yang H. (2018) Secondary collisions and injury severity: A joint analysis using structural equation models. Traffic Injury Prevention 19(2): 189-194. http://dx.doi.org/10.1080/15389588.2017.1369530.

• Yang H., Wang Z., Xie K., Ozbay K. and Imprialou M. (2018) Methodological evolution and frontiers of identifying, modeling and preventing secondary crashes on highways. Accident Analysis and Prevention 117: 40-54. http://dx.doi.org/10.1016/j.aap.2018.04.001.

• Yang H., Xie K., Ozbay K., Ma Y. and Wang Z. (2018) Use of deep learning to predict daily usage of bike sharing systems. Transportation Research Record: Journal of the Transportation Research Board 2672(36): 92-102. http://dx.doi.org/10.1177/0361198118801354.

• Xie K., Ozbay K., Kurkcu A. and Yang H. (2017) Analysis of Traffic Crashes Involving Pedestrians Using Big Data: Investigation of Contributing Factors and Identification of Hotspots. Risk Analysis 37(8): 1459-1476. http://dx.doi.org/10.1111/risa.12785.

• Xie K., Ozbay K., Zhu Y. and Yang H. (2017) Evacuation zone modeling under climate change: A data-driven method. Journal of Infrastructure Systems 23(4): 1-9. http://dx.doi.org/10.1061/(ASCE)IS.1943-555X.0000369.

• Xie K., Ozbay K., Zhu Y., Demiroluk S., Yang H. and Nassif H. (2017) Modeling salt usage during snowstorms: Application of hierarchical linear models with varying dispersion. Transportation Research Record 2643(1): 54-64. http://dx.doi.org/10.3141/2643-07.

• Yang H., Wang Z. and Xie K. (2017) Impact of connected vehicles on mitigating secondary crash risk. International Journal of Transportation Science and Technology 6(3): 196-207. http://dx.doi.org/10.1016/j.ijtst.2017.07.007.

• Yang H., Wang Z., Xie K. and Dai D. (2017) Use of ubiquitous probe vehicle data for identifying secondary crashes. Transportation Research Part C: Emerging Technologies 82: 138-160. http://dx.doi.org/10.1016/j.trc.2017.06.016.

• Zhu Y., Xie K., Ozbay K., Zuo F. and Yang H. (2017) Data-driven spatial modeling for quantifying networkwide resilience in the aftermath of hurricanes Irene and Sandy. Transportation Research Record 2604: 9-18. http://dx.doi.org/10.3141/2604-02.

• Yang H., Morgul EF., Ozbay K. and Xie K. (2016) Modeling evacuation behavior under hurricane conditions. Transportation Research Record 2599: 63-69. http://dx.doi.org/10.3141/2599-08.

• Zhu Y., Ozbay K., Xie K. and Yang H. (2016) Using big data to study resilience of taxi and subway trips for Hurricanes Sandy and Irene. Transportation Research Record 2599: 70-80. http://dx.doi.org/10.3141/2599-09.

• Wang X., Li J. and Xie K. (2015) Signalized intersection hotspot identification based on potential for safety improvement. Tongji Daxue Xuebao/Journal of Tongji University 43(3): 410-415. http://dx.doi.org/10.11908/j.issn.0253-374x.2015.03.014.

• Xie K., Ozbay K. and Yang H. (2015) Spatial analysis of highway incident durations in the context of Hurricane Sandy. Accident Analysis and Prevention 74: 77-86. http://dx.doi.org/10.1016/j.aap.2014.10.015.

• Xie K., Ozbay K., Yang H., Holguín-Veras J. and Morgul EF. (2015) Modeling Safety Impacts of Off-Hour Delivery Programs in Urban Areas. Transportation Research Record 2478: 19-27. http://dx.doi.org/10.3141/2478-03.

• Yang H., Ozbay K. and Xie K. (2015) Improved travel time estimation for reliable performance measure development for closed highways. Transportation Research Record 2526: 29-38. http://dx.doi.org/10.3141/2526-04.

• Yang H., Ozbay K., Ozturk O. and Xie K. (2015) Work Zone Safety Analysis and Modeling: A State-of-the-Art Review. Traffic Injury Prevention 16(4): 387-396. http://dx.doi.org/10.1080/15389588.2014.948615.

• Wang X., Xie K., Abdel-Aty M., Chen X. and Tremont PJ. (2014) Systematic approach to hazardous-intersection identification and countermeasure development. Journal of Transportation Engineering 140(6) http://dx.doi.org/10.1061/(ASCE)TE.1943-5436.0000660.

• Xie K. and Wang XS. (2014) Signalized intersection safety analysis using Bayesian hierarchical model. Zhongguo Gonglu Xuebao/China Journal of Highway and Transport 27(2): 90-97.

• Xie K., Wang X., Ozbay K. and Yang H. (2014) Crash frequency modeling for signalized intersections in a high-density urban road network. Analytic Methods in Accident Research 2: 39-51. http://dx.doi.org/10.1016/j.amar.2014.06.001.

• Yang H., Ozbay K. and Xie K. (2014) Assessing the risk of secondary crashes on highways. Journal of Safety Research 49: 143-149. http://dx.doi.org/10.1016/j.jsr.2014.03.007.

• Yang H., Ozbay K., Morgul EF., Bartin B. and Xie K. (2014) Development of online scalable approach for identifying secondary crashes. Transportation Research Record 2470: 24-33. http://dx.doi.org/10.3141/2470-03.

• Xie K., Wang X., Huang H. and Chen X. (2013) Corridor-level signalized intersection safety analysis in Shanghai, China using Bayesian hierarchical models. Accident Analysis and Prevention 50: 25-33. http://dx.doi.org/10.1016/j.aap.2012.10.003.

• Deng H., Wang X. and Xie K. (2012) Intersection hotspot identification and crash cause analysis based on traffic conflict technology. Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) 36(2): 370-373. http://dx.doi.org/10.3963/j.issn.1006-2823.2012.02.035.

• Wang X., Xie K., Chen X. and Wang K. (2012) Risk factor analysis for signalized intersections along corridors with a consideration of spatial correlation. Tongji Daxue Xuebao/Journal of Tongji University 40(12): 1814-1820. http://dx.doi.org/10.3969/j.issn.0253-374x.2012.12.012.

Chapters

• Xie K., Ozbay K., Zhu Y. and Yang H. (2016) Case studies for data-oriented emergency management/planning in complex urban systems. : 190-207. http://dx.doi.org/10.1007/978-3-662-53416-8_12.

• Xie K., Ozbay K. and Yang H. (2014) The heterogeneity of capacity distributions among different freeway lanes. Transportation Research Circular E-C197, Celebrating 50 Years of Traffic Flow Theory: A Symposium http://dx.doi.org/10.17226/22095.

Conference Contributions - Published

• Wang X., Pei S., Li J. and Xie K.. (2018) Transferability study of urban arterial safety performance functions between Shanghai and Guangzhou. In.

• Xie K., Ozbay K., Yang D., Xu C. and Yang H.. (2018) Modeling bicycle crash costs using a grid-cell-based random parameters Tobit model. In.

• Yang H., Wang Z., Ozbay K. and Xie K.. (2018) An improved methodological framework based on probe vehicle data for detecting secondary crashes. In.

• Yang H., Wang Z., Xie K. and Ma Y.. (2018) A deep learning approach to predict severity levels of work zone crashes. In.

• Zhu Y., Xie K., Ozbay K. and Yang H.. (2018) Hurricane Evacuation Modeling Using Behavior Models and Scenario-Driven Agent-based Simulations. In Procedia Computer Science 130: 836-843. http://dx.doi.org/10.1016/j.procs.2018.04.074.

• Correa D., Xie K. and Kaan O.. (2017) Exploring the taxi and uber demand in New York City: An empirical analysis and spatial modeling. In.

• Li C., Chiang A-T., Dobler G., Wang Y., Xie K., Ozbay K., Ghandehari M., Zou J. and Wang D.. (2016) Robust vehicle tracking for urban traffic videos at intersections. In.

• Xie K., Li C., Ozbay K., Dobler G., Yang H., Chiang A-T. and Ghandehari M.. (2016) Development of a comprehensive framework for video-based safety assessment. In http://dx.doi.org/10.1109/ITSC.2016.7795980.

• Xie K., Ozbay K. and Yang H.. (2014) Before-after safety evaluations using parametric Bayesian survival analysis. In.

Future Research

• Detect high-risk locations using crowdsourcing data
• Evacuation modeling in the context of connected and autonomous vehicles
• Survival analysis for longitudinal safety evaluation