Dr. Yongjun Shen is a professor of the School of Transportation at Southeast University in China, and a guest professor of the School of Transportation Sciences at Hasselt University in Belgium. He received his Ph.D in Transportation Sciences from Transportation Research Institute (IMOB) of Hasselt University in 2012, and continued to work in Hasselt University as a postdoc researcher and later an assistant professor. From October 2017, he started to work at the School of Transportation of Southeast University.
Dr. Shen’s current research interests include traffic safety and sustainability, travel behavior modeling, driving simulator research, data mining and decision making. During the past years, he has participated in a number of EU, Flemish, and Chinese research projects, and has published over 80 articles in scientific peer-reviewed journals, books, and conferences, such as Transportation Research Part C, Accident Analysis and Prevention, etc. He currently serves as a guest editor of several international journals, such as Transportation Research Part D, and as international program committee member of several international conference series, such as FLINS and ISKE.
Email：shenyongjun@seu.edu.cn
Selected Journal Publications
§Shen, Y. (2018), Developing a comprehensive road safety index: A revisit of the SUNflowerNext study. Transportation Research Record: Journal of the Transportation Research Board. 1-12.
§Shah, S.A.R., Ahmad, N., Shen, Y., Pirdavani, A., Basheer, M.A. & Brijs, T. (2018). Road safety risk assessment: An analysis of transport policy and management for low-, middle-, and high-income Asian countries. Sustainability, Vol. 10, 1-30.
§Bao, Q., Kochan, B., Shen, Y., Creemers, L., Bellemans, T., Janssens, D. & Wets, G. (2018). Applying FEATHERS for travel demand analysis: Model considerations. Applied Sciences, Vol. 8, 886, pp. 1-12.
§Shah, S.A.R., Brijs, T., Ahmad, N., Pirdavani, A., Shen, Y. & Basheer, M.A. (2017). Road safety risk evaluation using GIS-based data envelopment analysis-artificial neural networks approach. Applied Sciences, Vol. 7, No. 9, 886, pp. 1-19.
§Behnood, H.R., Ayati, E., Brijs, T., Neghab, M.P. & Shen, Y. (2017). A fuzzy decision support system in road safety planning. Proceedings of the Institution of Civil Engineers-Transport, Vol. 170, No. 5, pp. 305-317.
§Bao, Q., Kochan, B., Shen, Y., Bellemans, T., Janssens, D. & Wets, G. (2016). Activity-based travel demand modeling framework FEATHERS: Sensitivity analysis with decision trees. Transportation Research Record: Journal of the Transportation Research Board, No. 2564, pp. 89-99.
§Li, T., Ruan, D., Shen, Y., Hermans, E. & Wets, G. (2016). A new weighing approach based on rough sets theory and granular computing for road safety indicator analysis. Computational Intelligence, Vol. 32, No. 4, pp. 517-534.
§Shen, Y., Hermans, E., Bao, Q., Brijs, T., Wets, G. & Wang, W. (2015). International benchmarking of road safety: State of the art. Transportation Research Part C: Emerging Technologies, Vol. 50, pp. 37-50.
§Shen, Y., Hermans, E., Bao, Q., Brijs, T. & Wets, G. (2015). Serious injuries: an additional indicator to fatalities for road safety benchmarking. Traffic Injury Prevention, Vol. 16, No. 3, pp. 246-253.
§Bastos, J.T., Shen, Y., Hermans, E., Brijs, T., Wets, G. & Ferraz, A.C.P. (2015). Traffic fatality indicators in Brazil: State diagnosis based on data envelopment analysis research. Accident Analysis & Prevention, Vol. 81, pp. 61-73.
§Bastos, J.T., Shen, Y., Hermans, E., Brijs, T., Wets, G. & Ferraz, A.C.P. (2015). Bootstrapping DEA scores for road safety strategic analysis in Brazil. International Journal of Computational Intelligence Systems, Vol. 8, pp. 29-38.
§Bao, Q., Shen, Y., Creemers, L., Kochan, B., Bellemans, T., Janssens, D. & Wets, G. (2015). Investigating the minimum size of study area for an activity-based travel demand forecasting model. Mathematical Problems in Engineering, Vol. 2015, Article ID 162632, pp. 1-9.
§Bao, Q., Kochan, B., Bellemans, T., Shen, Y., Creemers, L., Janssens, D. & Wets, G. (2015). Travel demand forecasting using activity-based modeling framework FEATHERS: An extension. International Journal of Intelligent Systems, Vol. 30, No. 8, pp. 948-962.
§Babaee, S., Shen, Y., Hermans, E., Wets, G., Brijs, T. & Ariën, C. (2014). Combining driving performance information in an index score: A simulated curvetaking experiment. Transportation Research Record: Journal of the Transportation Research Board, No. 2434, pp. 44-51.
§Shen, Y., Hermans, E., Bao, Q., Brijs, T. & Wets, G. (2013). Road safety development in Europe: A decade of changes (2001-2010). Accident Analysis & Prevention, Vol. 60, pp. 85-94.
§Shen, Y., Hermans, E., Brijs, T. & Wets, G. (2013). Data envelopment analysis for composite indicators: A multiple layer model. Social Indicators Research, Vol. 114, No. 2, pp. 739-756.
§Shen, Y., Hermans, E., Brijs, T., Wets, G. & Vanhoof, K. (2012). Road safety risk evaluation and target setting using data envelopment analysis and its extensions. Accident Analysis & Prevention, Vol. 48, pp. 430-441.
§Bao, Q., Ruan, D., Shen Y., Hermans, E. & Janssens, D. (2012). Improved hierarchical fuzzy TOPSIS for road safety performance evaluation. Knowledge-Based Systems, Vol. 32, pp. 84-90.
§Shen, Y., Hermans, E., Ruan, D., Wets, G., Brijs, T. & Vanhoof, K. (2011). A generalized multiple layer data envelopment analysis model for hierarchical structure assessment: A case study in road safety performance evaluation. Expert Systems with Applications, Vol. 38, No. 12, pp. 15262-15272.
§Shen, Y., Ruan, D., Hermans, E., Brijs, T., Wets, G. & Vanhoof, K. (2011). Sustainable road transport in the European Union: Changes in undesirable impacts. Transportation Research Record: Journal of the Transportation Research Board, No. 2242, pp. 37-44.
§Shen, Y., Ruan, D., Hermans, E., Brijs, T., Wets, G. & Vanhoof, K. (2011). Modeling qualitative data in data envelopment analysis for composite indicators. International Journal of Systems Assurance Engineering and Management, Vol. 2, No. 1, pp. 21-30.
§Shen, Y., Li, T., Hermans, E., Ruan, D., Wets, G., Vanhoof, K. & Brijs, T. (2010). A hybrid system of neural networks and rough sets for road safety performance indicators. Soft Computing, Vol. 14, No. 12, pp. 1255-1263.
Shen, Y., Hermans, E., Ruan, D., Wets, G., Brijs, T. & Vanhoof, K. (2010). Evaluating trauma management performance in Europe: A multiple-layer data envelopment analysis model. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2, No. 2148, pp. 69-75.