l Overview
ØEducation
2006.09-2010.07, Beijing Jiaotong University, Bachelor Degree
2010.09-2016.04, Beijing Jiaotong University, Ph.D. Degree
ØWorking Experiences
2016.05-2017.05, Auburn University, Post-doctor
2017.08-2020.12, Beijing Transport Institute, Post-doctor
2020.12-2022.10, Beijing Technology and Business University, School of E-Business and Logistics, Bachelor
2022.10- present, Beijing Technology and Business University, Business School, Bachelor
l Research Interests
Urban freight, transportation planning, transportation energy conservation and emission reduction
l Courses
Logistics System Theory, Logistics Information System, purchasing management
lPublications
ØSelected Academic Articles
1. Yuting Zhu, Hao Ma, Chuan Sha, Yang Yang, Haijiao Sun, Feifei Ming. Which strategy among avoid, shift, or improve is the best to reduce CO2 emissions from sand and gravel aggregate transportation?[J]. Journal of Cleaner Production, 2023, 391: 136089.
2. Yang Yang, Shao Xin, Zhu Yuting (Corresponding author), Yao Enjian, Liu Dongmei, Zhao Feng. Short-Term Forecasting of Dockless Bike-Sharing Demand with the Built Environment and Weather[J]. Journal of Advanced Transportation, 2023: 7407748.
3. Yuting Zhu, Baohua Mao, Yun Bai, Shaokuan Chen. A bi-level model for single-line rail timetable design with consideration of demand and capacity[J]. Transportation Research Part C: Emerging Technologies, 2017, 85:211-233.
4. Zhu Yu-Ting, Mao Bao-Hua, Liu Lu, Li Ming-Gao. Timetable Design for Urban Rail Line with Capacity Constraints[J]. Discrete Dynamics in Nature and Society, 2015:1-11.
5. Zhu Yu-Ting, Liu Ying, Xu Qi, et al., Spatial Characteristics Analysis of Traffic Accessibility and City Economic Activity: A Case Study of Beijing[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(5):212-217.
6. Zhu Yu-Ting, Guo Ji-fu, Yu Liu, et al., Congestion-based Timetable Synchronization Optimization Model in Urban Subway Network [J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(6): 171-177.
7. Zhu Yu-Ting, Rong Ya-ping, Zhao Xin-miao. Impact of Transfer Efficiency on the Market Share of Urban Rail Transit [J]. Journal of Transportation Systems Engineering and Information Technology, 2017(2): 35-40.
8. Zhu Yu-Ting, Mao Bao-hua, Shi Rui-jia, et al., Optimization of Urban Rail Timetable with Consideration of Passenger Departure Time Choices [J]. Journal of The China Railway Society, 2016, 38(5): 1-10.
9. Zhu Yu-Ting, Mao Bao-hua, Wu Ke-qi, et al., Research on Running Speeds of Intercity Railway Trains with the Consideration of Corridor's Energy Consumption [J]. Transactions of Beijing Institute of Technology, 2016, 36(s2): 58-62.
10. Zhu Yu-Ting, Mao Bao-hua, Li Ming-gao, et al., Railway Assignment Model with Vehicle Capacity Constraints [J]. Journal of Transportation Systems Engineering and Information Technology, 2013, 13(6): 134-139.
11. Zhu Yu-Ting, Mao Bao-hua, Wang Yong-Liang, et al., Traffic Structure in Middle-and-long Corridor and Transportation Strategy of High-speed Railway [J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(1):17-22.
ØBooks
1. Zhu Yuting (Member of the Editorial Board). Technical Principle and Application of Motor vehicle Energy measurement products [M]. 2019.
2. Zhu Yuting (Member of the Editorial Board). Cause Analysis and Countermeasures of Traffic congestion in Beijing [M]. 2019.
ØFund Projects
1. the Research Foundation for Youth Scholars of Beijing Technology and Business University, Research on optimization of train operation scheme of urban rail transit network under mixed passenger and cargo transportation, 2022-2023.
2. Beijing Transport Institute, Research on load mileage identification algorithm of new energy light trucks in Beijing, 2022-2023.
3. Beijing Municipal Road & Bridge Building Material Group Co., Study on key technologies and emission reduction scenarios of carbon footprint at the transport part of asphalt pavement, 2023.
4. National Natural Science Foundation of China, Modeling and analysis of system reliability with protection devices, 2023-2027.