李遥 ，女，博士，合肥工业大学副教授，硕士研究生导师。2017年12月毕业于中国科学技术大学，获管理学博士学位；2016年9月至2017年9月在美国普渡大学交通工程系从事访问研究。主要研究方向为电力与交通耦合优化、城市交通规划管理与城市经济学。近年来，主持国家自然科学基金青年科学基金项目、教育部人文社科基金青年基金项目、安徽省自然科学基金青年科学基金项目、合肥工业大学“学术新人计划”等项目以及合肥工业大学哲学社科项目。在《Transportation Research Part E》、《Transportation Research Part C》、《Computers and Operation Research》、《Energy Policy》、《Transportation Research Part B》等期刊发表论文二十余篇。担任《Energy Economics》、《Annals of Operations Research》、《Transportmetrica A: Transport Science》等期刊匿名审稿人。

        欢迎有有较强计算机编程、数学基础，对智慧交通运营与管理、交通与城市耦合建模与优化、城市交通规划与管理、可持续城市网络设计等领域有兴趣的同学报考硕士研究生。也欢迎本校大一、大二的同学加入课题组申报"大创"项目。我的联系邮箱：yaoli@hfut.edu.cn

项目列表：

【1】“光储充”一体化智慧能源系统规划与运营研究.“哲学社会科学培育计划”项目，2024.06-2026.06（主持，在研）

【2】个人交通碳交易机制设计与居民低碳出行决策优化建模及应用研究——基于心理账户视角.国家自然科学基金青年科学基金项目（71904039）, 2020.01--2022.12.（主持，结题）

【3】低碳导向下城市分区域道路收费策略研究.教育部人文社科青年基金项目（19YJC630089）, 2019.05--2021.12.（主持，结题）

【4】低碳约束下城市分区域非线性道路拥挤收费策略研究（1908085QG297）安徽省自科基金青年基金项目 2019.07--2021.06.（主持，结题）

【5】个人碳交易背景下考虑城市居民行为特征的私家车停驶及出行的优化策略及应用研究,. 学术新人提升计划A项目（JZ2019HGTA0052）, 2019.04--2020.12, (主持，结题)

【6】考虑区域差异性的道路拥挤收费策略研究. 校博士专项科研资助基金（JZ2018HGBZ0098）, 2018.0--2020.04（主持，结题）

论文列表：

[1]  Wang Ting, Li Yao*, Jia Bin*, Jiancheng Long (2024). An autonomous vehicle exlusive lane design problem under the mixed autonomy traffic environment: Model formulation and Large-scale algorithm design. Transportation Research Part E: Logistics and Transportation Review. 188, 103534.

[2] Wang, S., **a, M., Cheng, W., Li, Y*., & Hou, B. (2023). Urban Spatial Structure and Green Innovation in China. Journal of Urban Planning and Development, 149(3), 04023023.

[3] Li, Y., & Wang, S. (2023). Personal emission permit trading scheme: urban spatial equilibrium and planning. Natural Hazards, 116(1), 1239-1259.

[4] Zhu, T., Li, Y.*, & Long, J. (2022). Departure time choice equilibrium and tolling strategies for a bottleneck with continuous scheduling preference. Transportation Research Part E: Logistics and Transportation Review, 159, 102644.

[5] Wang, S., Li, Y.*, & Jia, J. (2022). How to promote sustainable adoption of residential distributed photovoltaic generation in China? An employment of incentive and punitive policies. Mitigation and Adaptation Strategies for Global Change, 27(2), 1-26.

[6] Li, Y., Long, J.*, & Yu, M. (2021). A time-dependent shared autonomous vehicle system design problem. Transportation Research Part C: Emerging Technologies, 124, 102956.

[7] Li Yao*(2020). Dynamic system optimal performances of shared autonomous and human vehicle system for heterogeneous travellers, Mathematical and Computer Modelling of Dynamical Systems,26:5,481-499. 

[8] Lu, Xiao-Shan* & Zhang, Xin & Long, Jiancheng & Li, Yao. (2020). Managing rail transit peak-hour congestion with step fare schemes. Transportmetrica A: Transport Science. 1-30. 10.1080/23249935.2020.1756978.

[9] Li, Y., Ukkusuri, S. V.*, & Fan, J. (2018). Managing congestion and emissions in transportation networks with dynamic carbon credit charge scheme. Computers & Operations Research, 99, 90-108.

[10] Long, J., Tan, W., Szeto, W. Y.*, & Li, Y. (2018). Ride-sharing with travel time uncertainty. Transportation Research Part B: Methodological,118, 143-171.

[11] Wang, S., Li, J., Song, J., Li, Y., & Sherk, M. (2018). Institutional pressures and product modularity: do supply chain coordination and functional coordination matter? International Journal of Production Research, 56(20), 6644-6657.

[12] Li, Y*., He, H., Fan, J., Shi, X., & Zhao, D. (2017). Can personal gasoline permit trading be effective? An investigation into permit demand. Journal of cleaner production, 142, 98-108.

[13] Li, Y., Fan, J.*, Zhao, D., Wu, Y., & Li, J. (2016). Tiered gasoline pricing: A personal carbon trading perspective. Energy Policy, 89, 194-201.

[14] Fan, J., Li, Y.*, Wu, Y., Wang, S., & Zhao, D. (2016). Allowance trading and energy consumption under a personal carbon trading scheme: a dynamic programming approach. Journal of Cleaner Production, 112, 3875-3883.