大连理工大学交通运输学院，2017.12-至今，副教授 Technical University of Denmark，2017.12-2018.12，客座研究员 大连理工大学（大连市城市规划设计研究院），2016.8-2019.10，博士后

主要项目 序号 起止时间 项目性质和来源 项目名称 经费总额（万元） 具体任务 1 2020年1月～2023年12月 国家自然科学基金/国家自然科学基金委 考虑可达性的自动驾驶共享车辆最优定价模型与策略研究 50.0 项目负责人 2 2018年1月～2020年12月 国家自然科学基金/国家自然科学基金委 考虑负面土地利用效应的道路拥挤收费模型与方法：基于帕累托优化原理 19.0 项目负责人 3 2018年7月～2020年ᠦ୔

(1) 专著 [1] 钟绍鹏, 隽海民. 城市土地利用与交通整合理论、方法和实践. 科学出版社, 2018. [2] 钟绍鹏, 赵胜川. 交通信息化环境下随机道路网络拥挤收费理论与方法. 科学出版社, 2017. (2) 英文期刊论文 [1] Song J., Zhao C., Zhong S., Neilsen T.A.S., Prishchepov A.V. Mapping spatio-temporal patterns and detecting the factors of traffic congestion with multi-source data fusion and mining techniques. Computers, Environment and Urban Systems, 77, 101364. (SSCI) (JCR Q1) [2] Zhong S., Bushell M. Impact of the built environment on the vehicle emission effects of road pricing policies: A simulation case study. Transportation Research Part A: Policy and Practice, 2017, 103: 235-249. (SSCI/SSCI/EI) (JCR Q1) (大工认定TOP 2) [3] Zhong S., Bushell M. Built environment and potential job accessibility effects of road pricing: A spatial econometric perspective. Journal of Transport Geography, 2017, 60: 98-109. (SSCI) (JCR Q1) (大工认定TOP 4) [4] Zhong S., Xiao X., Bushell M., et al. Optimal road congestion pricing for both traffic efficiency and safety under demand uncertainty. Journal of Transportation Engineering, Part A: Systems, 2017, 143(4): 1-10. (SCI/EI) (大工认定TOP 1) [5] Zhong S., Wang S., Jiang Y., et al. Distinguishing the land use effects of road pricing based on the urban form attributes. Transportation Research Part A: Policy and Practice, 2015, 74: 44-58. (SSCI/SSCI/EI) (JCR Q1) (大工认定TOP 2) [6] Zhong S., et al. Reliability-based congestion pricing model under endogenous equilibrated market penetration and compliance rate of ATIS. Journal of Central South University, 2015, 22(3): 1155-1165. (SCI/SSCI/EI) [7] Zhong S., Zhang L., Bushell M. Reliability-based marginal cost pricing problem case with both demand uncertainty and travelers' perception errors. Mathematical Problems in Engineering, 2013: 1-13. (SCI/SSCI/EI) [8] Zhang L., Zhong S. Directional lane-allocation concerning demand uncertainty. IET Intelligent Transport Systems, 2013, 7(4): 380-387. (SCI/EI) [9] Zhong S., Deng, W. Time varying congestion pricing for multi-class and multi-mode transportation system with asymmetric cost functions, Journal of Southeast University, 2011, (1): 77-82. (EI) (3) 英文会议论文及报告 [1] Zhong S., et al. Exploring the relationship between urban built environment and the vehicle emission effects of road pricing policies. Presented in the 19th COTA International Conference of Transportation Professionals (CICTP), Nanjing, China, 2019. (Invited Presentation) [2] Guo J., Zhong S., Yang F., Zhang J., Ran B. Spatial and temporal distribution model for travel origin-destination based on multi-source data. Presented in the 19th COTA International Conference of Transportation Professionals (CICTP), Nanjing, China, 2019. [3] Zhong S., et al. Exploring spatially varying relationships between urban built environment and road travel time. Presented in the 11th International Workshop on Computational Transportation Science (CTS), Tianjin, China, 2019. [4] Zhong S., et al. Spatial heterogeneity analysis of the effect of urban built environment on road travel time. Presented in the 13th International Association for China Planning (IACP) Conference, Chengdu, China, 2019. [5] Zhong S., et al. Examining spatially varying effects of urban built environment on road travel time. Presented in the 5th International Workshop on Integrated Land Use Transport Modeling (ILUTM), Haikou, China, 2019. (Invited Presentation) [6] Zhong S., et al. α-reliable mean-excess regret model for emergency location routing problem under demand uncertainty. Presented in the 6th International Conference on Transportation and Space-time Economics (TSTE 2018), Beijing, China, 2018. (peer-reviewed) [7] Zhong S., et al. Optimal road congestion pricing for both traffic efficiency and safety under demand uncertainty. Presented in the 4th Annual International Conference on Transportation, Athens, Greece, 2018. (Invited Presentation) [8] Zhong S., et al. Impact of the built environment on the vehicle emission effects of road pricing policies: A simulation case study. Presented in the Transport Summit DTU 2018, Copenhagen, Denmark, 2018. [9] Zhong S., et al. Optimal road congestion pricing for both traffic efficiency and safety under demand uncertainty. Presented in the Fourth China-Korea Joint Seminar on Sustainable Transportation Systems, Shanghai, China, 2017. (Invited Presentation) [10] Zhong S., et al. Impact of the built environment on the vehicle emission effects of road pricing policies: A simulation case study. Presented in the 9th International Workshop on Computational Transportation Science Annual Meeting of Transportation Management Research Association, Lanzhou, China, 2017. [11] Zhong S., et al. Exploring the combined effects of road pricing and built environment on vehicle emissions. Presented in the 2016 Academic Symposium on Urban Development and Sustainable Development, Hong Kong, China, 2016. (Invited Presentation) [12] Zhong S., et al. Combined effects of road pricing and rail transit on land use, transportation systems, and vehicle emissions. Presented in the Fifth International Conference on Transportation Engineering, Dalian, China, 2015. (EI) (peer-reviewed) [13] Zhong S., Zhang L., Ge Y. Optimal road pricing for both traffic efficiency and safety. Presented in the Transportation Research Board Annual Meeting, Washington, D.C., USA, 2014. (peer-reviewed) [14] Zhong S., Bushell M., Deng W. A reliability-based stochastic system optimum congestion pricing model under ATIS with endogenous market penetration and compliance rate. Presented in the Transportation Research Board Annual Meeting, Washington, D.C., USA, 2012. (peer-reviewed) [15] Zhong S., Deng W. Dynamic congestion pricing for multi-class and multi-modes transportation systems with asymmetric cost functions. Presented in the Transportation Research Board Annual Meeting, Washington, D.C., USA, 2009. (peer-reviewed) [16] Deng W., Zhong S. Dynamic congestion pricing for multi-class, multi-modes and multi-criteria transportation systems. Presented in the 10th International Conference on Applications of Advanced Technologies in Transportation, Athens, Greece, 2008. (peer-reviewed) (4) 中文期刊论文 [1] 宋彦, 钟绍鹏等. 城市空间结构对PM2.5的影响—美国夏洛特汽车排放评估项目的借鉴和启示. 城市规划, 2014, 38(5): 1-6. (CSSCI) [2] 钟绍鹏, 林锦山, 邓卫. ATIS和恶劣天气下的随机交通分配模型, 系统工程理论与实践, 2013, (5): 1327-1334. (EI/CSSCI) [3] 钟绍鹏, 邓卫, 包丹文. 考虑ATIS市场占有率及遵从率的随机系统最优拥挤收费模型, 系统工程理论与实践, 2013, (2): 456-462. (EI/CSSCI) [4] 钟绍鹏, 邓卫. 基于路径运行时间可靠度的随机系统最优拥挤收费模型, 系统工程理论与实践, 2010, (12): 2297-2308. (EI) [5] 钟绍鹏, 邓卫. 多用户类型随机系统最优拥挤收费模型, 交通运输工程学报, 2010, (6): 94-101. (EI) [6] 钟绍鹏, 邓卫. 动态多用户类型和多模式拥挤收费模型, 东南大学学报(自然科学版), 2008, 38(5): 866-872. (EI) [7] 杨龙海, 李丽兰, 钟绍鹏. 信号交叉口进口道上游公交停靠站设置研究, 哈尔滨工业大学学报, 2007, 39(2): 292-296. (EI) (5) 中文会议论文 [1] 钟绍鹏等. 基于多源数据考虑换乘的公共交通时刻表优化研究. 中国城市交通规划年会，上海, 2017. [2] 钟绍鹏等. 基于道路畅通可靠度的土地利用开发强度研究. 城乡治理与规划改革—中国城市规划年会, 海口, 2014. [3] 俞博, 钟绍鹏. 土地交通一体化的规划支持系统:设计及应用. 城乡治理与规划改革—中国城市规划年会, 海口, 2014.

申请发明专利12项，已授权6项，具体情况如下: [1] 钟绍鹏等. 一种量化分析城市建成环境对道路行程时间影响的方法[P]. 授权公布号：CN107016851B, 授权公布日: 2019.06.28. (发明授权) [2] 钟绍鹏等. 基于建成环境和低频浮动车数据的路段行程时间估计方法[P]. 授权公布号：CN106781468B，授权公告日: 2018.06.15. (发明授权) [3] 钟绍鹏等. 一种面向土地利用与交通尺度模拟方法[P]. 授权公告号：CN104933237B, 授权公告日:ᠦ୔