曾任MIT城市研究与规划系研究助理,MIT新加坡科研中心Future Urban Mobility Lab博士后。受邀任MIT公共交通实验室、新加坡科研中心访问学者;联合国亚太经济社会委员会咨询专家组成员。近5年发表学术论文30余篇,含ESI前0.1%热点论文、ESI前1%高被引论文各2篇,谷歌学术引用960次。曾获MIT葡萄牙项目奖学金,2017年《MIT科技评论》35岁以下科技创新青年(MIT Technology Review's Innovators Under 35)亚洲新加坡地区提名,2019年入选上海市浦江人才计划。获2020年度中国公路学会科学技术奖一等奖、二等奖,2021年华夏建设科学技术奖一等奖1项。
主要研究方向包括共享交通行为与管理、数据融合与数据挖掘、多智能体机器学习等。
教育经历:
里斯本大学 | MIT葡萄牙项目 | 交通运输系统 | 博士 | 2015.12 |
瑞典皇家工学院 | 建筑与建成环境学院 | 交通运输系统 | 理学硕士 | 2011.06 |
浙江大学 | 电气工程学院 | 系统科学与工程 | 工学学士 | 2009.06 |
工作经历:
2021.01至今 | 同济大学 | 交通运输工程学院 | 副教授 |
2018.03至2020.12 | 同济大学 | 交通运输工程学院 | 助理教授 |
2016.03至2018.02 | MIT新加坡科研中心 | 未来城市交通实验室 | 博士后 |
2014.02至2015.01 | 麻省理工学院 | 城市研究与规划系 | 研究助理 |
科研项目:
- 国家自然科学基金青年科学基金项目,无人驾驶网约车自组织实时调度方法研究,2020/01-2022/12,20万元,主持
- 上海市自然科学基金面上项目,“互联网+”环境下出租车自主揽客行为研究,2019/07-2022/06,20万元,主持
- 新加坡国家发展部L2NIC,新加坡无人驾驶需求响应系统对城市交通的影响,2017/01-2019/01,70万新加坡元,参与
- 新加坡国家研究基金会,流动性管理,2016/03-2021/02,500万新加坡元,主要参与
- 麻省理工学院李德义实验室研究种子基金,超级区域化和城市重构:中国高速铁路系统的空间效应和更广泛的经济影响,2015/09-2017/08,15万美元,主要参与
- 葡萄牙国家研究基金,探索葡萄牙高速铁路与经济发展的战略解决方案,2011/10-2014/03,19万欧元,主要参与
期刊论文:
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Mo, B., Feng, K., Shen, Y.*, Tam, C., Li, D., Yin, Y., Zhao, J. (2021) Modeling epidemic spreading through public transit using time-varying encounter network. Transportation Research Part C. Vol. 122, 102893.
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Zhai, Z., Yang, Y., Shen, Y.*, Ji, Y., Du, Y. (2020) Assessing the impacts of autonomous bus-on-demand based on agent-based simulation: A case study of Fuyang, Zhejiang, China. Journal of Advanced Transportation. Vol. 2020, 7981791.
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Ji, Y., Zheng, Y., Zhao, J., Shen, Y.*, Du, Y. (2020) A multimodal passenger-and-package sharing network for urban logistics. Journal of Advanced Transportation. Vol. 2020, 6039032.
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Ji, Y., Tang, Y., Shen, Y.*, Du, Y., Wang W. (2020) An integrated approach for tram prioritization in signalized corridors. IEEE Transactions on Intelligent Transportation Systems Vol. 21(6), Pp. 2386-2395.
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Shen, Y., Zhang, H., Zhao, J.* (2018) Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore. Transportation Research Part A. Vol. 113, Pp. 125-136. (ESI Top 1%, ESI Research Front)
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Mo, B., Shen, Y.* & Zhao, J. (2018) Impact of built environment on first- and last-mile travel mode choice. Transportation Research Record. Vol. 2672(6), Pp. 40-51.
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Shen, Y., Zhang, X.* & Zhao, J. (2018) Understanding the usage of dockless bike sharing in Singapore. International Journal of Sustainable Transportation. Vol. 12(9), 686-700. (ESI Top 0.1%, ESI Research Front)
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Shen, Y.*, Zhao, J., de Abreu e Silva, J., Martínez, L.M. (2017) From accessibility improvement to land development: A comparative study on the impacts of Madrid-Seville high-speed rail. Transportation Letters. Vol. 9(4). Pp. 187-201.
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Shen, Y., Zhao, J.* (2017) Capacity constrained accessibility of high-speed rail. Transportation. Vol. 44(2), Pp. 395–422.
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Shen, Y.*, Chen, G., Martínez, L.M., de Abreu e Silva, J. (2016) Simulated impacts of high-speed rail station location on land development: Case study of the Lisbon Metropolitan Area, Portugal. Transportation Research Record. Vol 2564, Pp. 127–137.
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Shen, Y.*, Chen, G., Martínez, L.M., de Abreu e Silva, J. (2015) Bi-level cellular agent-based model: Simulation of potential impacts of High-Speed Rail on land cover change in the Lisbon Metropolitan Area, Portugal. Journal of Transport and Land Use. Vol. 8(3), Pp. 151-180.
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Shen, Y.*, de Abreu e Silva, J., Martínez, L.M. (2014) Assessing land cover change in large urban areas resulting from High-speed Rail: A case study of Madrid Atocha railway station from 1990 to 2006. Journal of Transport Geography. Vol. 41, Pp. 184-196.
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Shen, Y.*, Martínez, L.M., de Abreu e Silva, J. (2014) Cellular agent-based approach incorporating spatial discrete choice methods: Simulation of future land-use impacts of High-speed Rail on Aveiro, Portugal. Transportation Research Record: Journal of the Transportation Research Board. Vol. 2430, Pp. 105-115.
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Shen, Y.*, Martínez, L.M., de Abreu e Silva, J. (2013) Impacts of short-term land use by High-Speed Rail on large metropolises: Case study of Madrid, Spain. Transportation Research Record: Journal of the Transportation Research Board. Vol. 2374, Pp. 35-43.