研究成果：
[1]上海市自然科学基金基于多源数据的城市公共交通多层复杂网络建模及脆弱性研究2022-2025主持
[2]中国博士后科学基金城市轨道交通网络突发事件风险评估及控制策略2018-2020主持
[3]江苏省交通运输与安全保障重点建设实验室开放课题城市道路危险品运输风险评估及安全保障技术研究2019-2021主持
[4]国家自然科学基金基于人工智能建模的危险驾驶行为识别和风险评估2019-2022主要参与人
[5]十三五国家重点研发计划道路交通安全主动防控技术及系统集成2017-2021主要参与人
获奖情况：
2018年度博士后创新人才支持计划（全国400名，交通运输工程学科3名）
2018年度上海市“超级博士后”计划
交通运输研究(上海)论坛年会“优秀博士论文奖”
发表刊物：
部分发表刊物如下（第一作者或通讯作者）：
[1]Xing, Y., Zhou, H., Han, X., Zhang, M., & Lu, J. (2022). What influences vulnerable road users’ perceptions of autonomous vehicles? A comparative analysis of the 2017 and 2019 Pittsburgh surveys. Technological Forecasting and Social Change, 176, 121454. (SSCI, IF: 10.884)
[2] Xue, Q.,Xing, Y.*, & Lu, J. (2022).An integrated lane change prediction model incorporating traffic context based on trajectory data. Transportation Research Part C: Emerging Technologies, 141, 103738. (SCI, IF: 9.002)
[3] Ding, S., Zhang, M.,Xing, Y.*, & Lu, J. (2022). Revealing Urban Community Structures by Fusing Multisource Transportation Data. Journal of Transportation Engineering, Part A: Systems, 148(9), 04022060.
[4] Zhang, S., Chen, S.,Xing, Y.*, Zhang, H. M., Lu, J., & Long, S. (2022). Macro-level hazardous material transportation safety analysis in China using a Bayesian negative binomial model combined with conditional autoregression prior. Journal of Transportation Safety & Security, 14(6), 1044-1062.
[5] Chen, S., Chen, Y., &Xing, Y.* (2022). Comparison and analysis of crash frequency and rate in cross-river tunnels using random-parameter models. Journal of Transportation Safety & Security, 14(2), 280-304.
[6] Li, H.,Xing, Y.*, Zhang, W., & Zhang, X. (2021). Investigating the Impact of Weather Conditions and Land Use on Dockless Bike-Share Trips in Shanghai, China. Journal of Urban Planning and Development, 147(4), 05021031.
[7]Xing, Y., Wang, K., & Lu, J. J. (2020). Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China. Journal of transport geography, 87, 102787. (SSCI, IF:5.899)
[8] Chen, S., Zhang, S.,Xing, Y.*, Lu, J., Peng, Y., & Zhang, H. M. (2020). The impact of truck proportion on traffic safety using surrogate safety measures in China. Journal of advanced transportation, 2020.
[9]Xing, Y., Chen, S., Zhu, S., & Lu, J. (2020). Analysis factors that influence escalator-related injuries in metro stations based on bayesian networks: A case study in China. International journal of environmental research and public health, 17(2), 481.
[10] Li, H., Zhong, X., Zhang, W., Li, S., &Xing, Y.*(2020). An algorithm for e-bike equivalents at signalized intersections based on traffic conflict events number. Transportation research part A: policy and practice, 134, 78-95. (SCI, IF:6.615)
[11]Xing, Y., Dissanayake, S., Lu, J., Long, S., & Lou, Y. (2019). An analysis of escalator-related injuries in metro stations in China, 2013–2015. Accident Analysis & Prevention, 122, 332-341. (SSCI, IF:6.379)
[12]Xing, Y., Lu, J., & Chen, S. (2019). Evaluating the effectiveness of platform screen doors for preventing metro suicides in China. Journal of affective disorders, 253, 63-68. (SCI, IF:6.533)
[13] Zhang, S.,Xing, Y.*, Lu, J., & Zhang, H. M. (2019). Exploring the influence of truck proportion on freeway traffic safety using adaptive network-based fuzzy inference system. Journal of advanced transportation, 2019.