一、基本情况
教育经历：
2008.09至2012.06同济大学交通运输工程学院本科生
2012.09至2018.06同济大学交通运输工程学院博士研究生（推免直博）
2015.09至2016.09美国中佛罗里达大学土木与环境学院联合培养博士
从业经历：
2018.08至2023.11北京工业大学城市建设学部城市交通学院讲师
2023.12至今北京工业大学城市建设学部城市交通学院副教授
个人简况：
主持了国家自然科学基金青年基金项目、北京市教委一般科技项目、北京市博士后基金、朝阳区博士后基金。具体研究方向包括：①基于微观交通流数据、道路几何设计数据，利用贝叶斯模型开展城市道路、高速公路事故致因分析；②基于多元数据融合大道路交通安全评估方法研究；③基于安全可提高空间的事故多发道路判别研究；④基于驾驶模拟平台的道路安全设施评估；⑤基于驾驶模拟平台的驾驶人对车路协同系统适应性评估。基于以上项目，近五年在Accident Analysis & Prevention、Transport Policy、Journal of Transportation Engineering、中国公路学报、Transportation Research Board Annual Meeting等国内外核心期刊及顶级学术会议发表论文多篇，专利授权1项。
二、研究方向
基于多元数据挖掘的道路交通安全分析
基于人因理论的驾驶行为分析
三、科研项目
[1]事故与导航风险驾驶行为数据融合的多维度路网结构特征交通安全影响研究，国家自然科学基金委员会，青年科学基金项目，52102402，2022.01-2024.12，主持
[2]大桥等风险路段等级风险预警防控技术，国家重点研发计划，2020.05-2022.11，参与
[3]道路交通安全建模国际对比研究，国家重点研发计划政府间国际科技创新合作重点专项，2019.09-2021.12，参与
[4]基于交通流数据的城市快速路事故机理分析及风险预测方法研究，北京市教委项目，2020.01-2022.12，主持
[5]基于认知特性的车路协同技术适用性评估方法及案例研究，北京市博士后基金，2020.01-2022.12，主持
[6]基于交通感知数据的城市快速路事故风险预测建模方法研究，朝阳区博士后基金，2019.11-2020.11，主持
四、获奖情况
[1]超多车道高速公路密集互通段精细化协同管控关键技术研究与示范，中国公路学会，科学技术二等奖，排名第十，2024.01
[2]北京新机场陆侧交通设施设计优化及示范应用，华夏建设科学技术奖励，科学技术二等奖，排名第十一，2023.01
[3]高速公路服务区交通安全设施设置方法研究，北京公路学会，科学技术二等奖，排名第二，2022.12
[4]青年教师教学基本功比赛，北京工业大学城市建设学部，三等奖，2022.11
[5]课程思政教学团队大赛，北京工业大学，一等奖，排名第四，2022.12
五、代表性研究成果
期刊论文
[1]Jia Li*, Chengqian Li, Xiaohua Zhao, Xuesong Wang. Do road network patterns and points of interest influence bicycle safety? Evidence from dockless bike sharing in China and policy implications for traffic safety planning[J]. Transport Policy, 2024, 149 (4):21-35.
[2]Jia Li*, Xuesong Wang. Hotspot identification on urban arterials at the meso level[J]. Accident Analysis & Prevention, 2022, 169:106632-.
[3]Xiaohua Zhao, Yibing Liu,Jia Li*, Yang Bian, Jianming Ma. Effectiveness of Warning Piles on Driving Behavior on the Curve of Low-Grade Highway. Effectiveness of Warning Piles on Driving Behavior on the Curve of Low-Grade Highway[J]. Transportation Research Record, Journal of the Transportation Research Board, 2021, 2675(1):036119812199635.
[4]Xiaohua Zhao, Wenhui Dong,Jia Li*, Qiqi Liu, Yunjie Ju. How does the mural decoration of the long tunnel sidewall affect the driver's speed control ability?[J]. Tunnelling and Undergound Space Technology, 2022, 12, 130:104731.
[5]Jia Li,Xuesong Wang*. Safety Analysis of Urban Arterials at the Meso Level. Accident Analysis and Prevention, 2017, 108C: 100-111.
[6]Jia Li, Xuesong Wang*, Rongjie Yu, Paul J. Tremont.Relationship between Level of Service and Traffic Safety at Signalized Intersections: Grouped Random Parameter Method. Journal of Transportation Engineering, Part A: Systems. 2018, 144(6):04018022.
[7]李佳*,王雪松.密集路网中城市主干路中观安全分析模型[J].重庆交通大学学报:自然科学版, 2021, 40(8):8.
[8]李振龙,邢冠仰,李佳*,赵晓华张静思.基于扩展TAM的车路协同系统驾驶人接受度研究[J].中国公路学报, 2021, 34(7):13.
[9]李佳*,王雪松,周清雅.信控交叉口进口道服务水平与安全的关系研究[J].交通信息与安全, 2020.
会议论文
[1]Jia Li*, Chengqian Li, Xiaohua Zhao. Improving crash risk prediction accuracy for freeway segment by considering heterogeneous effects of road segment type, traffic operation status, and crash units. No.24-05931. Transportation Research Board, National Research Council, Washington, D.C., 2024.
[2]Jia Li*, Guanjie Li. Fusing crash data and risking driving behaviors for freeway safety assessment: Developing dynamic structural equation model to examine the relationships among traffic operation characteristics, risky driving behaviors, and traffic crashes. No. 24-05825. Transportation Research Board, National Research Council, Washington, D.C., 2024.
[3]Jia Li*, Chengqian Li, Xiaohua Zhao. A comparative study on heterogeneous effects of different contributing factors on crash risk prediction for freeway segment. No.23-02868. Transportation Research Board, National Research Council, Washington, D.C., 2023.
[4]Jia Li, Jingfeng Guo, Xiaohua Zhao*, Wenhui Dong, Haijian Li, Jianming Ma. Evaluating the Effectiveness of Traffic Control Devices in Freeway Service Areas Based on Way-finding Theory. No. 22-04153. Transportation Research Board, National Research Council, Washington, D.C., 2022.
[5]Jia Li*, Xiaohua Zhao, Yufei Chen.Safety Effects of Fog Warning Technics in CVIS on Driving Behavior based on A Driving Simulator. No.20-1342 Transportation Research Board, National Research Council, Washington, D.C., 2020.
[6]Jia Li*, Xuesong Wang. Hotspot Identification for Urban Arterials at the Meso Level. No.19-1591. Transportation Research Board, National Research Council, Washington, D.C., 2019.
[7]Jia Li*, Xuesong Wang, Mohamed Abdel-Aty, Rongjie Yu. Exploring the Transferability of Cross-country Safety Performance Functions for Urban Arterials with Pooled Data. No.18-4325. Transportation Research Board, National Research Council, Washington, D.C., 2018.
