杨鸿泰，博士（后），副教授，硕士生导师。本科毕业于山东大学，硕士与博士毕业于美国田纳西大学（University of Tennessee），香港大学博士后。致力于交通大数据、智慧城市、出行信息隐私保护、城市空中交通等方向研究。主持国家自然科学基金、中国博士后基金、四川省国际科技创新合作项目、成都市科技局项目、CCF-腾讯犀牛鸟基金、国家重点实验室开放课题与横向项目多项。担任中国地理学会行为地理专业委员会委员，SCI期刊Transportation Research Record与Journal of Advanced Transportation学术编辑，安全科学领域T1级期刊《中国安全科学学报》青年编委。入选西南交通大学“青苗计划”学者，获评优秀研究生论文指导老师，四川省海外高层次人才。在IEEE Transactions on Intelligent Transportation Systems，Transportation Research Part A/D/F，Journal of Transport Geography，Applied Geography等交通与地理领域国际主流期刊发表论文数十篇，其中2篇入选ESI热点论文，6篇入选ESI高被引论文，谷歌学术论文引用量1900余次，西南交通大学ESI社会科学学者贡献度全校排名第五。获中国智能交通协会科学技术奖、2023年“数字交通与智慧出行学术论坛”优秀论文一等奖、2022年第12届空间综合人文学与社会科学论坛优秀论文一等奖、2021年ICTIS会议最佳论文奖。获批多项国家发明专利。

教学方面获西南交通大学第七届青年教师讲课比赛一等奖，主持中国交通教育研究会交通教育科学研究课题，以及本科生与研究生教改项目多项，指导学生参加第十一届中国大学生服务外包创新创业大赛荣获西部赛区A类一等奖，指导研究生多次获得国家奖学金与优秀毕业论文。

欢迎交通运输方向、计算机方向、数学方向和其他理工学科方向学生报考！感兴趣的同学可以提前与我邮件联系。

团队特点：

（1）悉心指导：悉心教导交通工程、统计学、运筹学等方面知识，指导ArcGIS、R、python、SPSS、MATLAB、TransCAD、Synchro等一系列软件与编程语言的使用，培养学生突出的专业能力。

（2）平等沟通：相互尊重，平等交流。

（3）成熟的研究想法：提供成熟的研究想法与思路，避免科研无从下手的问题，团队高水平论文多。

（4）支持实习：满足毕业要求的前提下，推荐去交通行业多个单位实习，帮助学生积累交通行业相关技能与经验。

（5）鼓励读博：与国内外多所著名高校建立深入合作关系，推荐毕业生读博深造。

（6）推荐工作：利用团队资源，帮学生找到理想的工作。

学术论文（一作或通讯作者）

JCR一区

1. Yang, H., Luo, P., Li, C., Zhai, G., & Yeh, A. G. (2023). Nonlinear effects of fare discounts and built environment on ridesplitting adoption rates. Transportation Research Part A: Policy and Practice, 169, 103577. https://doi.org/10.1016/j.tra.2022.103577. (SCI, SSCI, Q1)

2. Yang, H., Zhai, G., Yang, L., & Xie, K. (2022). How does the suspension of ride-sourcing affect the transportation system and environment? Transportation Research Part D: Transport and Environment, 102, 103131. https://doi.org/10.1016/j.trd.2021.103131. (SCI, SSCI, Q1)

3. Yang, H., Zheng, R., Li, X., Huo, J., Yang, L., & Zhu, T. (2022). Nonlinear and threshold effects of the built environment on e-scooter sharing ridership. Journal of Transport Geography, 104, 103453. https://doi.org/10.1016/j.jtrangeo.2022.103453. (SSCI, Q1)

4. Yang, H., Huo, J., Pan, R., Xie, K., Zhang, W., & Luo, X. (2022). Exploring built environment factors that influence the market share of ridesourcing service. Applied Geography, 142, 102699. https://doi.org/10.1016/j.apgeog.2022.102699. (SSCI, Q1)

5. Yang, H., Zhang, Z., Fan, W., & Xiao, F. (2021). Optimal design for demand responsive connector service considering elastic demand. IEEE Transactions on Intelligent Transportation Systems, 22(4), 2476–2486. https://doi.org/10.1109/TITS.2021.3054678. (SCI, Q1)

6. Yang, H., Huo, J., Bao, Y., Li, X., Yang, L., & Cherry, C. R. (2021). Impact of e-scooter sharing on bike sharing in Chicago. Transportation Research Part A: Policy and Practice, 154, 23–36. https://doi.org/10.1016/j.tra.2021.09.012. (SCI, SSCI, Q1)

7. Yang, H., Liang, Y., & Yang, L. (2021). Equitable? Exploring ridesourcing waiting time and its determinants. Transportation Research Part D: Transport and Environment, 93, 102774. https://doi.org/10.1016/j.trd.2021.102774. (SCI, SSCI, Q1)

8. Huo, J., Yang, H.*, Li, C., Zheng, R., Yang, L., & Wen, Y. (2021). Influence of the built environment on e-scooter sharing ridership: A tale of five cities. Journal of Transport Geography, 93, 103084. https://doi.org/10.1016/j.jtrangeo.2021.103084. (SSCI, Q1)

9. Yang, H., Zhang, Y., Zhong, L., Zhang, X., & Ling, Z. (2020). Exploring spatial variation of bike sharing trip production and attraction: A study based on Chicago’s Divvy system. Applied Geography, 115, 102130. https://doi.org/10.1016/j.apgeog.2019.102130. (SSCI, Q1)

10. Yang, H., Lu, X., Cherry, C., Liu, X., & Li, Y. (2017). Spatial variations in active mode trip volume at intersections: a local analysis utilizing geographically weighted regression. Journal of Transport Geography, 64, 184-194. https://doi.org/10.1016/j.jtrangeo.2017.09.007. (SSCI, Q1)

JCR其他分区

11. Yang, H., Ping, A., Wei, H., & Zhai, G. (2023). Unique in the metro system: The likelihood to re-identify a metro user with limited trajectory points. Physica A: Statistical Mechanics and its Applications, 129176. https://doi.org/10.1016/j.physa.2023.129176. (SCI, Q2)

12. Yang, H., Zhai, G., Liu, X., Yang, L., Liu, Y., & Yuan, Q. (2022). Determinants of city-level private car ownership: Effect of vehicle regulation policies and the relative price. Transport Policy, 115, 40–48. https://doi.org/10.1016/j.tranpol.2021.10.025. (SSCI, Q2)

13. Yang, H., Bao, Y., Huo, J., Hu, S., Yang, L., & Sun, L. (2022). Impact of road features on shared e-scooter trip volume: A study based on multiple membership multilevel model. Travel Behaviour and Society, 28, 204-213. https://doi.org/10.1016/j.tbs.2022.04.005. (SSCI, Q2)

14. Liu, X., Yang, H.*, & Xiao, F. (2022). Equilibrium in taxi and ride-sourcing service considering the use of e-hailing application. Transportmetrica A: Transport Science, 18(3), 659-675. https://doi.org/10.1080/23249935.2021.1890273. (SCI, SSCI, Q3)

15. Yang, H., Guo, Z., Zhai, G., Yang, L., & Huo, J. (2022). Exploring the spatially heterogeneous effects of the built environment on bike-sharing usage during the COVID-19 pandemic. Journal of Advanced Transportation, 2022. https://doi.org/10.1155/2022/7772401. (SCI, Q3)

16. Yang, H., Lu, X., Zhou, X., Zheng, R., Liu, Y., & Tao, S. (2022). Expected length of the shortest path of the traveling salesman problem in 3D space. Journal of Advanced Transportation, 2022. https://doi.org/10.1155/2022/4124950. (SCI, Q3)

17. Yang, H., Zhao, Z., Jiang, C., Wen, Y., & Muneeb Abid, M. (2022). Spatially varying relation between built environment and station-level subway passenger-distance. Journal of Advanced Transportation, 2022. https://doi.org/10.1155/2022/7542560. (SCI, Q3)

18. Yang, H., Li, X., Li, C., Huo, J., & Liu, Y. (2021). How do different treatments of catchment area affect the station level demand modeling of urban rail transit? Journal of Advanced Transportation, 2021, 2763304. https://doi.org/10.1155/2021/2763304. (SCI, Q3)

19. Yang, H., Li, C., Li, X., Huo, J., Wen, Y., Sexton, E. G. P., & Liu, Y. (2021). Effects of coverage area treatment, spatial analysis unit, and regression model on the results of station-level demand modeling of urban rail transit. Journal of Advanced Transportation, 2021, 7345807. https://doi.org/10.1155/2021/7345807. (SCI, Q3)

20. Yang, H., Liang, X., Zhang, Z., Liu, Y., & Abid, M. M. (2020). Statistical modeling of quartiles, standard deviation, and buffer time index of optimal tour in traveling salesman problem and implications for travel time reliability. Transportation Research Record, 2674(12), 339-347. https://doi.org/10.1177/0361198120954867. (SCI, Q4)

21. Pan, R., Yang, H.*, Xie, K., & Wen, Y. (2020). Exploring the equity of traditional and ride-hailing taxi services during peak hours. Transportation Research Record, 2674(9), 266-278. https://doi.org/10.1177/0361198120928338. (SCI, Q4)

22. Li, J., Liu, Y., Yang, H.*, & Chen, B. (2020). Bus priority signal control considering delays of passengers and pedestrians of adjacent intersections. Journal of Advanced Transportation, 2020. https://doi.org/10.1155/2020/3935795. (SCI, Q3)

23. Liu, Y., Yi, H., Li, J., Chen, B., & Yang, H.* (2020). Design and control method of switchable on-or off-ramp for urban highway. Journal of Advanced Transportation, 2020. https://doi.org/10.1155/2020/7375416. (SCI, Q3)

24. Zhai, G., Yang, H.*, & Liu, J. (2020). Is the front passenger seat always the “death seat”? An application of a hierarchical ordered probit model for occupant injury severity. International Journal of Injury Control and Safety Promotion, 27(4), 438-446. https://doi.org/10.1080/17457300.2020.1810072. (SSCI, Q4)

25. Yang, H., Xu, T., Chen, D., Yang, H., & Pu, L. (2020). Direct modeling of subway ridership at the station level: a study based on mixed geographically weighted regression. Canadian Journal of Civil Engineering, 47(5), 534-545. https://doi.org/10.1139/cjce-2018-0727. (SCI, Q4)

26. Yang, H., Cherry, C. R., Su, F., Ling, Z., Pannell, Z., Li, Y., & Fu, Z. (2019). Underreporting, crash severity and fault assignment of minor crashes in China–a study based on self-reported surveys. International Journal of Injury Control and Safety Promotion, 26(1), 30-36. https://doi.org/10.1080/17457300.2018.1476382. (SSCI, Q3)

27. Yang, H., Liu, X., Su, F., Cherry, C., Liu, Y., & Li, Y. (2018). Predicting e-bike users’ intention to run the red light: an application and extension of the theory of planned behavior. Transportation Research Part F: Traffic Psychology and Behaviour, 58, 282-291. https://doi.org/10.1016/j.trf.2018.05.027. (SSCI, Q2)

28. 杨鸿泰, 苏帆, 刘小寒, 濮莉, 李延来, & 刘昱岗. (2018). 摩托车驾驶员闯红灯的行为意向研究. 中国安全科学学报, 28(2), 21-27. https://doi.org/10.16265/j.cnki.issn1003-3033.2018.02.004.

29. Yang, H., Yang, J., Han, L. D., Liu, X., Pu, L., Chin, S. M., & Hwang, H. L. (2018). A Kriging based spatiotemporal approach for traffic volume data imputation. PLOS ONE, 13(4), e0195957. https://doi.org/10.1371/journal.pone.0195957. (SCI, Q2)

30. 刘昱岗, 李佳励, 李俊博, 杨鸿泰*, & 李明. (2017). 考虑行人过街的地铁站邻近交叉口公交优先信号控制方法. 中国公路学报, 30(7), 110-118. https://doi.org/10.19721/j.cnki.1001-7372.2017.07.014

31. Yang, H., & Cherry, C. R. (2017). Use characteristics and demographics of rural transit riders: a case study in Tennessee. Transportation Planning and Technology, 40(2), 213-227. https://doi.org/10.1080/03081060.2016.1266168. (SCI, Q4)

32. Yang, H., Cherry, C. R., Zaretzki, R., Ryerson, M. S., Liu, X., & Fu, Z. (2016). A GIS-based method to identify cost-effective routes for rural deviated fixed route transit. Journal of Advanced Transportation, 50(8), 1770-1784. https://doi.org/10.1002/atr.1428. (SCI, Q2)

33. Yang, H., & Cherry, C. R. (2012). Statewide rural-urban bus travel demand and network evaluation: An application in Tennessee. Journal of Public Transportation, 15(3), 6. https://doi.org/10.5038/2375-0901.15.3.6. (SSCI, Q4)

国家发明专利：

1.  一种城际需求响应式公交服务的建模优化方法; 杨鸿泰, 郑镕, 范文博, 韩科; 2023, 202310433019.4

2.  一种高峰时段传统出租车和网约车服务的公平评估方法; 杨鸿泰, 潘仁彬; 2020-1-16, 202010046273.5

3.  考虑常规公交线网的地铁中断区间乘客接驳模型及方法; 刘昱岗, 郑帅, 李佳励, 唐李莹, 易洪波, 龚洋, 杨鸿泰, 张祖涛; 2020-7-4, 202010637239.5

4.  交通信息控制方法、系统、存储介质、计算机设备、终端; 刘昱岗, 唐李莹, 郑帅, 梁博, 陈斌, 杨鸿泰, 张祖涛, 代聪, 徐宜河, 刘刚; 2020-6-10, 202010525253.6

5.  一种基于重复接驳行为的跨交通方式用户匹配方法; 杨鸿泰, 刘政, 孟瑶; 2021-9-14, 202111072078.0（审核中）

6.  一种基于建成环境与出行特征的网约车拼车率预测方法; 杨鸿泰, 罗鹏, 黎朝敬, 翟国聪, 韩科, 杨林川, 刘昱岗; 2023, 202310086926.6（审核中）

7.  一种基于栅格划分的共享单车电子围栏位置优化方法; 杨鸿泰, 岳进, 刘涛, 郑镕, 韩科, 唐优华; 2023, 202310194172.6（审核中）

学术获奖：

1. Hongtai Yang, Zheng Liu, Daniel Kondor, Ke Han, Zhengbing He; Identifying users transferring between transportation modes: A stable matching approach，2023年第二届数字交通与智慧出行学术论坛优秀论文一等奖

2. Hongtai Yang, Peng Luo, Chaojing Li, Guocong Zhai, Anthony G.O. Yeh; Nonlinear effects of fare discounts and built environment on ridesplitting adoption rates，2022年第12届空间综合人文学与社会科学论坛优秀论文一等奖

3. Hongtai Yang, Xiang Li, Xiaotian Qin, Yanfeng Jiang, Fangfang Zheng; User matching algorithm based on repeated transfer behavior, The 6th International Conference on Transportation Information and Safety (2021), The best paper award （最佳论文奖）

4. 蒋阳升, 刘涛, 范文博, 杨鸿泰, 谢军, 胡路, 罗孝羚; 融合新兴交通技术的多模式公共交通规划设计与运营协同优化方法, 中国智能交通协会, 科技进步三等奖, 其他, 2019

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