杨海简介_研究领域_学术成果_香港科技大学土木工程与环境系教授-教师点评

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杨海

教师照片
教师名称	杨海
工作单位1（学校）	香港科技大学
工作单位2（院系）	土木工程与环境系
杨海主要研究领域	交通运输规划
职称	教授
职务	无职务
杨海简介	杨海博士现任香港科技大学土木环境工程系讲座教授 (Chair Professor)、博士生导师。杨海教授1985年毕业于武汉水利电力大学(现武汉大学)水利建筑工程系，1985年以优异成绩考取国家教育部公派出国留学生。1986年在大连外国语大学经过短暂日语培训之后留学日本，并于1989及1992年获得日本京都大学交通运输工程系硕士和博士学位，曾经在美国加州大学和加拿大滑铁卢大学从事博士后研究工作。1993年应聘来香港科技大学任教、工作至今。杨海教授是国际交通运输领域的知名学者，在交通运输系统分析、建模与优化前沿工作二十余年、成果显著。有210多篇论文被SCI/SSCI检索，其中大多数论文发表在国际顶级期刊Transportation Research, Transportation Science及Operations Research上。其论文被引用6,000 (SCI)及13,000（google scholar）余次，SCI H指数值43，各项数据均在国际交通运输学界名列前茅。所获荣誉包括：1991年日本土木工程师协会杰出论文奖、杰出海外青年研究员奖（2004年中国国家自然科学基金委员会授予）、国家自然科学奖（2011年中华人民共和国国务院授予）、香港科技大学工程学院研究杰出奖（2012年）。杨海教授曾是多个国际交通会议组委会及美国交通研究局多个专业委员会的成员、曾兼任香港交通运输研究学会副会长、中国系统工程学会理事等、现任北京航空航天大学、北京交通大学及同济大学等客座教授，清华大学讲席教授。2012年被国家教育部聘为北京航空航天大学“长江学者”讲座教授。国际交通及运输理论大会(ISTTT)国际顾问委员会永久委员。杨海教授已培养出一批优秀硕士生和博士生、可谓桃李满天下。其中绝大多数博士生目前均在国内外知名大学（新加坡国立大学、美国南德克萨斯大学、加拿大温莎大学、英国利兹大学及格拉斯哥大学、以及国内的上海同济大学、南京大学、华中科技大学、上海交通大学及西南财经大学等）担任讲师、副教授或教授、从事各种教学和研究工作。目前，杨海教授担任多份国际学术期刊的编委。他现在是国际交通运输领域最具权威和认可度最高的学术期刊—Transportation Research Part B:Methodological—的总编辑（是该期刊自1967年创刊以来的第三任主编）。
杨海代表性学术成果	(261) Xu, M., Yang, H., Wang, S., 2020. Mitigate the range anxiety: siting battery charging stations for electric vehicle drivers. Transportation Research Part C: Emerging Technologies (in press). (260) Yang, H., Shao, C., Wang, H., Ye, J., 2020. Integrated reward scheme and surge pricing in a ride-sourcing market. Transportation Research Part B: Methodological (in press). (259) Yao, M., Wang, D., Yang, H., 2020. Modeling household housing and car ownership decisions: a group decision based time allocation Journal: Transportmetrica A: Transport Science, Vol.16, No.3, 409–438. (258) He, J., Yang, H., Tang, T., Huang, H.J., 2020. Optimal deployment of wireless charging lanes considering their adverse effect on road capacity. Transportation Research Part C: Emerging Technologies, Vol.111, 171-184. (257) Zhu, Z., Qin, X., Ke, J., Zheng, Z., Yang, H., 2020. Analysis of multi-modal commute behavior with feeding and competing ridesplitting services. Transportation Research Part A: Policy and Practice, Vol.132, 713-727. (256) Yang, H., Qin, X., Ke, J., Ye, J., 2020. Optimizing matching time interval and matching radius in on-demand ride-sourcing markets. Transportation Research Part B: Methodological. Vol.131, 84-105. (255) Zhu, Z., Li, X., Liu, W., Yang, H., 2019. Day-to-day evolution of departure time choice in stochastic capacity bottleneck models with bounded rationality and various information perceptions. Transportation Research Part E: Logistics and Transportation Review, Vol.131, 168-192. (254) Tang, Y., Yang, H., Wang, B., Huan, J., Bai, Y., 2019. A Pareto-improving and revenue-neutral scheme to manage mass transit congestion with heterogeneous commuters. Transportation Research Part C: Emerging Technologies (in press). (253) Zhang, J., Yang, H., Lindsey, R., Li, X., 2019. Modeling and managing congested transit service with heterogeneous users under monopoly. Transportation Research Part B: Methodological (in press). (252) Wang, X., Liu, W., Yang, H., Wang, D., Ye, J., 2019. Customer behavioral modelling of order cancellation in coupled ride-sourcing and taxi markets. Transportation Research Part B: Methodological (in press). (251) Zhu, Z., Zhu, S., Zheng, Z., Yang, H., 2019. A generalized Bayesian traffic model. Transportation Research Part C: Emerging Technologies, Vol.108, 182-206. (250) Zhou, Y., Wang, Y., Yang, H., Yan, X., 2019. Last train scheduling for maximizing passenger destination reachability in urban rail transit networks. Transportation Research Part B Methodological, Vol.129, 79–95. (249) Wang, H., Yang, H., 2019. E-hailing ride-sourcing systems: a framework and review. Transportation Research Part B: Methodological, Vol.129, 122-155. (248) Li, Z.C., Wu, Q.Y., Yang, H., 2019. A theory of auto ownership rationing. Transportation Research Part B: Methodological, Vol.127, 125–146. (247) Xiao, F., Shen, M., Xu, Z., Li, R., Yang, H., Yin, Y., 2019. Day-to-day flow dynamics for stochastic user equilibrium and a general Lyapunov function. Transportation Science, Vol.53, No.3, 683–694. (246) Guo, R.Y., Huang, H.J., Yang, H., 2019. Tradable credit scheme for control of evolutionary traffic flows to system optimum: model and its convergence. Networks and Spatial Economics, Vol.19, No.3, 833–868. (245) Zhou, Y., Wang, J.W., Yang, H., 2019. Resilience of transportation systems: concepts and comprehensive review. IEEE Transactions on Intelligent Transportation Systems. Vol.20, No.12, 4262-4276. (244) Ke, J., Yang, H., Zheng, H., Chen, X., Jia, Y., Gong, P., Ye, J., 2019. Hexagon-based convolutional neural network for supply-demand forecasting of ride-sourcing services. IEEE Transactions on Intelligent Transport Systems, Vol.20, No.11, 4160-4173. (243) Chen, X., Ke, J., Zhang, S., Yang, H., 2019. PCA based missing information imputation for real-time crash likelihood prediction under imbalanced data. Transportmetrica A: Transport Science, Vol.15, No.2, 872–895. (242) Ke, J., Cen, X., Yang, H., Chen, X., Ye, J., 2019. Modelling drivers’ working and recharging schedules in a ride-sourcing market with electric vehicles and gasoline vehicles. Transportation Research Part E: Logistics and Transportation Review, Vol.125, 160-180. (241) Wang, X.L., Yang, H., Zhu, D., 2019. Driver-rider cost sharing strategies and equilibrium in a ridesharing program. Transportation Science, Vol.52, No.4, 868–881. (240) Guo, R.Y., Yang, H., Huang, H.J., Li, X., 2018. Day-to-day departure time choice under bounded rationality in the bottleneck model. Transportation Research Part B: Methodological, Vol.117, 832-849. (239) Ye, H., Xiao, F., Yang, H., 2018. Exploration of day-to-day route choice models by a virtual experiment. Transportation Research Part C: Emerging Technologies, Vol.94, 220-235. (238) Zhang, J., Lindsey, R., Yang, H., 2018. Public transit service frequency and fares with heterogeneous users under monopoly and alternative regulatory policies. Transportation Research Part B: Methodological, Vol.117, 190–208. (237) Zhang, F., Zheng, N., Yang, H., Geroliminis, N., 2018. A systematic analysis of multimodal transport systems with road space distribution and responsive bus service. Transportation Research Part C, Emerging Technologies, Vol.96, 208-230. (236) Yang, H., Ke, J., Ye, J., 2018. A universal distribution law of network detour ratios. Transportation Research Part C: Emerging Technologies, Vol.96, 22-37. (235) Xu, G., Yang, H., Liu, W., Shi, F., 2018. Itinerary choice and advance ticket booking for high-speed-railway network services. Transportation Research Part C: Emerging Technologies, Vol.95, 82-104. (234) Xu, G., Liu, W., Yang, H., 2018. A reliability-based assignment method for railway networks with heterogeneous passengers. Transportation Research Part C: Emerging Technologies, Vol.93, 501-524. (233) Guo, R.Y., Yang, H., Huang, H.J., 2018. Are we really solving the dynamic traffic equilibrium problem with a departure time choice? Transportation Science, Vol.52, No.3, 603-620. (232) He, J., Yang, H., Tang, T.Q., Huang, H.J., 2018. Impacts of wireless charging lanes on travel time and energy consumption in a two-lane road system. Physica A: Statistical Mechanics and its Applications, Vol.500, 1-10. (231) Li, X., Liu, W., Yang, H., 2018. Traffic dynamics in a bi-modal transportation network with information provision and adaptive transit services. Transportation Research Part C: Emerging Technologies, Vol.91, 77-98, (230) Tang, Y., Yang, H., 2018. Managing rail transit peak-hour congestion with fare-reward schemes. Transportation Research Part B: Methodological, Vol.110, 122–136. (229) He, J., Yang, H., Tang, T.Q., Huang, H.J, 2018. An optimal charging station location model with the consideration of electric vehicle’s driving range. Transportation Research Part C: Emerging Technologies, Vol.86, 641-654. (228) Ke, J., Zheng, H., Yang, H., Chen, X., 2017. Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach. Transportation Research Part C: Emerging Technologies, Vol.85, 591-608. (227) Liu, W., Li, X., Zhang, F., Yang, H. (2017) Interactive travel choices and traffic forecast in a doubly dynamical system with user inertia and information provision. Transportation Research Part C: Emerging Technologies, Vol.85, 711-731. (226) Yao, M., Wang, D., Yang, H., 2017. A game-theoretic model of car ownership and household time allocation. Transportation Research Part B: Methodological, Vol.104, 667-685. (225) Zhang, F., Liu, W., Wang, X.L., Yang, H., 2017. A new look at the morning commute with household shared-ride: How does school location play a role? Transportation Research Part E: Logistics and Transportation Review, Vol.103, 198–217. (224) Ye, H. and Yang, H., 2017. Rational behavior adjustment process with boundedly rational user equilibrium. Transportation Science, Vol.51, No.3, 968-980. (223) Xu, H., Yang, H., Zhou, J., Yin, Y., 2017. A route choice model with context-dependent value of time. Transportation Science, Vol.51, No. 2, 536–548. (222) Di, X., Liu, H.X., Ban, X.J., Yang. H., 2017. Ridesharing user equilibrium and its implications for high-occupancy toll lane pricing. Transportation Research Record: Journal of the Transportation Research Board, 2667, 39-50. (221) Zhang, X., Chan, F.T.S., Yang, H., Deng, Y., 2017. An adaptive amoeba algorithm for shortest path tree computation in dynamic graphs. Information Sciences, Vol.405, 123–140. (220) He, J., Huang, H.J., Yang, H., Tang, T.Q., 2017. An electric vehicle driving behavior model in the traffic system with a wireless charging lane. Physica A: Statistical Mechanics and its Applications, Vol.481, 119–126. (219) Bao, Y., Gao, Z., Yang, H., Xu, M., Wang, G., 2017. Private financing and mobility management of road network with tradable credits. Transportation Research Part A: Policy and Practice, Vol.97, 158-176. (218) Liu, W., Zhang, F., Yang, H., 2017. Modeling and managing morning commute with both household and individual travels. Transportation Research Part B: Methodological, Vol.103, 227-247. (217) Zhang, X., Chan, T.S., Adamatzky, A., Mahadevan, S., Yang, H., Zhang, Z., Deng, Y., 2017. An intelligent physarum solver for supply chain network design under profit maximization and oligopolistic competition. International Journal of Production Research Vol.55, No.1, 244-263. (216) Xu, S.X., Cheng, M., Kong, X., Yang, H., Huang, G.Q., 2016. Private parking slot sharing. Transportation Research Part B: Methodological, Vol.93, 596–617. (215) Shao, C., Yang, H., Zhang, Y., Ke, J., 2016. A simple reservation and allocation model of shared parking lots. Transportation Research Part C: Emerging Technologies, Vol.71, 303-312. (214) Zhang, X., Adamatzky, A., Yang, X.S., Yang, H., Mahadevan, S., Deng, Y., 2016. A Physarum-inspired approach to supply chain network design. Science China Information Sciences Vol.59 (5), article number 052203. (213) Zha, L., Yin, Y. and Yang, H., 2016. Economic analysis of ride-sourcing markets. Transportation Research Part C: Emerging Technologies, Vol.71, 249–266. (212) Wang, X., He, F., Yang, H., Gao, H.O., 2016. Pricing strategies for a taxi-hailing platform. Transportation Research Part E: Logistics and Transportation Review, Vol.93, 212–231. (211) Guo, R.Y., Yang, H., Huang H.J., Tan, Z.J., 2016. Day-to-day flow dynamics and congestion control. Transportation Science, Vol.50(3), 982-997. (210) Li, X., Yang, H., 2016. Dynamics of modal choice of heterogeneous travelers with responsive transit services. Transportation Research Part C: Emerging Technologies, 68, 333-349. (209) Tan, Z., Yang, H., Tan, W., Li, Z., 2016. Pareto-improving transportation network design and ownership regimes. Transportation Research Part B: Methodological, Vol.91, 292-309. (208) Wu, Y., Yang, H., Tang, J., Yu, Y., 2016. Multi-objective re-synchronizing of bus timetable: model, complexity and solution. Transportation Research Part C: Emerging Technologies, Vol.67, 149–168. (207) Zhang, F., Lindsey, R., Yang, H., 2016. The Downs–Thomson paradox with imperfect mode substitutes and alternative transit administration regimes. Transportation Research Part B: Methodological, Vol. 86,104-127. (206) Xiao, F., Yang, H., Ye, H., 2016. Physics of day-to-day network flow dynamics. Transportation Research Part B: Methodological, Vol.86, 86-103. (205) Liu, W., Zhang, F., Yang, H., (2016) Managing morning commute with parking space constraints in the case of a bi-modal many-to-one network. Transportmetrica A: Transport Science, Vol.12, No.2, 116-141. (204) Tan, Z.J., Yang, H., Guo, R.Y. (2015) Dynamic congestion pricing with day-to-day flow evolution and user heterogeneity. Transportation Research Part C: Emerging Technologies, Vol.61, 87–105. (203) Wang, X.L., Ye, H., Yang, H., 2015. Decentralizing Pareto-efficient network flow / speed patterns with hybrid schemes of speed limit and road pricing. Transportation Research Part E: Logistics and Transportation Review, Vol.83, 51–64. (202) Ye, H., Yang, H., Tan, Z.J., 2015. Learning marginal-cost pricing via a trial-and-error procedure with day-to-day flow dynamics. Transportation Research Part B: Methodological, Vol.81, 794-807. (201) Xu, X., Chen, A., Kitthamkesorn, S., Yang, H., Lo, H.K., 2015. Modeling absolute and relative cost differences in stochastic user equilibrium problem. Transportation Research Part B: Methodological, Vol.81, 686-703. (200) Liu, W., Yin, Y., Yang, H., 2015. Effectiveness of variable speed limits considering commuters’ long term response. Transportation Research Part B: Methodological, Vol.81, 498–519. (199) Ouyang, Y., Wang, Z., Yang, H., 2015. Facility location design under continuous traffic equilibrium. Transportation Research Part B: Methodological, Vol.81, 18–33. (198) Zhu, D.L., Yang, H., Li, C.M., Wang, X.L., 2015. Properties of the multiclass traffic network equilibria under a tradable credit scheme. Transportation Science, Vol.49, No.3, 519-534. (197) Liu, W., Yang, H., Yin, Y. 2015. Efficiency of a highway use reservation system for morning commute. Transportation Research Part C: Emerging Technologies, Vol.56, 293–308.
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sarahyswu	sarahyswu发表于:2020-11-15 04:23 讲课是否有帮助：较有帮助课程难易程度：一般讲课风格：严谨思维清晰度：清晰启发性：很有启发是否有趣：比较有趣互动程度：一般业界大牛！赞！
端起来	端起来发表于:2020-6-11 17:31 讲课是否有帮助：一般课程难易程度：很难讲课风格：严谨思维清晰度：清晰启发性：很有启发是否有趣：比较有趣互动程度：一般很厉害的老师。
baicong	baicong发表于:2020-6-7 23:33 讲课是否有帮助：一般课程难易程度：很难讲课风格：诙谐幽默思维清晰度：一般启发性：很有启发是否有趣：比较有趣互动程度：一般很厉害的一位老师，市交通领域的大牛！
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