报告时间:2019年08月16日(周一)下午16:00-17:30
报告地点:屯溪路校区三立苑331室
报告人: 司徒惠源 教授
工作单位:香港大学
举办单位:汽车与交通工程学院
个人简介:
司徒惠源教授长期从事交通网络设计问题、交通网络不确定性和可靠性、绿色交通、公共自行车交通、动态交通分配问题、智能交通系统、公共交通、优化算法等领域的研究。先后在国际SCI或SSCI检索刊物上录用或发表论文130余篇,2篇发表在管理科学与运筹学领域顶级期刊《Operations Research》上,30余篇发表在交通科学顶级期刊《Transportation ResearchPart B》上,5篇论文在交通科学顶级国际会议ISTTT上宣读,其他论文主要发表在《Transportation Research Part A》、《TransportationResearch Part C 》、《Transportation Research Part D》、《TransportationResearch Part E 》等SCI国际刊物上。司徒惠源教授现担任《Transportmetrica B》和《Open Engineering》的编辑,《Networksand Spatial Economics》和《International Journal of Transportation》等国际期刊的区域编辑;并担任《Journal of Intelligent Transportation Systems》、《TransportmetricaA》等国际期刊的副主编;还担任《Transportation Research Part B》、《Networksand Spatial Economics》等8个国际期刊的客座编辑,以及《Transportation ResearchPart C》、《Transportation Research Part D》、《TransportationResearch Part E》等8个国际期刊的编委。
报告简介:
Sectional fares have beenused in transit services in practice but are rarely examined analytically andcompared with flat and distance-based fares, especially under theconsiderations of path choice, elastic demand, service frequency, andprofitability. This paper proposes a bilevel programming model to jointlydetermine the fare and frequency setting to maximize transit operator's profit.The preceding three fare structures can be incorporated into the bilevel model.To consider the path choice and elastic demand in the bilevel model, theexisting approach-based stochastic user equilibrium transit assignment modelfor the fixed demand was extended to the elastic demand case and the resultantmodel was used in the lower level model. To solve the bilevel model, thesensitivity-based descent search method that takes into account theapproach-based formulation for the elastic demand transit assignment isproposed, in which the approach-based formulation was solved by thecost-averaging self-regulated averaging method. Numerical studies andmathematical analyses were performed to examine the model properties andcompare the three fare structures. The result of the Tin Shui Wai networkinstance is also provided to illustrate the performance of the solution method.