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          司徒惠源:Optimal sectional fare and frequency settings for transit networks with elastic demand

          發布時間:2019-08-23  

          報告時間2019年08月16日(周一)下午16:00-17:30

          報告地點屯溪路校區三立苑331室

          報告人:   司徒惠源 教授

          工作單位香港大學

          舉辦單位汽車與交通工程學院

          個人簡介

          司徒惠源教授長期從事交通網絡設計問題、交通網絡不確定性和可靠性、綠色交通、公共自行車交通、動態交通分配問題、智能交通系統、公共交通、優化算法等領域的研究。先后在國際SCI或SSCI檢索刊物上錄用或發表論文130余篇,2篇發表在管理科學與運籌學領域頂級期刊《Operations Research》上,30余篇發表在交通科學頂級期刊《Transportation ResearchPart B》上,5篇論文在交通科學頂級國際會議ISTTT上宣讀,其他論文主要發表在《Transportation Research Part A》、《TransportationResearch Part C 》、《Transportation Research Part D》、《TransportationResearch Part E 》等SCI國際刊物上。司徒惠源教授現擔任《Transportmetrica B》和《Open Engineering》的編輯,《Networksand Spatial Economics》和《International Journal of Transportation》等國際期刊的區域編輯;并擔任《Journal of Intelligent Transportation Systems》、《TransportmetricaA》等國際期刊的副主編;還擔任《Transportation Research Part B》、《Networksand Spatial Economics》等8個國際期刊的客座編輯,以及《Transportation ResearchPart C》、《Transportation Research Part D》、《TransportationResearch Part E》等8個國際期刊的編委。

           

          報告簡介

          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.
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