通过先进的计量经济学和大规模基于智能体的网络对多伦多和汉密尔顿地区的区域旅行需求进行微观模拟.pdf

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1、Microsimulation of Regional Travel Demand through Advanced Econometrics and Large-Scale Agent-based Network Simulation for the Greater Toronto and Hamilton AreaKaili Wang,PhD Candidate,University of TorontoSk.Md.Mashrur,PhD Candidate,University of TorontoKhandker Nurul Habib,Professor in Civil&Miner

2、al Engineering,University of TorontoTransportation Research Board(TRB)Innovations in Travel Analysis and Planning ConferenceJune 4-6,2023,Indianapolis,IndianaOutline 2Motivation&IntroductionThe theory:modelling approachCase study:modelling workers activity-travel demandConclusion&Future worksMotivat

3、ion3 Urban mobility is shaped by both technological and societal factors.Technological factors:telecommunication,autonomous vehicles,etc.Societal factors:policy&norm.During the past years,societal norm for workplace arrangements has been drastically changed in advanced economies.The culture of work-

4、from-home in has become a new norm.In U.S.,an average of 50%of the office space capacity is not utilized today.https:/ Activity-based travel demand modelling approach needs to be adjusted to accommodate such changes in working patterns.We develop a travel demand modelling framework that captures the

5、 dynamics between technological advancements,flex workplace choices and mobility decisions.The modelling framework is:Fully econometric-theory driven,provide interpretability and reliability Large scale-handles mega-metropolitan area with multimillion residents Integrated-full-fledged system contain

6、ing activity-travel schedule generation+simulation-based dynamic traffic assignment components.Modelling approach(1)Exogenous inputsSocioeconomic variablesLand use variablesMobility toolsCUSTOMMATSimActivity-type+Location+Travel mode+Time allocationchoicesMode specific agent-based traffic assignment