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Research On Modeling And Optimization Of Traffic Network With Consideration Of Land Use

Posted on:2019-04-22Degree:DoctorType:Dissertation
Country:ChinaCandidate:T F LiFull Text:PDF
GTID:1312330545972309Subject:Systems Science
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Urban traffic system is an open complex dynamic system.Modeling and analyzing of transportation and land use have always been one of the most difficult and hot issues in traffic science field.From the macroscopic view,the interrelationship between transportation and land use is embodied in the process of urban evolution.Urban evolution is mainly characterized by road networks evolution.The evolution of urban road network will affect the distribution of traffic flow,affect the average travel distance and travel cost of residents.Thus,it will further affect the residential location choice of households and land use pattern.The interaction among various factors forms the evolution process of city.From the perspective of individual choice,the modeling and analyzing of transportation and land use is the research on a set of individual choice behaviors,such as households' residential location choice,residents workingplace choice,etc.Therefore,this paper studies the interrelationship between transportation and land use from following two perspectives:macroscopic and microscopic individual view.And it gives the optimal design of urban expressway,traffic management,integrated optimization of urban planning and traffic planning.Thus,it provides decision basis for scientifically reasonable urban planning,traffic planning and management.The main contents of this thesis are as follows:(1)An integrated co-evolution model with the consideration of land use and traffic network design is proposed in this section.In the suggested model,three kinds of economic agents are considered.On the one hand,the government makes the investment decision for the traffic network improvement based on the current traffic condition under the limited budget.On the other hand,households and companies will choose their locations according to the attraction of each traffic zone related to the road network accessibility and the housing price.Therefore,the land use is indicated by the population and employment distributions through the evolution process.Besides,government invests traffic network to improve traffic condition can be modeled by a general bi-level programming of traffic network design.(2)This section proposes an optimal urban expressway system model with consideration to the interaction equilibrium between transportation and land use.In the suggested model,three kinds of economic agents were examined.Government departments design an optimal urban expressway systems in order to maximize the urban system's total social welfare under a limited budget.However,households and firms choose their locations according to the attractiveness of each traffic zone related to road network accessibility and housing prices.In addition,this optimization problem is formulated as a bi-level program in which the upper-level subprogram maximize the urban system's total social welfare from the government departments' point of view,whereas the lower-level sub-program uses the transportation and land use equilibrium model.(3)We consider the location choice behavior of new residents in an urban system with the approach of reference-dependent theory.This problem is formulated as a bi-level program in which the upper-level subprogram model household residential choice behavior follows a combined reference-dependent and discrete choice model,whereas the lower-level sub-program is a multi-class multi-criteria stochastic user equilibrium model.Here,the heterogeneity of households and travelers and the stochastic character of the travel network have been fully considered.People in different classes have different income levels,values of time and degrees of emphasis toward travel monetary cost.(4)Because of limited budget and the consideration of transportation demand management,most of the new highways will be tolled after putting them into use.Meanwhile,lots of people belonging to different sectors of society flocked to city to search for jobs and better living each year.Therefore,for the government departments,one of most important issues is to determine the optimal toll of new highway under the background of ever-increasing households.This section proposes an optimal toll model in the equilibrium framework of heterogeneous households' residential location choice.It is formulated as a bi-level program.In the upper-level subprogram,government departments determine an optimal toll of new highway in order to minimize urban system's total travel time.However,the construction and toll charge of the new highway will totally change urban traffic condition,and thus under the assumption of a complete market economy it.will further affect the new households' location and commute behavior.Here,new households' location choice behavior has been modeled based on reference-dependent theory and household balance model.And their route choice behavior has been formulated as the multi-class multi-criteria stochastic user equilibrium model.This combined residential location choice and traffic assignment problem has been formulated by fixed point theory as the lower-level program.(5)How to develop the limited land resource reasonably is a very important problem related to the management science in city planning,road network design or traffic control.This section develops a methodology to model the integrated land use and transportation on doubly uncertain network with stochastic link capacity degradation and stochastic demand.The model can be formulated with a bi-level programming.In the programming,the upper level is to maximize the network performance from the viewpoint of topology structure according to the land use planning.While the lower level is the combined distribution and assignment model with long-run travel cost function which is used to map the land-use pattern to the link-loading pattern in the network.
Keywords/Search Tags:Urban evolution, transportation and land use, residential location choice, network design, traffic planning, urban planning
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