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Research On Taxi Carpooling Behavior And Evolution With Bounded Rationality

Posted on:2018-08-16Degree:DoctorType:Dissertation
Country:ChinaCandidate:W ZhangFull Text:PDF
GTID:1319330518467906Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Taxi carpooling mode can alleviate city traffic congestion,save resources and reduce pollution.Many countries have implemented carpooling system,and achieved good results.Some cities in China are gradually implementing carpooling system to solve traffic problems.At present carpooling system in our country is in the initial stage,and there are many problems in the process of carpooling system implementation.The behaviors of passengers and drivers have great influences on carpooling implement.In reality,the phenomenon of a lot of passengers and drivers refusing to carpooling is very common,which will seriously hinder the implementation of carpooling system.Therefore,it is very necessary to study the behaviors of the passengers and drivers under the carpooling system.Considering bounded rationality of human,this paper studies the problem of taxi carpooling behavior with bounded rationality to make the research more close to the actual situation.In this paper,the researches on taxi carpooling behaviors are carried out based on prospect theory,evolutionary game theory and fair theory which are on the premise of bound rationality.The specific studies are as follows:(1)The research on taxi carpooling effects is carried out,and a simulation analysis method of taxi carpooling effects is put forward.Taxi carpooling model is built and simulation algorithm is designed based on analysis of passenger's cost and driver's income under different situations.Carpooling effects are analyzed by cost of passenger,income of the driver and capacity of taxi market.The influences of payment ratio and traffic congestion on carpooling effects are analyzed.Effectiveness of carpooling is test,and influences of carpooling effect are obtained.(2)The research on the carpooling behavior of passengers is carried out,and an analysis method of passengers' carpooling decision is put forward.The model of passenger carpooling decision is built based on prospect theory with the decision factors of travel time,cost and comfort.Passenger capooling behavior and the influences on carpooling decision are analyzed with different reference points.The method proposed considers passengers psychology and uncertain traffic condition,embodies the characteristics of passengers' bounded rationality,which is an analysis method of passengers' carpooling decision with uncertain environment.(3)The research on the carpooling behavior of drivers is carried out,and an analysis method of drivers' income and behavior is put forward.Drivers' income fair model is established based on fair theory through the analysis of the drivers' income and psychology with different conditions.The changes of average income,individual income and the influencing factors on income are analyzed.The model considers drivers' behavior changes caused by their fair psychology,which provides a new thought for analyzing drivers' carpooling behaviors with bounded rationality.(4)The research on the carpooling strategy of passengers and driver is carried out.The passengers' strategy choices under different conditions are analyzed detailedly based on carpooling decision method proposed in the previous chapter.Prospect theory is introduced into evolutionary game theory,and evolutionary game model is improved.The capooling game model of the passengers and drivers based on prospect values is built.Then evolution analysis is done by replicated dynamic mechanism,and carpooling stable strategies of both sides are obtained.The method overcomes the problem of strategy gain rationality,and considers not only bounded rationality of gain judgment,but also dynamic adjustment of strategy.(5)The problem of carpooling detour is studied,and an analysis method of carpooling detour is put forward.On the one hand,carpooling path game model between passengers is built based on prospect theory and evolutionary game theory,and stable strategies and influence fators are analyzed.On the other hand,driver's carpooling strategy model is established to analyze drivers' evolution strategy.Furtherly,complaint mechanism is introduced,and drivers' evolution strategies with the complaint mechanism are studied.It is found out that the complaint mechanism can prevent effectively drivers' refusing behavior in the carpooling system.The method can analyze passengers and drivers' s behavior under the condition of capooling detour with bounded rationality,and discusses the measures to make capooling detour possible.This paper studies the problem of taxi capooling behavior from a new perspective of bounded rationality.The carpooling effects model is built,and a method of taxi carpooling effects analysis is proposed;the passengers carpooling decision model is built based on prospect theory,and a method of passengers' carpooling behavior analysis is proposed;psychology theory is introduced into behavior modeling,and the drivers' income model is established,which provide a new thought for studying carpooling behavior;prospect theory and evolutionary game theory first are combined,a method of evolutionary game based on prospect values is proposed,which make up for full rationality shortcoming of earning judgment;strategy evolution model between passengers and behaviors is established to study stability strategy of behavior subjects;the carpooling path game model between passengers and driver's carpooling strategy model are built under the condition of detour to study the problem of carpooling detour,which perfect carpooling researches.This paper thoroughly carries out fundamental theory research on taxi carpooling behavior from new perspective of bounded rationality.Research conclusions can provide theoretical support for carpooling behavior,which have important guiding significance for the development of traffic carpooling policy.
Keywords/Search Tags:Taxi Carpooling, Bounded Rationality, Behavior Analysis, Prospect Theory, Evolutionary Game
PDF Full Text Request
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