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Optimal Allocation Of Taxi Market Share Under Deregulation

Posted on:2018-01-13Degree:MasterType:Thesis
Country:ChinaCandidate:C XuFull Text:PDF
GTID:2359330566456775Subject:Applied statistics
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With the accelerated process of urbanization in China and the continuous improvement of people's living standards,the demand for residents traveled rapidly and the mode of travel became more and more diversified.Taxi operators to meet the needs of individual travel at the same time,but also reflects the market supply and demand does not match,travel waiting time is too long,the management model is lagging behind and so on.For example,in the Beijing area,both passengers complained that the taxi on the road too little taxi is too difficult;there are taxi drivers complained that "Part money" is too high,too little profit.In recent years,with the rise of the network booking a taxi,the taxi market is subject to greater impact.Thus,the future of the taxi market and the network booking how the taxi according to the different needs of the market positioning,how to coordinate the government,taxi companies,drivers and passengers and other interests of the main economic and social welfare issues to be resolved.In order to explore the above issues,based on the first-hand data obtained from the questionnaire survey,this paper analyzes the current situation of the taxi and the network car market by taxi and the vehicle driver and passengers as the research object.Set price controls and quantitative control constraints variables,To maximize the social welfare of the taxi market as the objective function,Based on the analysis of the logarithmic regression model and the genetic algorithm,this paper studies the relationship between the resource allocation and the market share of the taxi market and the network car market.In this paper,we discuss the optimization scheme under the conditions of maximizing the social welfare of the taxi market.Statistical analysis and empirical researc h show that the main factors influencing the passenger taxi demand are the average taxi price,the passenger travel waiting time,the taxi condition and the satisfaction degree of the industry management and the residents' income,and there is a significant double logarithmic model relationship;The main factors that affect the travel demand of the passenger car are the average price of the network car,the attitude of the passengers to the network and the income of the residents,and they also have significant double logarithmic model relations.Taxi market optimization configuration estimates show that,(1)Whether it is a taxi or a network of vehicles,the higher the satisfaction of passengers on the traffic conditions,the more satisfied with the overall management of passengers,the more satisfied with the service attitude of the passengers,the greater the market efficiency;(2)when the average waiting time of each passenger is about 3 minutes,the surplus of the consumer and the producer can be maximized;(3)to effectively reduce the cost of the driver can improve market efficiency;(4)the higher the income of the residents,the greater the benefits to the entire taxi market;(5)When the number of taxis on the taxi market in Beijing is 70,753,the number of Internet access vehicles is 39753,which can fully meet the needs of residents in Beijing.At this point,the taxi market to maximize the al ocation of resources,and then to maximize the market benefits.
Keywords/Search Tags:Taxi, Net about cars, Genetic algorithm, Optimization
PDF Full Text Request
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