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Research On Evaluation Of Taxi Informatization Service Quality Based On Multivariate Data

Posted on:2017-04-30Degree:MasterType:Thesis
Country:ChinaCandidate:C C NieFull Text:PDF
GTID:2309330503474655Subject:Transportation planning and management
Abstract/Summary:PDF Full Text Request
With the continuous development of society and the improvement of technology,Life informatization level is also gradually improved. Informatization brings convenience to our life. As an important part of urban public transport, Taxi can bring great convenience to people travel. However, the non-standard problems of the taxi industry have brought a certain hidden danger to the stable development of the city. With the information service in the taxi industry has been widely used, the overall service quality of the industry has been greatly improved. Therefore, it is very necessary and significant to study the quality evaluation of taxi informatization service.This paper establishes the evaluation system of taxi informatization service quality from the angle of customer satisfaction and constructe evaluation model of BP neural network. First of all, through the research and analysis of the development of Ningbo taxi industry and the level of informatization, I understand related groups of service quality and the effective power of the development of the industry brought by informatization. Then, I analyze the taxi information service quality evaluation index from the angle of customer satisfaction and establish the final evaluation model and satisfaction survey program. Next, through the comparative analysis I select the BP neural network based on LM optimization algorithm to calculate service quality evaluation model of taxi informatization. At the same time, the satisfaction survey of the related personnel provides the data support for the model calculation. Take the MATLAB2012 as operation platform, training and emulating the service quality satisfaction. Through the analysis of the comparison between the results and expected results I conclude that BP neural network based on LM optimization algorithm is able to calculate the model. Finally, through the analysis of the data, I find some problems of Ningbo city taxi informatization service, and put forward some constructive suggestions to improve the service level of informatization.
Keywords/Search Tags:Taxi informatization, Quality of service, LM optimization algorithm, BP neural network
PDF Full Text Request
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