The era qInternet +q taxi resources configuration research Based on the multiple regression model Article Swipe

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Xiaocheng Gao , Yingbing Fan , Guoxian Wang , Ye Wang , Xichun Jiang , Yannan Mu ·

YOU? · · 2017 · Open Access · · DOI: https://doi.org/10.2991/msmee-17.2017.52

As taxi software increasingly hot, more and more people use a taxi booking taxi software.Based on the mobile Internet software has formed certain taxi with taxi process, showed a lot of convenient advantage, a taxi passengers every time use software taxi booking, used software company will give the driver and passengers of the corresponding subsidy, and with the upgrade of competition, the magnitude of the subsidies larger and larger.However, problems such as resource allocation and subsidies a taxi gradually leads to the difficult situation, first to collect relevant data, mathematical model is established.For problem 1: taxi "match" the supply and demand of resources, We set up three indicators, Ownership mileage effectiveness, load factor, ten thousand people through the establishment of a comprehensive evaluation model, evaluation and found only the load factor are greatly influenced by time and space, so the load factor has carried on the detailed analysis, finally come to the conclusion.For question 2,how to make a taxi software can better promotion in the society, the need for a reasonable subsidy policy with taxi.According to different total subsidy and taxi population proportion, taxi ownership of data, we established the multivariate regression model, then using SPSS software for factor into the model of multiple regression equation is obtained, thus significance analysis, the equation to satisfy different results subsidence a taxi and total population, taxi, the relationship between the ownership and subsidy scheme is given, and the error of the equation of subsidy policy accordingly reasonable analysis and sensitivity analysis and verification.

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Type: article
Language: en
Landing Page: https://doi.org/10.2991/msmee-17.2017.52
PDF: https://download.atlantis-press.com/article/25877681.pdf
OA Status: gold
References: 1
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DOI: https://doi.org/10.2991/msmee-17.2017.52

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Title: The era qInternet +q taxi resources configuration research Based on the multiple regression model

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Language: en

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Publication year: 2017

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Publication date: 2017-01-01

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Authors: Xiaocheng Gao, Yingbing Fan, Guoxian Wang, Ye Wang, Xichun Jiang, Yannan Mu

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Landing page: https://doi.org/10.2991/msmee-17.2017.52

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Concepts: Computer science, Regression analysis, Data modeling, Machine learning, Database

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