Travel Plan Design Based on Graph Theory and Multiple Linear Regression Equation Model

DOI

10.2991/icmemtc-16.2016.293How to use a DOI?

Keywords

Travel Plan Design; Graph Theory; Principal Component Analysis; Goal Programming; Multiple Linear Regression Equation

Abstract

Different families have different needs for tours. In order to solve the problem, this paper firstly creates a table which takes all determining varieties into consideration. By adopting principal component for analyzing and filtrating the main factors, the conclusion is as follow: the first principal component is time and the second one is cost; their factor contribution rate is respectively 58.95% and 38.93%. Moreover, the two weighted principal components can make the analysis process easier and reduce error rate. Secondly, in order to provide the best tour plan for different families, this paper selects eight tourist attractions in Xi'an and establishes the goal programming model which covers some factors, such as tour routes, costs and time. Finally, a multivariate linear regression equation is applied to test traveling plans and determine the best one.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yifeng Dou
AU  - Hailing Xiong
PY  - 2016/04
DA  - 2016/04
TI  - Travel Plan Design Based on Graph Theory and Multiple Linear Regression Equation Model
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1521
EP  - 1526
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.293
DO  - 10.2991/icmemtc-16.2016.293
ID  - Dou2016/04
ER  -