Optimization Decision of the Location of Shared Car Park

Xiaofeng Yan, Jie Zhao

Abstract

With the development of the shared economy, shared cars have sprung up like bamboo shoots after the rain, providing great convenience for people to travel. How to choose a car park to optimize the use of resources is one of the problems that the managers of all companies pay attention to. This paper through the rolling forecast way to predict the future three years of Chongqing city share total car demand, and then estimate the Chongqing city parking lot demand; then, from the point of view of considering the location factors, to users, operators and government satisfaction as the objective function, the establishment of shop location model; finally, using genetic algorithm to solve the model and in a certain the weight, select the optimal solution. The research results show that the model can provide a more scientific decision-making method for the location of car park in Chongqing.

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Paper Citation


in Harvard Style

Yan X. and Zhao J. (2018). Optimization Decision of the Location of Shared Car Park.In 3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT, ISBN 978-989-758-312-4, pages 323-328. DOI: 10.5220/0006970003230328


in Bibtex Style

@conference{icectt18,
author={Xiaofeng Yan and Jie Zhao},
title={Optimization Decision of the Location of Shared Car Park},
booktitle={3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT,},
year={2018},
pages={323-328},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006970003230328},
isbn={978-989-758-312-4},
}


in EndNote Style

TY - CONF

JO - 3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT,
TI - Optimization Decision of the Location of Shared Car Park
SN - 978-989-758-312-4
AU - Yan X.
AU - Zhao J.
PY - 2018
SP - 323
EP - 328
DO - 10.5220/0006970003230328