The allocation of taxi resources in the “Internet +” Era

DOI

10.2991/icmmcce-15.2015.512How to use a DOI?

Keywords

Fuzzy Mathematics,TOPSIS,Cluster analysis.

Abstract

First, each company's taxi subsidy scheme is mainly to improve fuel costs when oil prices rise subsidies, paid holidays, extreme weather subsidies. However, these subsidies with respect to the money and high fuel costs, but inadequate. In heavy traffic roads, peak demand periods, there are still many drivers pick off, refusing passengers, which resulting in a "taxi difficult" grim situation. Recently, the emergence of a taxi software slight impact on this situation. Absolute value close to 1 from the timing and amount of the two aspects of the two taxi software to do similarity measure, draw a correlation coefficient, consider one of the short time lag,then know there is competition between the two companies. To further study the impact of competition between them on the "taxi difficult", observed trends in 2013 from Hangzhou daily average passenger subsidy programs with both software changes on the line graph: Subsidies have larger effort in the early, passenger traffic has Swells; With reducing subsidies, passenger traffic gradually fell, even lower than the average level of subsidy ago.

Copyright

© 2015, 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  - Yang Liu
PY  - 2015/12
DA  - 2015/12
TI  - The allocation of taxi resources in the “Internet +” Era
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.512
DO  - 10.2991/icmmcce-15.2015.512
ID  - Liu2015/12
ER  -