Proceedings of the 2016 International Conference on Economy, Management and Education Technology

Research on "Supply and Demand Matching" Degree of taxi resources in "Internet +" Age

Authors
Jianhua Gao
Corresponding Author
Jianhua Gao
Available Online May 2016.
DOI
10.2991/icemet-16.2016.429How to use a DOI?
Keywords
taxi; supply and demand matching; TOPSIS method; evaluation model.
Abstract

In this paper, we will establish a Comprehensive evaluation model[1] of taxi resources, based on TOPSIS method. In the model, we consider several indexes: taxi no-load ratio. First, we analyzed the changing curve of each index in different time and space in Nanjing City. Then, the weight coefficient of each index is determined by entropy method. Finally, based on TOPSIS method, we got the changing curve of supply and demand matching relation in different area of Nanjing city. By analysing the changing curves,we draw a conclusion that most of the taxi resources are in the short supply degree, just in some travel peak gas may be in a state of oversupply.

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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Volume Title
Proceedings of the 2016 International Conference on Economy, Management and Education Technology
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2016
ISBN
978-94-6252-193-3
ISSN
2352-5398
DOI
10.2991/icemet-16.2016.429How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Jianhua Gao
PY  - 2016/05
DA  - 2016/05
TI  - Research on "Supply and Demand Matching" Degree of taxi resources in "Internet +" Age
BT  - Proceedings of the 2016 International Conference on Economy, Management and Education Technology
PB  - Atlantis Press
SP  - 1869
EP  - 1873
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemet-16.2016.429
DO  - 10.2991/icemet-16.2016.429
ID  - Gao2016/05
ER  -