Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

The best taxicab strategy for a town

Authors
GuoJing Dong
Corresponding Author
GuoJing Dong
Available Online May 2016.
DOI
10.2991/wartia-16.2016.84How to use a DOI?
Keywords
Supply-demand equilibrium model, Average waiting time , Single-pass income
Abstract

Taxi is an important means of transport in our life. With the development of the society, a taxi is convenient or not and its price may have a direct impact on the passenger's ride experience and the quality of life. There is no denying that it is necessary to discuss how to set prices, etc. In Model 1, we divide the whole city into four zones according to their functions .we establish the relation between average waiting time and taxi number based on the balance equation of supply and demand. According to the actual situation ,we calculate the minimum number of taxis, which satis es the requests, is 127. In Model 2, we studied the conversion issue from zone-to-zone price to meter-based price. Single ride distances and the number of passing zones can be obtained by computer simulation. Using these data, we can calculate the single-pass income under the two pricing systems. What´s more, the correctness of Model 2 is veri ed by Washington´s real taxi price system. Finally, we develop suitable zone-to-zone price in this city, and work out the meter-based price is 200cent/mile.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
10.2991/wartia-16.2016.84
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.84How 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  - GuoJing Dong
PY  - 2016/05
DA  - 2016/05
TI  - The best taxicab strategy for a town
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 423
EP  - 426
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.84
DO  - 10.2991/wartia-16.2016.84
ID  - Dong2016/05
ER  -