The convenient taxi-hailing is a big issue for nearly all cities in China. Striving to ease the taxi-hailing difficulty" as the objective function, the "economic expenditure of the subsidies" as the budget constraints, a more ideal taxi subsidy program and its budget is obtained by solving the conditional extreme value function based on the Lagrange method. The subsidy schemes according to the per mileage subsidy to the taxi driver will be optimal choice in the peak hours/urban center and in the off-peak hours/ urban fringes. Whereas, the subsidy schemes will be the most effective in the off-peak hours/ urban center and in peak hours/urban fringes in the light of the fuel consumption subsidy to the taxi driver. A sensitivity analysis is made for the parameters of model to evaluate its key influencing factors on stability.
Published in | American Journal of Traffic and Transportation Engineering (Volume 2, Issue 1) |
DOI | 10.11648/j.ajtte.20170201.11 |
Page(s) | 1-5 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Budget, Taxi-Hailing Subsidy Scheme, Sensitivity Analysis
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APA Style
Jiarui Xing, Shuxiao Wang, Zihao Zheng. (2017). Model Construction and Quantitative Analysis of Taxi-Hailing Subsidy Scheme. American Journal of Traffic and Transportation Engineering, 2(1), 1-5. https://doi.org/10.11648/j.ajtte.20170201.11
ACS Style
Jiarui Xing; Shuxiao Wang; Zihao Zheng. Model Construction and Quantitative Analysis of Taxi-Hailing Subsidy Scheme. Am. J. Traffic Transp. Eng. 2017, 2(1), 1-5. doi: 10.11648/j.ajtte.20170201.11
@article{10.11648/j.ajtte.20170201.11, author = {Jiarui Xing and Shuxiao Wang and Zihao Zheng}, title = {Model Construction and Quantitative Analysis of Taxi-Hailing Subsidy Scheme}, journal = {American Journal of Traffic and Transportation Engineering}, volume = {2}, number = {1}, pages = {1-5}, doi = {10.11648/j.ajtte.20170201.11}, url = {https://doi.org/10.11648/j.ajtte.20170201.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20170201.11}, abstract = {The convenient taxi-hailing is a big issue for nearly all cities in China. Striving to ease the taxi-hailing difficulty" as the objective function, the "economic expenditure of the subsidies" as the budget constraints, a more ideal taxi subsidy program and its budget is obtained by solving the conditional extreme value function based on the Lagrange method. The subsidy schemes according to the per mileage subsidy to the taxi driver will be optimal choice in the peak hours/urban center and in the off-peak hours/ urban fringes. Whereas, the subsidy schemes will be the most effective in the off-peak hours/ urban center and in peak hours/urban fringes in the light of the fuel consumption subsidy to the taxi driver. A sensitivity analysis is made for the parameters of model to evaluate its key influencing factors on stability.}, year = {2017} }
TY - JOUR T1 - Model Construction and Quantitative Analysis of Taxi-Hailing Subsidy Scheme AU - Jiarui Xing AU - Shuxiao Wang AU - Zihao Zheng Y1 - 2017/03/04 PY - 2017 N1 - https://doi.org/10.11648/j.ajtte.20170201.11 DO - 10.11648/j.ajtte.20170201.11 T2 - American Journal of Traffic and Transportation Engineering JF - American Journal of Traffic and Transportation Engineering JO - American Journal of Traffic and Transportation Engineering SP - 1 EP - 5 PB - Science Publishing Group SN - 2578-8604 UR - https://doi.org/10.11648/j.ajtte.20170201.11 AB - The convenient taxi-hailing is a big issue for nearly all cities in China. Striving to ease the taxi-hailing difficulty" as the objective function, the "economic expenditure of the subsidies" as the budget constraints, a more ideal taxi subsidy program and its budget is obtained by solving the conditional extreme value function based on the Lagrange method. The subsidy schemes according to the per mileage subsidy to the taxi driver will be optimal choice in the peak hours/urban center and in the off-peak hours/ urban fringes. Whereas, the subsidy schemes will be the most effective in the off-peak hours/ urban center and in peak hours/urban fringes in the light of the fuel consumption subsidy to the taxi driver. A sensitivity analysis is made for the parameters of model to evaluate its key influencing factors on stability. VL - 2 IS - 1 ER -