Model Construction and Quantitative Analysis of Taxi-Hailing Subsidy Scheme

Jiarui Xing; Shuxiao Wang; Zihao Zheng

doi:doi:10.11648/j.ajtte.20170201.11

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Model Construction and Quantitative Analysis of Taxi-Hailing Subsidy Scheme

Jiarui Xing, Shuxiao Wang, Zihao Zheng

Published in American Journal of Traffic and Transportation Engineering (Volume 2, Issue 1)

Received: 25 October 2016 Accepted: 13 February 2017 Published: 4 March 2017

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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.

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), 2024. Published by Science Publishing Group

Keywords

Budget, Taxi-Hailing Subsidy Scheme, Sensitivity Analysis

References

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[3]	Xuchao Li (2014). SWOT analysis of taxi soft-ware on a passenger behavior-taking “Didi Taxi” and “Fast Taxi” as examples [J]. Modern Industrial Economy and Informationization, (5), 84-87.
[4]	Yong Gao (2015). Analysis of the influence of mobile phone taxi software on the operation of Beijing taxi [J]. Traffic & Transportation, (5), 38-40.
[5]	Haiyang Lan, Gang Hu, Haiping Yuan (2014). Investigation and thinking about mobile phone taxi software [J]. New West, (7), 39-40.
[6]	Sisi Liu, Ningyi Liu, Gui Zhao (2014). Economic analysis of operation mode of taxisoftware [J]. Gansu Finance, (6), 68-70.
[7]	Lizhen Chen, Lishan Chen (2015). An empirical study on the effect of taxi subsidy in the Internet age [J]. Journal of Chifeng University (natural science edition), 31 (24), 109-112.
[8]	Zaihong Fan (2016). Research on the influence of taxi software on taxi industry [J]. Science Guide, (2), 148-149.
[9]	Litian Yu, Guojian Dai, Jiawen Chen, et al (2015). A game analysis of duopoly-“Kuaidi” and “Didi” in Hangzhou. Consumer Guide, (5), 2.
[10]	Robert Cervero, Aaron Golub (2007). Informal transport: A global perspective. Transport Policy, 14, 445-457.
[11]	Jiarui Xing, Shuxiao Wang, Zihao Zheng (2016). Research on the relationship between the software subsidy scheme ofataxi and the ease of hailing a taxi [C]. 2016 International Conference on Information Engineering andCommunications Technology, U.S.A., DEStech Publications, Inc, 214-219.

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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

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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

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AMA 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

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@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}
}

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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  -

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Author Information

Jiarui Xing

School Information Science and Technology, Beijing Normal University, Beijing, China
Shuxiao Wang

School Mathematical Science, Beijing Normal University, Beijing Normal University, Beijing, China
Zihao Zheng

School Mathematical Science, Beijing Normal University, Beijing Normal University, Beijing, China

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Plain Text BibTeX RIS

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

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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

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AMA 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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download