Optimal model of taxi waiting time fee under traffic congestion condition

YUAN Zhang-wei; MI Xue-yu; WU Qun-qi; WEI Da-li

Volume 14 Issue 2

Turn off MathJax

Article Contents

Article Navigation > Journal of Traffic and Transportation Engineering > 2014 > 14(2): 75-81

Next Previous

YUAN Zhang-wei, MI Xue-yu, WU Qun-qi, WEI Da-li. Optimal model of taxi waiting time fee under traffic congestion condition[J]. Journal of Traffic and Transportation Engineering, 2014, 14(2): 75-81.

Citation:

YUAN Zhang-wei, MI Xue-yu, WU Qun-qi, WEI Da-li. Optimal model of taxi waiting time fee under traffic congestion condition[J]. Journal of Traffic and Transportation Engineering, 2014, 14(2): 75-81.

YUAN Zhang-wei, MI Xue-yu, WU Qun-qi, WEI Da-li. Optimal model of taxi waiting time fee under traffic congestion condition[J]. Journal of Traffic and Transportation Engineering, 2014, 14(2): 75-81.

Citation:

YUAN Zhang-wei, MI Xue-yu, WU Qun-qi, WEI Da-li. Optimal model of taxi waiting time fee under traffic congestion condition[J]. Journal of Traffic and Transportation Engineering, 2014, 14(2): 75-81.

PDF( 832 KB)

Optimal model of taxi waiting time fee under traffic congestion condition

1.
School of Economics and Management, Chang'an University, Xi'an 710064, Shaanxi, China
2.
School of Civil and Architectual Engineering, Hebei United University, Tangshan 063009, Hebei, China
3.
Department of Civil and Environmental Engineering, Texas Tech University, Lubbock 79409, Texas, USA

More Information

Author Bio:
YUAN Chang-wei (1981-), male, associate professor, PhD, +86-29-82334898, yuanchangwei@126.com
Received Date: 2013-11-29
Publish Date: 2014-04-25

Abstract

Abstract

Based on economics demand theory, taxi income was divided into starting fee, mileage fee and waiting time fee.Taxi capacity was taken as constraint condition, the influence factors of taxi income during peak period and non-peak period were considered, the influence levels of waiting time fee on taxi demand and income were analyzed, and the optimal model of taxi waiting time fee under traffic congestion condition was set up.Based on the actual situation of taxi market in Beijing City, the example verification was carried out by using three schemes including original scheme, adjustment scheme and proposed scheme.Analysis result shows that when the starting fees are 12, 14, 12 yuan, unit mileage fees are 2.0, 2.3, 2.0 yuan·km-1 and waiting time fees are 24.0, 55.2, 55.2 yuan·h^-1, taxi incomes are 669.9, 504.9, 675.9 yuan respectively. Under adjustment scheme, taxi demand decreases by 46.1%, and taxi income decreases by 25%. Under the proposed scheme, taxi demand decreases by 18.5%, and taxi income keeps stable level compared with original scheme.According to the exist structure of taxi fee, the adjustment objective of taxi demand and income can be realized by using proposed scheme.In the reformscheme of taxi price in Beijing City, it is suitable to keep or decrease starting fee and mileage fee and increase waiting time fee.
- transportation economy,
- traffic congestion,
- taxi income,
- taxi demand,
- waiting time fee

FullText(HTML)

References(14)

References

[1]	DOUGLAS G W. Price regulation and optimal service standards[J]. Journal of Transport Economics and Policy, 1972, 6 (2): 116-127.
[2]	VANY A S. Capacity utilization under alternative regulatory restraints: an analysis of taxi markets[J]. Journal of Political Economy, 1975, 83 (1): 83-94. doi: 10.1086/260307
[3]	ALVARO P, FRIDA J. Pricing and regulatory issues in urban transport[R]. Washington DC: Word Bank, 1989.
[4]	MORISUGI H, ARINTONO S, PARAJULI B P. Fare level and fleet optimization of taxi and bus operation in Yogyakara, Indonesia[J]. Journal of the Eastern Asia Society for Transportation Studies, 1997, 2 (5): 1547-1553.
[5]	JASON S K, CHUN C. Taxi vacancy rate, fare, and subsidy with maximum social willingness-to-pay under log-linear demand function[J]. Transportation Research Record, 2009 (2111): 90-99.
[6]	YANG Hai, FUNG C S, WONG K I, et al. Nonlinear pricing of taxi services[J]. Transportation Research Part A: Policy and Practice, 2010, 44 (5): 337-348. doi: 10.1016/j.tra.2010.03.004
[7]	AQUILINA M. Quantity de-restriction in the taxi market: results from English case studies[J]. Journal of Transportation Economics and Policy, 2011, 45 (2): 179-195.
[8]	LU Qing, CHEN Qi. Analysis of taxi price management[J]. Transportation Enterprise Management, 2012, 27 (8): 22-23. (in Chinese). doi: 10.3963/j.issn.1006-8864.2012.8.010
[9]	GU Hai-bing, ZHENG Jie. Economics analysis of taxi price system[J]. Price: Theory and Practice, 2010, 30 (3): 16-18. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-HYXY200402012.htm
[10]	CHIEN S, GAO Sheng-yan, MEEGODA J N, et al. Fleet size estimation for spreading operation considering road geometry, weather and traffic[J]. Journal of Traffic and Transportation Engineering: English Edition, 2014, 1 (1): 1-12. doi: 10.1016/S2095-7564(15)30084-2
[11]	YANG Ying-jun, ZHAO Xiang-mo. Schedule model of urban taxi quantity based on taxi running information[J]. China Journal of Highway and Transport, 2012, 25 (5): 120-125. (in Chinese). doi: 10.3969/j.issn.1001-7372.2012.05.019
[12]	WONG K I, WONG S C, YANG Hai. Modeling urban taxi services in congested road networks with elastic demand[J]. Transportation Research Part B: Methodological, 2001, 35 (9): 819-842. doi: 10.1016/S0191-2615(00)00021-7
[13]	LIU Ke, SHEN Jian-jun, YANG Chang-hong. Model and application of taxi programming in cities[J]. Mathematics in Practice and Theory, 2006, 36 (7): 141-150. (in Chinese). doi: 10.3969/j.issn.1000-0984.2006.07.014
[14]	SCHALLER B. Elasticity for taxicab fares and service availability[J]. Transportation, 1999, 26 (3): 283-297. doi: 10.1023/A:1005185421575