不同市场策略下的定制公交定价问题

doi:10.16088/j.issn.1001-6600.2018.02.002

Abstract

Abstract: Customized bus is a new type of transportation tool, the pricing strategy has important significance to improve the city traffic. Based on the urban traffic network which includes cars, buses, customized city bus, the bi-level programming model is established to study customized bus pricing problem. The upper model is constructed with the objective of maximizing enterprise profit and system optimization, and the lower model is the equivalent of the multimode stochastic user equilibrium model. Genetic algorithm(GA) and sequential quadratic programming (SQP) algorithm are used to determine a optimal model. To verify the applicability of the model, a simple road network is built as an example. The results show that compared with the existing system, the optimal pricing strategy aimed enterprise profit maximization can improve corporate earnings, but add the system total cost and reduce the bus share rate.

Key words: urban traffic, customized bus, bi-level programming model, pricing, market strategy, public transport system

CLC Number:

U491

HUANG Weiqi, JIN Wenzhou, HUANG Jingxiang, HAN Bowen. Pricing Problem of Customized Bus under Different Market Strategies[J].Journal of Guangxi Normal University(Natural Science Edition), 2018, 36(2): 8-17.

References

[1] 徐康明,李佳玲,冯浚,等.定制公交服务初探[J].城市交通,2013,11(5):24-27.DOI: 10.13813/j.cn11-5141/u.2013.05.009.
[2] QIU Feng,LI Wenquan,HAGHANI A.A methodology for choosing between fixed-route and flex-route policies for transit services[J]. Journal of Advanced Transportation, 2015, 49(3):496-509.DOI: 10.1002/atr.1289.
[3] ALSHALALFAH B W. Planning, design and scheduling of flex-route transit service[D].Toronto:University of Toronto, 2010.
[4] DIANA M,QUADRIFOGLIO L,PRONELLO C.Emissions of demand responsive services as an alternative to conventional transit systems[J].Transportation Research Part D:Transport & Environment, 2007,12(3):183-188.DOI: 10.1016/j.trd.2007.01.009.
[5] SANDLIN A,ANDERSON M.Serviceability index to evaluate rural demand-responsive transit system operations[J]. Transportation Research Record:Journal of the Transportation Research Board,2004,1887:205-212.DOI:10.3141/ 1887-23.
[6] 林青.定制公交服务的评价指标及模型研究:以北京市为例[J].调研世界,2016(2):46-49.DOI:10.13778/j.cnki.11-3705/c.2016.02.009.
[7] 卢小林,张娴,俞洁,等.灵活型定制公交系统综合评价方法研究[J].公路交通科技,2015,32(5):135-140.DOI:10.3969/j. issn.1002-0268.2015.05.022.
[8] 徐扬,戴丛蔚,罗晶,等.大规模个性化公交定制研究[J].管理现代化,2016(1):67-69.DOI: 10.3969/j.issn.1003-1154.2016. 01.022.
[9] 安健,姚广铮,孙玲,等.北京市定制商务班车乘客支付意愿研究[J].城市交通,2015,13(2):63-71.DOI:10.13813/ j.cn11-5141/u.2015.0210.
[10] 黄琦.基于双层规划模型的定制公交票价制定研究[D].成都:西南交通大学,2016.
[11] 巫威眺,靳文舟,魏明,等.配合区间车的单线公交组合调度模型[J].华南理工大学学报(自然科学版),2012,40(11): 147-154.DOI:10.3969/j.issn.1000-565X.2012.11.022.
[12] 邵敏华,李田野,孙立军.常规公交乘客对车内拥挤感知阻抗调查与建模[J].同济大学学报(自然科学版),2012, 40(7):1031-1034.DOI: 10.3969/j.issn.0253-374x.2012.07.012.
[13] 周溪召,阴志强.多模式变需求网络随机平衡模型[J].系统工程理论方法应用,2002,11(1):25-31.DOI:10.3969/j.issn.1005-2542.2002.01.006.
[14] SI Bingfeng, LONG Jianceng,GAO Ziyou.Optimization model and algorithm for mixed traffic of urban road network with flow interference[J]. Science in China Series E: Technological Sciences,2008,51(12):2223-2232.DOI:10.1007/ s11431-008-0248-9.
[15] MOHRING H.Optimization and scale economies in urban bus transportation[J].American Economic Review,1972, 62(4):591-604.
[16] 乐美龙,高金敏.轮辐式航线网络下机型分配与舱位控制的协同优化研究[J].广西师范大学学报(自然科学版),2014, 32(3):33-40.DOI:10.16088/j.issn.1001-6600.2014.03.030.
[17] 吕彪,蒲云,刘海旭.基于遗传算法的随机路网次优拥挤收费模型[J].计算机工程,2013,39(8):257-261.DOI: 10.3969/j.issn.1000-3428.2013.08.056.
[18] 聂伟,邵春福,杨励雅,等.混合交通网络设计的双层模型及遗传算法求解[J].土木工程学报,2007,40(8):90-93.DOI: 10.15951/j.tmgcxb.2007.08.004.
[19] 刁勤华,默哈莫德·夏班,倪以信.运用连续二次规划法计算区域间极限传输容量[J].电力系统自动化,2000(24):5-8. DOI:10.3321/j.issn:1000-1026.2000.24.002.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

Pricing Problem of Customized Bus under Different Market Strategies

PDF (PC)

Abstract

Cite this article

share this article

References

Related Articles 5

Metrics

Comments

Recommended 0

[1]	XU Jianmin, WEI Jia, SHOU Yanfang. Comprehensive Evaluation of Urban Road Traffic Operation StatusBased on Game Theory-Cloud Model [J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(4): 1-10.
[2]	LÜ Panlong,WENG Xiaoxiong, PENG Xinjian. Public Traffic Passenger Recognition Based on Differential Evolution Algorithm SVM [J]. Journal of Guangxi Normal University(Natural Science Edition), 2019, 37(1): 106-114.
[3]	HU Yucong, CHEN Xu, LUO Jialing. Network Design Model of Customized Bus in Diversified Operationof Multi-origin-destination and Multi-type Vehicle Mixed Load [J]. Journal of Guangxi Normal University(Natural Science Edition), 2018, 36(4): 1-11.
[4]	YANG Xiangjun,YANG Shanchao. Applications and Tests of a Capital Asset Pricing Model in Chinese ShanghaiStock Market: Based on the Method of Industry Group [J]. Journal of Guangxi Normal University(Natural Science Edition), 2017, 35(4): 49-57.
[5]	LE Mei-long, GAO Jin-min. Coordinated Optimization Model for Air Fleet Assignment and Seat Inventory Control Under Hub-and-Spoke Route Network [J]. Journal of Guangxi Normal University(Natural Science Edition), 2014, 32(3): 33-40.