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作 者:钱丙益[1] 帅斌[1] 陈崇双[2] 李静[1] 黄丽霞[1]
机构地区:[1]西南交通大学交通运输与物流学院,四川成都610031 [2]西南交通大学数学学院,四川成都610031
出 处:《铁道学报》2013年第8期10-15,共6页Journal of the China Railway Society
基 金:国家自然科学基金(71173177;51108390);教育部人文社会科学研究青年基金(11YJCZH154)
摘 要:基于旅客buy-up行为,探讨铁路客运专线收益管理问题。假定客运专线每个OD有一等票和二等票两种等级车票,在旅客buy-up概率已知条件下,以各OD两种车票的嵌套式预订限制为决策变量,建立一个带约束的非线性整数规划模型,并利用粒子群算法进行求解。算例结果表明:随着旅客buy-up概率的增大,二等票的预订限制逐渐减小,而客运专线总期望收益逐渐增加。Revenue management of dedicated passenger railway line was explored on the basis of passengers' buy-up behavior. It was assumed that each itinerary has two kinds of tickets: the first class ones and second class ones. Taking the probability of passengers~ buy-up behaviour as known conditions and the nested booking limits of the two classes of tickets of each itinerary as decision variables, the constrained nonlinear integer pro- gramming model was established and solved by the particle swarm algorithm. Numerical example results show that along with raizing of the probability of passengers buy-up behavior,the nested booking limits of the sec- ond class tickets reduce gradually and the expected total revenues of the dedicated passenger railway line in- crease gradually. The effectiveness of the model is proved in practice.
关 键 词:客运专线 收益管理 旅客buy-up行为 预订限制 粒子群算法
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