摘要
近年来,由于一些新型交通服务的出现与迅速发展,多模式公交网络包含了更多的交通模式.定制公交作为一种创新的公共交通服务,在中国许多城市引起了人们的广泛关注.针对包含定制公交的多模式公交网络,本文提出了基于活动的模型以模拟出行者的活动与出行行为.本模型探究了由于定制公交的出现,人们在多模式公交网络中的行为决策变化,并采用了超级网络以同时模拟用户的活动与出行行为.为研究定制公交的容量约束与预约机制,在模型中有效模拟了用户的逐日学习与调整过程.本文通过实例验证了所提出模型的有效性,结果显示,定制公交的运营显著影响了出行者的活动与出行行为.
In recent years,emerging mobility services are developed rapidly which make people face a wide range of transport modes in multi-modal transit networks.As an innovative mode of public transit,customized bus(CB)services attract increasing attention in many cities of China.In this paper,an activity-based model is proposed for scheduling individuals’daily activity-travel patterns(DATPs)in multi-modal transit networks with the emerging CB services.The change of individuals’activity and travel choice behavior is investigated after CB services are introduced in multi-modal transit networks.A super-network platform is adopted to simultaneously consider individuals’activity and travel choices.To describe the CB subscription process considering capacity constraint,a day-to-day learning and adjustment process is incorporated in the proposed model.A numerical example is conducted to illustrate the proposed model.The results show that the operation of CB significantly impact individuals’DATP choices.
作者
付晓
顾宇
刘志远
FU Xiao;GU Yu;LIU Zhi-yuan(School of Transportation,Southeast University,Nanjing 210096,China)
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2019年第4期20-27,共8页
Journal of Transportation Systems Engineering and Information Technology
基金
国家自然科学基金(71601045)
江苏省自然科学基金(BK20160676)
江苏省“六大人才高峰”高层次人才项目(RJFW-006)~~
关键词
综合交通运输
活动与出行决策
网络建模
多模式公交网络
逐日学习与调整
定制公交服务
integrated transportation
activity and travel choice behavior
network modeling
multi-modal transit network
day-to-day learning and adjustment
customized bus services