基于随机理论的公交路径选择建模
Modeling of Path Choice via Public Transit Based on the Random Theory
DOI: 10.12677/MOS.2018.73021, PDF,    科研立项经费支持
作者: 梁嘉贤*, 丘建栋：深圳市城市交通规划设计研究中心有限公司，深圳；潘嘉杰：广东省交通信息工程技术研究中心，深圳
关键词: 公交路径选择；感知效用；行为信息处理；参数标定；Transit Path Choice Models； Perceived Utility； Behavioral Information Processing； Parameter Calibration
摘要: 基于分层信息处理思想，运用随机理论框架下的公交路径选择模型，分析出行者在时空维度下的站点选择和公交车选择行为。以从广州市体育中心BRT站点到东圃镇BRT站点为例(共8条直达线路)，利用IC卡数据和车辆报站数据对公交车感知效用函数进行参数标定和检验，结果表明，在对舒适度进行分层处理的情况下，候车时间、搭乘时间、站点舒适度、车内舒适度和搭乘线路经验均对公交路径选择具有显著性影响。
Abstract: The paper presents the analysis of the stop choice and bus choice behaviors in space-time dimen-sion using the public transit path choice model under the framework of random utility models, based on the idea of hierarchical information processing. The parameters of the perceived utility function of bus choice are calibrated and tested from TIYUZHONGXIN BRT stop to DONGPUZHEN BRT stop (8 direct routes) in Guangzhou with IC data and bus arriving data in case study. The result shows that waiting time, on-board time, comfortable at stop, comfortable at bus and the on-board experience are statistically significant in bus choice model under the hierarchical processing of degree of comfort.
文章引用：梁嘉贤, 丘建栋, 潘嘉杰. 基于随机理论的公交路径选择建模[J]. 建模与仿真, 2018, 7(3): 173-181. https://doi.org/10.12677/MOS.2018.73021

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