基于Eqasim模型的城市交通出行仿真建模及分析

Urban Transport Simulation and Travel Behavior Analysis Based on Eqasim

为研究城市交通出行过程中个体的出行选择,对出行行为分析,利用手机信令数据生成出行需求,建立Eqasim模型。以上海市为研究对象,通过离散模式选择(Discrete Mode Choice,DMC)拓展模块将多项式逻辑模型(Multinomial Logit,MNL)嵌入到Eqasim模型框架中,并为各方式制定费用模型,使个体实现出行路径和方式选择。结果表明,手机信令数据能够生成高质量的需求数据,通过构建Eqasim模型,可以模拟个体出行全过程,并在多因素下模拟个体的出行选择。分析可知,相较于小汽车,用户在出行距离相似的情况下更偏向于选择公共交通出行。远距离出行时,公共交通联程出行可以极大地减少步行距离,降低出行费用。基家通勤出行的比例最高,并呈现明显的早晚高峰,而午高峰是由不受时间约束的非通勤出行产生的。

In order to study the individual travel choices in the travel process of urban transportation and to analyze the travel behavior,the Eqasim model is established using mobile phone signaling data as the travel demand.Shanghai is taken as the case study.The MNL(Multinomial Logit)model is embedded into the Eqasim framework through the DMC(Discrete Mode Choice)extended module.The travel cost models are developed for each travel mode so that individuals can realize travel route choice and mode choice.The results show that the mobile phone signaling data can generate high quality travel demand data,and through the construction of Eqasim model,individuals travel behavior can be simulated.And travel choice can be achieved under multiple impact factors.The analysis shows that users prefer to choose public transport compared to cars for similar travel distances.For long-distance trips,joint public transport can significantly reduce walking distance and travel costs.In addition,home-based commuting trips have the highest share and show significant morning and evening peaks,while the noon peak is caused by unconstrained non-commuting trips.