期刊文献+

随机边界模型在出行时间分析中的应用研究

Application of Stochastic Frontier Model in Travel Time Analysis
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摘要 以居民出行调查数据为来源,对通勤者和非通勤者分别建立出行时间模型,分析两类出行者出行时间的分布规律,比较其出行时间对各类影响因素的不同响应程度.研究表明,随机成本边界模型的组合误差结构为研究个体出行时间差异提供了很好的分析手段,能为交通规划和管理工作提供依据. Travel time frontier models are established for commuters and non-commuters using travel survey data.Model estimation results showed that work activity made travel time pattern of commuters quite different from that of the commuters and that travel time frontiers of the two kinds of travelers had different sensitivity to those influence factors in the model.The notion of minimum travel time provides a powerful framework for estimating the potential capability of a transportation plan or measurement in reducing travel demand from an activity-based time use allocation perspective.And the combination structure of the random effect in the stochastic cost frontier model presents a useful tool for the analysis of individual travel time variation.
出处 《武汉理工大学学报(交通科学与工程版)》 2010年第6期1100-1103,1107,共5页 Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金 国家863计划项目(批准号:2007AA11Z203) 国家科技支撑计划项目(批准号:2006BAJ18B02)资助
关键词 出行时间 随机成本边界函数 通勤者 非通勤者 travel time stochastic cost frontier model commuter non-commuter
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参考文献11

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