应用混合二进制混合logit方法研究无信号交叉口行人过街安全性
Applied hybrid binary mixed logit to investigate pedestrian crossing safety at midblock and unsignalized intersection
摘要:
行人从十字路口或中间街区的无信号位置过马路是一个危险的决定,可能导致致命的事故。尽管决定接受一个安全的间隙过马路是个人的选择,研究这一现象及其影响变量是至关重要的事故分析和交通安全调查。在本文中,我们使用录像数据来研究行人间隙接受行为在无信号交叉口和中间块设施在德黑兰,伊朗。多因素方差分析表明,性别和儿童陪伴的同时效应对接受差距和等待时间的影响最大。此外,拒绝差距数主要受儿童陪伴状况的影响。对临界间隙的调查表明,总体上无信号交叉口和女性交叉口的临界间隙较大。我们定义了一个潜在的变量命名为谨慎行为的基础上的一些可观察的指标,并使用结构方程模型估计,并作为一个输入的二元混合logit模型。该变量在间隙接受决策中非常重要。尽管在以往的间隙接受研究中使用了结构方程和logit模型,但据我们所知,这是第一次使用混合混合logit建模方法在这一领域,我们开发了一种新的方法,结合心理和行为方面的行人间隙接受研究。建模方法显示行人的决定接受或拒绝的差距,高度影响当前差距的大小,谨慎的行为和等待时间。
英文摘要:
Pedestrian's crossing from unsignalized locations at intersections or midblock locations is a risky decision that could lead to fatal accidents. Despite making a decision to accept a safe gap to cross the street is a personal choice, studying this phenomena and its affecting variables are crucial for accident analysis and traffic safety investigations. In this paper we used video taped data to study pedestrian gap acceptance behavior at an unsignalized intersection and a midblock facility in Tehran, Iran. Multi way ANOVA test indicates simultaneous effect of gender and child accompaniment have the highest effect on size of accepted gap and waiting time. In addition, number of rejected gap is mostly affected by the child accompaniment status. Investigation about critical gap shows in general, critical gap was bigger at unsignalized intersection and for women. We defined a latent variable named caution behavior based on some observable indicators and using structural equation modeling it was estimated and used as an input in a binary mixed logit model. This variable identified important in gap acceptance decision. Despite both structural equation and logit models are used in previous gap acceptance studies, but according to our best knowledge this is the first use of the hybrid mixed logit modeling approach in this field and we developed a new methodology to combine psychological and behavioral aspects of pedestrians' gap acceptance studies. Modeling approach shows pedestrian decision regarding acceptance or rejection of a gap to be highly influenced by the size of current gap, caution behavior and waiting time.
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