National Technical University of Athens, Department of Transportation Planning and Engineering, Greece.
Accid Anal Prev. 2016 Jul;92:139-52. doi: 10.1016/j.aap.2016.03.022. Epub 2016 Apr 8.
In this paper, an integrated methodology for the analysis of pedestrian behaviour and exposure is proposed, allowing to identify and quantify the effect of pedestrian behaviour, road and traffic characteristics on pedestrian risk exposure, for each pedestrian and for populations of pedestrians. The paper builds on existing research on pedestrian exposure, namely the Routledge microscopic indicator, proposes adjustments to take into account road, traffic and human factors and extends the use of this indicator on area-wide level. Moreover, this paper uses integrated choice and latent variables (ICLV) models of pedestrian behaviour, taking into account road, traffic and human factors. Finally, a methodology is proposed for the integrated estimation of pedestrian behaviour and exposure on the basis of road, traffic and human factors. The method is tested with data from a field survey in Athens, Greece, which used pedestrian behaviour observations as well as a questionnaire on human factors of pedestrian behaviour. The data were used (i) to develop ICLV models of pedestrian behaviour and (ii) to estimate the behaviour and exposure of pedestrians for different road, traffic and behavioural scenarios. The results suggest that both pedestrian behaviour and exposure are largely defined by a small number of factors: road type, traffic volume and pedestrian risk-taking. The probability for risk-taking behaviour and the related exposure decrease in less demanding road and traffic environments. A synthesis of the results allows to enhance the understanding of the interactions between behaviour and exposure of pedestrians and to identify conditions of increased risk exposure. These conditions include principal urban arterials (where risk-taking behaviour is low but the related exposure is very high) and minor arterials (where risk-taking behaviour is more frequent, and the related exposure is still high). A "paradox" of increased risk-taking behaviour of pedestrians with low exposure is found, suggesting that these pedestrians may partly compensate in moderate traffic conditions due to their increased walking speed.
本文提出了一种综合的行人行为和暴露分析方法,允许识别和量化行人行为、道路和交通特征对每个行人和行人群体的风险暴露的影响。本文基于现有的行人暴露研究,即 Routledge 微观指标,提出了一些调整,以考虑道路、交通和人为因素,并将该指标扩展到区域范围。此外,本文还使用了考虑道路、交通和人为因素的行人行为综合选择和潜在变量(ICLV)模型。最后,提出了一种基于道路、交通和人为因素综合估计行人行为和暴露的方法。该方法在希腊雅典的实地调查数据上进行了测试,该调查使用了行人行为观察和行人行为人为因素问卷。这些数据用于 (i) 开发行人行为的 ICLV 模型,以及 (ii) 估计不同道路、交通和行为情景下的行人行为和暴露。结果表明,行人行为和暴露在很大程度上由少数因素决定:道路类型、交通量和行人冒险行为。冒险行为的概率和相关暴露在要求较低的道路和交通环境中降低。对结果的综合分析可以增强对行人行为和暴露之间相互作用的理解,并确定风险暴露增加的条件。这些条件包括主要城市干道(冒险行为较低,但相关暴露非常高)和次要干道(冒险行为更为频繁,相关暴露仍然很高)。发现行人低暴露时冒险行为增加的“悖论”,这表明这些行人在中等交通条件下可能会由于行走速度的增加而部分补偿。