Analysis of pedestrians’ behavior at pedestrian crossings

Hamed, Mohammad M.

doi:10.1016/s0925-7535(00)00058-8

Cited by 359 publications

(191 citation statements)

References 11 publications

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“…In other studies (e.g. Hamed (2001), Ahuja et al (2005)), it is found that elderly and/or female pedestrians tend to be more law-abiding. In addition, pedestrians tend not to accept higher risk if they involved in a traffic accident in the past, or they are accompanied by children, or they have heavy luggage, or their mobility is impaired.…”

Section: Introductionmentioning

confidence: 76%

“…), education level of a pedestrian, physical restriction on mobility, past experience involving road accidents (see, e.g. Hamed (2001), Ahuja et al (2005)). …”

Section: Notationmentioning

confidence: 99%

“…Their surveys involved several different research issues including: (a) which particular group of pedestrians tends to be risk takers; and (b) for how long on average they intend to wait. Hamed (2001), Tiwari et al (2007), and Wang et al, (2011), on the other hand, focused on one particular facet of the problem, i.e. the waiting time, with a more sophisticated analytical approach.…”

Section: Introductionmentioning

confidence: 99%

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A bilevel model for multivariate risk analysis of pedestrians’ crossing behavior at signalized intersections

2014

Transportation Research Part B: Methodological

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Pedestrians who cross streets during the red-man phase of traffic light signals expose themselves to safety and health hazards and hence are considered to be at risk. Pedestrians' street-crossing behavior is in general the outcome of interaction between pedestrians and vehicles: the gaps between vehicles provide an opportunity for pedestrians to cross the street, and pedestrians may or may not accept the street-crossing risk during the red-man phase. In this paper, we propose a multivariate method to investigate pedestrians' risk exposure associated with unsafe crossings. The proposed method consists of two hierarchically interconnected generalized linear models that characterize two different facets of the unsafe crossing behavior. It gauges pedestrians' attitudes toward risk-taking and also measures the impact of potential risk factors on pedestrians' intended waiting times during the red-man phase of the traffic lights. A Bayesian approach with the data augmentation method is used to draw statistical inference for the parameters associated with risk exposure. The proposed method is illustrated using field traffic data.

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Section: Introductionmentioning

confidence: 76%

“…), education level of a pedestrian, physical restriction on mobility, past experience involving road accidents (see, e.g. Hamed (2001), Ahuja et al (2005)). …”

Section: Notationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A bilevel model for multivariate risk analysis of pedestrians’ crossing behavior at signalized intersections

2014

Transportation Research Part B: Methodological

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“…Future research could also address the effect of age, gender, FOF and other relevant variables on other aspects of crossing behaviour, such as the choice of crossing location (i.e., where a pedestrian is more likely to cross) or their potential contribution to gap-acceptance theory (Hamed, 2001;Manuszac et al, 2005;Lassarre et al, 2007).…”

Section: Resultsmentioning

confidence: 99%

Pedestrians’ behaviour in cross walks: The effects of fear of falling and age

Avineri

Shinar

Susilo

2012

Accident Analysis & Prevention

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“…Assailly (1993) proposed that time wasting might contribute to impatience and increased risk taking. For Hamed (2001), when waiting time increases, pedestrians are more likely to accept higher risk by forcing approaching vehicles to brake. According to Kittelson and Vandehey (1991), the size of the accepted gap decreases particularly when a crossable gap is previously missed.…”

Section: Introductionmentioning

confidence: 99%

The effects of age and traffic density on street-crossing behavior

Lobjois¹,

Benguigui

Cavallo³

2013

Accident Analysis & Prevention

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Please cite this article as: Lobjois, R., Benguigui, N., Cavallo, V., The effects of age and traffic density on street-crossing behavior, Accident Analysis and Prevention (2010), doi:10.1016/j.aap.2012 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. A c c e p t e d M a n u s c r i p t AbstractPast research has shown that road users accept shorter time gaps when the waiting time/number of vehicles they let pass before attempting to merge into the traffic increases.While elderly pedestrians are known to be an extremely vulnerable group of road users, very few studies dealt with the effect of environmental constraints and crossing complexity on this population's safety. The present study aimed at determining whether or not street-crossing decisions and behavior of younger and older pedestrians were differently affected by a traffic flow. In an interactive street-crossing task, we assessed whether mean time gap and crossing decisions depended on the position of the gap pedestrians selected into the traffic stream.Results revealed that irrespective of their age pedestrians accepted a smaller time gap when they chose the second interval of the traffic compared to the first one. Contrasting with previous hypotheses, this traffic-related behavior was not accompanied by an increase in the decisions risk. The findings also showed that the transition threshold from rejecting to accepting time gaps was shorter when the second interval was selected compared to the first one. This increment in task constraints might help younger and older pedestrians alike to perceive action possibilities more accurately and to be better attuned to traffic conditions by comparing gaps between each other. This opens an interesting perspective in the understanding and the training of the ability of elderly road users to remain accurate in their judgements.

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Analysis of pedestrians’ behavior at pedestrian crossings

Cited by 359 publications

References 11 publications

A bilevel model for multivariate risk analysis of pedestrians’ crossing behavior at signalized intersections

A bilevel model for multivariate risk analysis of pedestrians’ crossing behavior at signalized intersections

Pedestrians’ behaviour in cross walks: The effects of fear of falling and age

The effects of age and traffic density on street-crossing behavior

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