Pedestrian Behavior at Signalized Pedestrian Crossings

Lipovac, Кrsto; Vujanic, Milan P.; Marić, Bojan; Nešić, Miladin

doi:10.1061/(asce)te.1943-5436.0000491

Cited by 64 publications

(24 citation statements)

References 11 publications

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“…Similar Ushaped patterns were also documented in the literature (e.g. Lipovac et al, 2012). The data displayed in Figure 1 challenge the exponential distribution model, indicating that pedestrians' waiting times at signalized intersections can greatly differ from the exponential distribution and its extensions.…”

Section: Introductionsupporting

confidence: 62%

“…For instance, Keegan and O'Mahony (2003) considered the impact on pedestrians' waiting times at a signalized crossing in Dublin when a new type of countdown timer was deployed. More recently Lipovac et al (2012) have compared pedestrians' behavior with and without pedestrian countdown displays at two signalized pedestrian crossings in Bosnia and Herzegovina. Keegan and O'Mahony (2003) and Yang et al (2006) used questionnaires/interviews to investigate the factors that influence pedestrian-crossing behavior during a red-man phase.…”

Section: Introductionmentioning

confidence: 99%

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A model of pedestrians’ intended waiting times for street crossings at signalized intersections

2013

Transportation Research Part B: Methodological

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For the purposes of both traffic-light control and the design of roadway layouts, it is important to understand pedestrian street-crossing behavior because it is not only crucial for improving pedestrian safety but also helps to optimize vehicle flow. This paper explores the mechanism of pedestrian street crossings during the red-man phase of traffic light signals and proposes a model for pedestrians' waiting times at signalized intersections. We start from a simplified scenario for a particular pedestrian under specific traffic conditions. Then we take into account the interaction between vehicles and pedestrians via statistical unconditioning. We show that this in general leads to a U-shaped distribution of the pedestrians' intended waiting time. This U-shaped distribution characterizes the nature of pedestrian street-crossing behavior, showing that in general there are a large proportion of pedestrians who cross the street immediately after arriving at the crossing point, and a large proportion of pedestrians who are willing to wait for the entire red-man phase. The U-shaped distribution is shown to reduce to a J-shaped or Lshaped distribution for certain traffic scenarios. The proposed statistical model was applied to analyze real field data.

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Section: Introductionsupporting

confidence: 62%

Section: Introductionmentioning

confidence: 99%

A model of pedestrians’ intended waiting times for street crossings at signalized intersections

2013

Transportation Research Part B: Methodological

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“…The presence of countdown displays giving the time left for crossing is an effective way of providing feedback to older pedestrians. Previous studies have shown that countdown displays increase the traffic-signal compliance of older pedestrians (Lipovac et al, 2013). Overall, the time allowed by traffic lights for pedestrians to cross the street has been shown to be insufficient for most older people (Amosun et al, 2007;Asher et al, 2012;Hoxie and Rubenstein, 1994).…”

Section: Ergonomic Design Of Road Environments and Carsmentioning

confidence: 99%

Review of safety and mobility issues among older pedestrians

Tournier

Dommès²,

Cavallo³

2016

Accident Analysis & Prevention

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a b s t r a c tAlthough old people make up an extremely vulnerable road-user group, older pedestrians' difficulties have been studied less extensively than those of older drivers, and more knowledge of this issue is still required. The present paper reviews current knowledge of older-adult problems with the main components of pedestrian activity, i.e., walking and obstacle negotiation, wayfinding, and road crossing. Compared to younger ones, old pedestrians exhibit declining walking skills, with a walking speed decrease, less stable balance, less efficient wayfinding strategies, and a greater number of unsafe road crossing behaviors. These difficulties are linked to age-related changes in sensorial, cognitive, physical, and self-perception abilities. It is now known that visual impairment, physical frailty, and attention deficits have a major negative impact on older pedestrians' safety and mobility, whereas the roles of self-evaluation and self-regulation are still poorly understood. All these elements must be taken into consideration, not only in developing effective safety interventions targeting older pedestrians, but also in designing roads and cars. Recent initiatives are presented here and some recommendations are proposed.

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“…In the traffic literature, considerable attention has been paid to risk analysis for pedestrians' street crossings, as this is usually the time of intensive interaction between pedestrians and vehicles. Keegan and O'Mahony (2003), Yang et al (2006), Lipovac et al (2012), among many others, investigated pedestrians' risk exposure associated with street crossings at signalized intersections in different countries, namely Ireland, China, and Bosnia and Herzegovina. They used questionnaires/interviews to identify the factors that may influence pedestrians' street-crossing behavior during the red-man phase of traffic light signals.…”

Section: Introductionmentioning

confidence: 99%

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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Pedestrian Behavior at Signalized Pedestrian Crossings

Cited by 64 publications

References 11 publications

A model of pedestrians’ intended waiting times for street crossings at signalized intersections

A model of pedestrians’ intended waiting times for street crossings at signalized intersections

Review of safety and mobility issues among older pedestrians

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

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