Factors influencing pedestrians’ decision to cross the road by risky rolling gap crossing strategy at intersections in Dhaka, Bangladesh

Zafri, Niaz Mahmud; Sultana, Rashada; Himal, Md. Rakibul Hasan; Tabassum, Tanzila

doi:10.1016/j.aap.2020.105564

Cited by 30 publications

(22 citation statements)

References 32 publications

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“…Regarding crosswalks with timers, there is an approximately regular trend of decreasing the tendency towards the crossings during the clearance time with the increase of pedestrian age, which is consistent with the results reported by Zhuang et al [6]. Zafri et al [39] reached similar conclusions in terms of older pedestrians who have a lower tendency towards risky rolling gap crossings.…”

Section: Contributing Factors Affecting the Decision Of Pedestrians Onsupporting

confidence: 90%

The Impact of Uncertainty on Pedestrians’ Decision to Start Roadway Crossing during the Clearance Phase

et al. 2021

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Clearance phase at signalized crosswalks is an important parameter of pedestrians’ safety because it helps them to complete the crossing before the green signal for vehicles. However, there is the issue of pedestrian decision as to whether to cross if they arrive at the crosswalk during the clearance phase, which represents a violation in many countries. Due to the proof that pedestrian violations multiply the risk of traffic accidents, in this study, the tendency of pedestrians to commit violations during the clearance time has been researched. With the aim of proposing the design of the pedestrian traffic lights, which could decrease the frequency of pedestrian violations, the comparison of pedestrians behaviour at crosswalks with and without a countdown timer during the clearance time was made, based on the data collected in the video recording. Chi square independency test showed that there is a statistically significant difference in the behaviour of pedestrians during the clearance time, depending on the existence of the timer, as well as the fact that pedestrians behave in a safer manner if there is no clearance time shown on the timer. The total delay rate on the roadway during the red signal, which was the consequence of starting the crossing during the clearance time or subsequent violations, was 1.3 times higher at the crosswalks with the countdown timer. This research was unique because for the first time, two-phase pedestrian crossings on the roadway with the median refuge island in the sense of clearance time were analysed, in spite of the previous proof that pedestrians are more likely to commit violations during the red signal in that kind of roadway. Another novelty in the research was pedestrians following till the end of crossing, due to the possibility of subsequent violations. With the means of binary logistic regression, different factors which affect pedestrians’ behaviour during the clearance time have been determined and they differ depending on the existence of the timer. At the pedestrian crosswalks with the timer, contributing factors have been determined, such as gender, the number of waiting pedestrians, distractions, arrival time, and age. If there is no timer, the contributing factors are the following: the number of crossing pedestrians, distractions, group, position of pedestrians in relation to the vehicle, the number of traffic lanes, and age. Based on the obtained results, a new design of the pedestrian traffic lights was proposed.

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Section: Contributing Factors Affecting the Decision Of Pedestrians Onsupporting

confidence: 90%

The Impact of Uncertainty on Pedestrians’ Decision to Start Roadway Crossing during the Clearance Phase

et al. 2021

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“…Recently, there is a growing interest in analyzing pedestrian crossing behavior at urban crosswalks. Several previous studies demonstrated the importance of analyzing pedestrian crossing behavior for improving traffic safety ( 21 , 22 ). Pedestrians have a high risk of being involved in crashes while crossing streets as the risk of pedestrians interacting with vehicles is higher than in ordinary walking spaces.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling Pedestrian Temporal Violations at Signalized Crosswalks: A Random Intercept Parametric Survival Model

Liu

Alsaleh

Sayed

2022

Transportation Research Record

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This study aims to model pedestrian temporal violation behavior at signalized crosswalks. Video data of pedestrian crossing behavior were collected from three locations in China and were used to investigate the effect of several factors on pedestrian temporal violation behavior. The temporal violation behavior was analyzed using the relationship between pedestrian waiting duration and their endurance probabilities. A fully parametric duration model with Weibull distribution was used to model the temporal violation behavior, and the cluster-specific heterogeneity among the three study sites was accounted for using random intercepts. Six variables were identified to significantly affect the violation behavior: pedestrian gender and phone distraction status, location type, pedestrian volume, day of the week, and time of the day. The results show that pedestrians are likely to disobey traffic regulations when there are longer waiting durations. Male pedestrians have a higher violation tendency than females. Pedestrians distracted by their phones have longer waiting durations than undistracted pedestrians. Signalized road segment crosswalks are associated with higher temporal violation propensity than signalized intersection crosswalks. Pedestrians are more likely to commit violations at higher pedestrian densities. Weekdays are associated with shorter waiting durations and higher violation tendency than weekends. Pedestrians are more likely to violate traffic regulations in the morning than at midday and in the evening. These findings give insights into the pedestrian crossing behavior to better accommodate pedestrians and improve safety.

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“…In the study of pedestrian crossing behavior, in order to analyze conformity in pedestrians' violation of crossing behavior, structural characteristics and evolution rules of pedestrian networks were studied by using the theory of network [10]. At the same time, someone aimed at the factors influencing pedestrians' decisions to cross the road [11]. Wang et al used the machine vision intelligent algorithm to analyze the yielding behavior of three types of vehicles under the "pedestrian priority" policy [12], moreover, they proposed a dynamic decision model of jaywalking for pedestrians based on the extended decision field theory [13].…”

Section: Introductionmentioning

confidence: 99%

Human-Vehicle Intersection Traffic Lights Timing Optimization Research

Wen

Zhang

Huang

et al. 2022

Journal of Advanced Transportation

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The purpose of this research is to find a traffic light timing optimization scheme. During the research, an intersection between Xi’an Mingguang road and the Fourth FengCheng road was chosen to analyze the crossing time distribution of pedestrians who were separated from west-to-the-right-turn vehicles during which the method of breaking off both ends of pedestrian green light signals was used. The VISSIM software was used for traffic simulation, aimed at improving traffic volume and right-turning vehicle average speed for less vehicle queuing delays, less human-vehicle conflicts, and better security for pedestrians without excessive interruption on their street crossing efficiency. The optimal scheme is obtained and the result shows that (1) the number of passing vehicles remains unchanged, with the queuing delay reduced by 5.78% and crosswalk passing speed increased by 19.01% compared with the original one. (2) As the scheme effect is positively correlated with the increase of right turn vehicle numbers, the scheme could be adopted for urban traffic management based on the local situation, which is not only in peak traffic hours but also in the flat peak time to ensure vehicle efficiency and pedestrian safety in the light of “vehicle yielding to pedestrians” regulation. (3) The scheme could also be adopted in cities with no “vehicle yielding to pedestrians” policy for both people-vehicle separation and pedestrian safety when crossing streets.

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Factors influencing pedestrians’ decision to cross the road by risky rolling gap crossing strategy at intersections in Dhaka, Bangladesh

Cited by 30 publications

References 32 publications

The Impact of Uncertainty on Pedestrians’ Decision to Start Roadway Crossing during the Clearance Phase

The Impact of Uncertainty on Pedestrians’ Decision to Start Roadway Crossing during the Clearance Phase

Modeling Pedestrian Temporal Violations at Signalized Crosswalks: A Random Intercept Parametric Survival Model

Human-Vehicle Intersection Traffic Lights Timing Optimization Research

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