The tolerable waiting time: A generalized Pareto distribution model with empirical investigation

Xiong, Hui; Ma, Lu; Ning, Mengxi; Zhao, Xu; Weng, Jinxian

doi:10.1016/j.cie.2019.106019

Cited by 5 publications

(3 citation statements)

References 48 publications

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“…Pedestrians were more likely to violate conventionaltype signals than countdown-type signals [17]. Pedestrians in China were more likely to violate conventional-type signals than countdown-type signals [17]. Furthermore, as opposed to no countdown display, the countdown signals are conducive to lowering the violation rate [18].…”

Section: Introductionmentioning

confidence: 97%

“…A countdown display decreases the total number of violations by a statistically significant amount [16]. Pedestrians were more likely to violate conventionaltype signals than countdown-type signals [17]. Pedestrians in China were more likely to violate conventional-type signals than countdown-type signals [17].…”

Section: Introductionmentioning

confidence: 97%

“…Personality, education, and profession were among the human characteristics examined. Other significant external factors included traffic rules and regulations, signal type, trip purpose, weather conditions, and lighting conditions [17,19]. It seems that pedestrians are more willing to wait for the traffic signal in darkness [9,20].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Contributing Factors in Pedestrians Waiting Time at Signalized Intersections Using Survival Analysis

Hashemi¹,

Bargegol²,

Hamedi³

2022

CRPASE

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Recognizing elements that determine pedestrian waiting time is important when designing intersection implications in order to reduce violations and their repercussions. The goal of this study is to investigate these influencing elements. To achieve this purpose, data from 1116 pedestrians was collected at three signalized intersections with various signal types and land uses. The T-test is performed to see if there are any significant differences between sets of variables. The value of factors and the decision-making process of pedestrians are determined using Survival Analysis. Pedestrians' waiting time is affected by the type of median, arrival time, land use, and gender (according to survival analysis model). An effective median design, based on field observations and findings, could have a considerable impact on pedestrians' willingness to wait for a safe crossing during the red phase. The findings of this study will aid in improving the safety of intersections by providing a better understanding of the most vulnerable road users' behavior.

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Section: Introductionmentioning

confidence: 97%