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Erschienen in:

10.12.2019

Study on Pedestrian Compliance Behavior at Vehicular Traffic Signals and Traffic-Police-Controlled Intersections

verfasst von: Niaz Mahmud Zafri, Atikul Islam Rony, Neelopal Adri

Erschienen in: International Journal of Intelligent Transportation Systems Research | Ausgabe 3/2020

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Abstract

The compliance behavior of pedestrians at controlled intersections is an important determinant of the number of crashes involving pedestrians at those intersections. The objective of this study was to explore compliance behavior of the pedestrians at vehicular traffic signals and traffic-police-controlled intersections in Dhaka, Bangladesh. Two types of compliance behavior were examined: compliance with vehicular traffic signals and traffic police direction, and compliance with crosswalk. First, factors influencing each compliance behavior of pedestrians were identified from the existing literature and correlation test results. With those identified factors, two discrete choice models were developed: a multinomial logistic (MNL) model for explaining the compliance behavior with vehicular traffic signals and traffic police direction, and a binary (BLR) model for exploring the compliance behavior with crosswalk. The results of the MNL model showed that compliance behavior was significantly associated with intersection control type, gender, crossing group, baggage handling by pedestrian, and vehicle flow. Whereas, the BLR model showed that compliance with crosswalk was significantly influenced by age of the pedestrians, compliance with intersection control direction by pedestrians, and vehicle flow. These findings would help the policy-makers to take countermeasures to alleviate traffic safety related problems.

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Metadaten
Titel
Study on Pedestrian Compliance Behavior at Vehicular Traffic Signals and Traffic-Police-Controlled Intersections
verfasst von
Niaz Mahmud Zafri
Atikul Islam Rony
Neelopal Adri
Publikationsdatum
10.12.2019
Verlag
Springer US
Erschienen in
International Journal of Intelligent Transportation Systems Research / Ausgabe 3/2020
Print ISSN: 1348-8503
Elektronische ISSN: 1868-8659
DOI
https://doi.org/10.1007/s13177-019-00208-y

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