Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97429
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorZhu, Den_US
dc.creatorSze, NNen_US
dc.date.accessioned2023-03-06T01:18:25Z-
dc.date.available2023-03-06T01:18:25Z-
dc.identifier.issn0001-4575en_US
dc.identifier.urihttp://hdl.handle.net/10397/97429-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2020 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Zhu, D., & Sze, N. N. (2021). Propensities of red light running of pedestrians at the two-stage crossings with split pedestrian signal phases. Accident Analysis & Prevention, 151, 105958 is available at https://dx.doi.org/10.1016/j.aap.2020.105958.en_US
dc.subjectObservation surveyen_US
dc.subjectPedestrian safetyen_US
dc.subjectRandom parameter logit modelen_US
dc.subjectRed light running violationen_US
dc.subjectTwo-stage crossingsen_US
dc.titlePropensities of red light running of pedestrians at the two-stage crossings with split pedestrian signal phasesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume151en_US
dc.identifier.doi10.1016/j.aap.2020.105958en_US
dcterms.abstractTwo-stage crossing with a median refuge island is commonly installed at the busy urban signalized intersections. To accommodate for the high traffic flow in different directions, split phasing is often applied for pedestrians’ right of way of the two crossing stages. Previous studies mainly focus on the time delay, capacity and operation efficiency of two-stage crossings. It is rare that safety of two-stage crossings is investigated. Crossing behaviors and propensities of red light running at the two crossing stages (i.e. from the curbside to a central island, and then to another side of the road) are different from that of single stage crossing. Also, there could be interferences in the crossing behaviors and situational features between the two stages. This study aims to identify the personal characteristics, traffic attributes and environmental factors that affect the red light running propensities of pedestrians at the two-stage crossings, based on the video observation surveys at six urban signal intersections in Hong Kong. Random parameter logit regression approach is applied to measure the association between possible factors and propensities of red light running of pedestrians, with which the effect of unobserved heterogeneity is accounted. Results indicate that, other than the pedestrians’ characteristics, pedestrian signal of the second stage, maximum waiting time and traffic flow significantly affect the propensity of red light running in the first stage. Also, there are significant interaction effects between pedestrians’ characteristics and situational features on the propensity. On the other hand, pedestrians’ waiting time before crossing the first stage significantly affects the propensity of red light running in the second stage. Findings are indicative to the design of pedestrian crossing, signal time plan and effective enforcement and education strategies that can deter against the red light running behaviors of pedestrians. Therefore, safety of two-stage signalized crossings can be enhanced.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAccident analysis and prevention, Mar. 2021, v. 151, 105958en_US
dcterms.isPartOfAccident analysis and preventionen_US
dcterms.issued2021-03-
dc.identifier.scopus2-s2.0-85098595873-
dc.identifier.pmid33385960-
dc.identifier.artn105958en_US
dc.description.validate202203 bcfcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-0415-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextResearch Committee of the Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS42460992-
dc.description.oaCategoryGreen (AAM)en_US
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