Literature DB >> 18460356

Modeling violation of Hawaii's crosswalk law.

Karl Kim1, I Made Brunner, Eric Yamashita.   

Abstract

In 2005, Hawaii strengthened its pedestrian crosswalk laws. Previously, motorists had the option yielding or slowing down at a crosswalk and had to stop "only when necessary." The new law requires drivers to stop and yield to pedestrians at crosswalks. The purpose of this study is to examine patterns of violation and compliance with the law among both pedestrians and drivers. Observational studies at crosswalks were done in the Spring of 2006. In addition to reporting on overall rates of compliance, the characteristics of both pedestrians and drivers who either violate or comply with the law are described. While pedestrian compliance is higher than that of drivers, there are interesting differences to report in terms of age, gender, type of intersection, land use, and other factors. In addition to the results of a descriptive analysis, logistic regression models predicting the likelihood of violation of the crosswalk laws by either pedestrians or drivers, as a function of their characteristics, the type of intersection, and other factors are presented. The study finds that drivers tend to commit proportionately more violations than pedestrians, and violations are committed by a broader range of drivers than pedestrians. These results suggest that education and enforcement should be directed towards drivers. Future directions for research and enhancing the safety of pedestrians are described in a concluding section.

Mesh:

Year:  2007        PMID: 18460356     DOI: 10.1016/j.aap.2007.10.004

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  2 in total

1.  Pedestrian injury and human behaviour: observing road-rule violations at high-incident intersections.

Authors:  Jonathan Cinnamon; Nadine Schuurman; S Morad Hameed
Journal:  PLoS One       Date:  2011-06-15       Impact factor: 3.240

2.  Analysis of Traffic Crashes Caused by Motorcyclists Running Red Lights in Guangdong Province of China.

Authors:  Guangnan Zhang; Ying Tan; Qiaoting Zhong; Ruwei Hu
Journal:  Int J Environ Res Public Health       Date:  2021-01-11       Impact factor: 3.390

  2 in total

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