Modeling violation of Hawaii's crosswalk law.

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.

[1]  Dominique Lord,et al.  Analysis of Pedestrian Conflicts with Left-Turning Traffic , 1996 .

[2]  Karl Kim,et al.  Modeling Fault Among Bicyclists and Drivers Involved in Collisions in Hawaii, 1986-1991 , 1996 .

[3]  M. Baltes Descriptive Analysis of Crashes Involving Pedestrians in Florida, 1990–1994 , 1998 .

[4]  Eric Yamashita,et al.  Click It or Ticket: Boosting Seat Belt Use in Hawaii , 2003 .

[5]  Eric Yamashita,et al.  Using a K-means clustering algorithm to examine patterns of pedestrian involved crashes in Honolulu, Hawaii , 2007 .

[6]  Stephen E. Fienberg,et al.  The analysis of cross-classified categorical data , 1980 .

[7]  Eric Yamashita,et al.  Motor Vehicle Crashes and Land Use: Empirical Analysis from Hawaii , 2002 .

[8]  Irit Hocherman,et al.  SAFETY OF PEDESTRIAN CROSSINGS AT SIGNALIZED INTERSECTIONS , 1987 .

[9]  Ross H Day,et al.  Crossing roads safely: an experimental study of age differences in gap selection by pedestrians. , 2005, Accident; analysis and prevention.

[10]  Lei Li,et al.  DRIVERS AT FAULT: INFLUENCES OF AGE, SEX, AND VEHICLE TYPE , 1998 .

[11]  L Laflamme,et al.  Social differences in traffic injury risks in childhood and youth—a literature review and a research agenda , 2000, Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention.

[12]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .

[13]  L Li,et al.  Personal and behavioral predictors of automobile crash and injury severity. , 1995, Accident; analysis and prevention.

[14]  M. Hamed Analysis of pedestrians’ behavior at pedestrian crossings , 2001 .