Change in helmet use behavior enforced by CCTV cameras with automatic helmet use detection system on an urban arterial road.

OBJECTIVE: Many developing countries experience a high death toll among motorcycle users (both drivers and passengers), primarily due to a relatively low rate of helmet use resulting from ineffective helmet law enforcement. The objectives of this study are to explore the change in helmet use behavior due to helmet use enforcement by closed-circuit television (CCTV) camera technology with an automatic helmet use detection system and to identify the factors associated with helmet use along an urban arterial road in the city of Khon Kaen, Thailand. METHODS: Data collection was carried out on 49,128 samples by video cameras installed at 5 signalized intersections during 2 periods, namely, before and during the CCTV camera enforcement. The study applied logistic regression analysis to determine factors associated with helmet use and to compare the ratio of helmet use for each variable according to the odds ratio. RESULTS: The study found that CCTV camera enforcement could increase helmet usage at all study intersections by 5.3%. The results imply that 4 factors, including riding status, number of passengers, day of week, and traffic conditions, significantly affected helmet use both before and during the CCTV camera enforcement. Remarkably, 2 more variables, age and police inspection, significantly affected helmet use during the CCTV camera enforcement period. CONCLUSIONS: This study confirms that CCTV camera enforcement can be an important driving force for changing helmet use behavior, particularly for child passengers. Moreover, CCTV camera enforcement can support enforcement by extending coverage to a 24-h period and to intersections without police inspection.

The determinants of motorcyclists helmet use: Urban arterial road in Khon Kaen City, Thailand.

INTRODUCTION: Currently, Thailand incurs the highest death toll of motorcyclists in the world. The aim of this study was to explore the factors influencing helmet use of motorcyclists in Khon Kaen City, Thailand by using the Logistic regression analysis. METHOD: The samples, consisting of 27,977 riders and 6,947 riding passengers, were collected by CCTV installed at several signalized intersections along urban arterial roads. RESULTS: The observation results reveal that only 67% of motorcyclists wore the helmets. The analysis results reveal that the helmet use of motorcyclists was significantly associated with the riding status, number of passengers, apparent age, motorcycle class, time of day, the presence of police booths at intersections and, especially, red light running behavior. The riders tended to wear helmets at 2.7 times higher rates than passengers. Adult motorcyclists tended to wear the helmets at 2.8 times higher rates than children. The motorcyclists riding the motorcycles over 125 cc tended to wear the helmets 1.9 times higher than those riding motorcycles under 125 cc. The motorcyclists riding in the morning and the afternoon tended to wear the helmets 5.0 and 3.8 times higher than in the evening. The motorcyclists riding through intersections with police booths tended to wear the helmets 2.2 times higher than those riding through intersection without police booths. However, the red light running riders intend to wear the helmets 0.6 times less than the legal riders. CONCLUSIONS: The outcome of this study could determine the factors influencing motorcyclist's helmet use. PRACTICAL IMPLICATIONS: It will be useful for a development of 100% helmet use program designed to lessen the fatality of motorcyclists along the urban arterial roads.