Abstract:
Traffic accidents can occur due to drivers, vehicles, infrastructure, and the environment. Of the three
factors that cause it is necessary to know what attributes have a strong correlation as part of the factors
that can cause the accident. This study aims to obtain and compare what factors cause traffic accidents on
urban and rural roads. The data used in this study is not based on accident data but trip makers' perception
data by conducting interviews. The target respondents are trip makers who have been involved in traffic
accidents. The perception data is used to obtain the factors that cause other traffic accidents that are not
recorded in conventional accident data. In this research, the causative factors are grouped into two
conditions: factors causing accidents on urban roads and rural roads. Identification of these causes is by
sorting out which attributes directly affect the likelihood of a traffic accident based on the perception of
the trip makers. The analysis uses the Partial Least Square statistical approach to get the intended results.
The results show that the dominant cause of accidents based on human factors on urban roads is fatigue,
while on rural roads is due to high speed (aggressive). From the vehicle factors, a flat tire is a cause that
may cause an accident. Brake failure is one of the causative factors for rural roads not found on urban
roads. Side friction such as the buildup of material on the roadside, on-street parking, street vendors, and
indiscriminate pedestrians have great potential to cause accidents on urban roads. Sharp curve conditions
are the dominant cause on rural roads.
Keywords: Traffic Accidents, Trip Maker Perception, Partial Least Square, Urban Road, Rural Road
