A STATISTICAL ANALYSIS OF BANGKOKTRAFFIC ACCIDENT DATA

Abstract

A nonlinear regression model has been used to explain the adjusted
monthly number of road accidents per 100,000 people (referred as ”Ad-
justed Road Accident Rate”) occurred within Bangkok, Thailand, from
2010 to 2016 in term of seven other variables. The extensive analysis is
quite interesting, as it indicated that the main and overwhelming factor
that contributed to accident rate is the total number of vehicles in the
city. In addition, three other variables, namely - mean temperature, the
total amount of rainfall and the number of holidays, also contributed
to the accident rate, albeit mildly. The implications of this study is
quite profound in the sense that if the city planners and policy makers
want to reduce the accident rate then total number of vehicles need to
be reduced, perhaps through investing more resources into public trans-
portation and/or increasing vahicular fees which may discourage more
vehicles on the streets. Other major cities in Southeast Asia, such as
Kolkata, Dhaka, Ho Chi Minh City, etc. having similar characteristics as
Bangkok can draw lessons from this study.