Abstract:
In recent years, developing countries have encountered issues such as road traffic crashes,
injuries and property loses as a consequence of roadside activities. These are emergent,
difficult, and one of the most pressing concerns in Bangladesh, as well as in many other
developing countries. Several studies have quantified traffic characteristics due to
encroachment but many significant factors which are most affected by and cause
encroachment, remain unexplored. This study aims to identify the underlying causes of
encroachment, and their impact on the built environment and vice versa, as well as the
unexplored relationship between encroachment and road safety. Using GIS tool, 249 four legged intersections were identified for data processing and categorization. A fishbone
diagram was developed to identify the 8 main factors – permitted traffic movement, land
use, road furniture, pedestrian facility, signal/sign/road marking/pavement, right-of-way,
public transport, goods vehicle, and visibility. In the input data set, the feature importance
score for each variable was determined, and the variables with the greatest influence were
selected using the C4.5 decision tree algorithm. Lastly, a Multinomial Logit Regression
model was developed using the features deemed important by the C4.5 algorithm to predict
the encroachment severity and the most influential factors behind it. The findings of this
study offer valuable insights that can serve as a resource for policy makers and law
enforcement authorities in formulating policies and implementing measures to reduce
roadside encroachments and its resulting adversities
Description:
Supervised by
Dr. Moinul Hossain,
Professor,
Department of Civil and Environmental Engineering (CEE),
Islamic University of Technology (IUT) Board Bazar, Gazipur, Bangladesh.