Open AccessAccident Hotspot Identification on the Midnapore Kharagpur Development Authority Planning Area
Author(s) -
Mrs. Samrin Fatema,
Abhisek Chakrabarty
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b3351.079220
Subject(s) - black spot , geography , kernel density estimation , geographic information system , transport engineering , traffic accident , accident (philosophy) , identification (biology) , road accident , environmental planning , cartography , engineering , statistics , mathematics , estimator , horticulture , biology , philosophy , botany , epistemology
Road accidents are a vital problem in our country for various reasons. According to WHO reports, approximately 1.25 million people died each year, and more than 50 million people injured in road accidents all over the world. Road accident is mostly human-made, and it’s affecting your life negatively. Regarding, many studies or research has been performed to reduce road accident and identify the accident blackspot. This paper represents a methodology to find out the accident-prone zone, estimation of Kernel Density and black Site & black Spot identification of major roads Medinipur and Kharagpur development Authority (MKDA) planning area using of Geographical Information Systems (GIS). For this study, road accident data collected from Paschim Medinipur Kotwali Police station from 2016 to 2019. A kernel density estimation was created to identify black spots & black sites of the study area. Based on the result, suggestions are provided to improve the situation in the future.