Planned intervention: On Wednesday April 3rd 05:30 UTC Zenodo will be unavailable for up to 2-10 minutes to perform a storage cluster upgrade.
Published July 30, 2020 | Version v1
Journal article Open

Accident Hotspot Identification on the Midnapore Kharagpur Development Authority Planning Area

  • 1. Remote Sensing & GIS Department, Vidyasagar University,Midnapore, India
  • 2. Remote sensing & GIS Department, Vidyasagar University, Midnapore, India.
  • 1. Publisher

Description

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.

Files

B3351079220.pdf

Files (1.1 MB)

Name Size Download all
md5:ea35ace305fd466f0793392484483073
1.1 MB Preview Download

Additional details

Related works

Is cited by
Journal article: 2277-3878 (ISSN)

Subjects

ISSN
2277-3878
Retrieval Number
B3351079220/2020©BEIESP