Accident Hotspot Identification on the Midnapore Kharagpur Development Authority Planning Area
Samrin Fatema1, Abhisek Chakrabarty2

1Mrs. Samrin Fatema*, Remote Sensing & GIS Department, Vidyasagar University,Midnapore, India.
2Dr. Abhisek Chakrabarty, Remote sensing & GIS Department, Vidyasagar University, Midnapore, India. 

Manuscript received on May 25, 2020. | Revised Manuscript received on June 29, 2020. | Manuscript published on July 30, 2020. | PP: 169-174 | Volume-9 Issue-2, July 2020. | Retrieval Number: B3351079220/2020©BEIESP | DOI: 10.35940/ijrte.B3351.079220
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Abstract: 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. 
Keywords: Hotspot, Black site, GIS, Accident Analysis, Kernel Density.