Open AccessA Study of Multi Criteria Decision Analysis of Accident data for Indian states
Author(s) -
Pankaj Sharma,
Jinendra Kumar Jain,
Pawan Kallaa,
Parveen Kumar
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/796/1/012036
Subject(s) - topsis , ranking (information retrieval) , multiple criteria decision analysis , worry , transport engineering , traffic accident , computer science , operations research , engineering , psychology , artificial intelligence , anxiety , psychiatry
Traffic accident is a great worry for traffic safety experts and city planners and authorities because it leads to serious and non-serious injuries, loss of human life and some material loss also. The major causes of traffic accidents has been due to interaction of person, motor vehicle, road and situation. It has been observed that in some states or cities or areas traffic accidents occur very frequently as compared to other states or places. By adopting Multi-criteria decision-making (MCDM) techniques, the ranking of various Indian states is carried out based on 11 evaluative criteria. By considering these evaluative criteria, like the fatal accidents, grievous injury accidents, minor injury accidents, severity of road accidents, eleven traffic safety criteria are adopted. In the first stage of the model, these eleven criteria has been given weights as per Entropy Weight Method (EWM). In the second phase, ten Indian States have been ranked based on these eleven criteria by adopting Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) method. The attained results show which of the state is best ranked. Using these eleven criteria, the proposed model evaluates the road safety performance for a given set of 10 Indian states.