Psychological Analysis Report of Accident & Traffic Data in Bengaluru

Aadhithyan TS; AV Surya Sen

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| Published: June 09, 2023

Psychological Analysis Report of Accident & Traffic Data in Bengaluru

Aadhithyan TS

Student, Department of Social Sciences School of Liberal Studies, Pandit Deendayal Energy University Gandhinagar, Gujrat (India) Google Scholar More about the auther

, AV Surya Sen

IT Director Google Scholar More about the auther

DIP: 18.01.199.20231102

DOI: 10.25215/1102.199

ABSTRACT

The following document talks about the analysis of the accident data provided by the Bengaluru Metropolitan Transport Corporation (BMTC) Accident Department and the solutions that can be suggested to them regarding their training and development techniques or methods. The study focuses on the use of data pointers such as age, type of accident (minor, major, fatal) and the time/demographics of the accident during the years of 2018 to 2022, and deals with the usage of Contextual Mediated accident model to create inferences and suggestions about the profile(s) of drivers involved in the accident.

Keywords

Accident, BMTC, Bengaluru, Contextual Mediated Model, Proximal, Distal, Outcome

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This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.

How to cite this article: Aadhithyan, TS & Sen, AV, S. (2023). Psychological Analysis Report of Accident & Traffic Data in Bengaluru. International Journal of Indian Psychology, 11(2), 1971-1986. DIP:18.01.199.20231102, DOI:10.25215/1102.199