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April 10, 2026Model Assisted Statistics and Applications

Statistical Analysis and Inferential Characterization of Cases of Road Accidents in India: A Multivariate Data Science Perspective

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Authors

PTPakki Venkata TejaECEranki Aditya CharanTNTatikonda HariHara Nandhan

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Overview

Analysis reveals hotspots of road accidents in urban areas of India, highlighting urgent policy needs.

Key Points

  • The study aims to identify hotspots and coldspots of road accidents in India, emphasizing their causes and impacts.
  • Used statistical models to analyze road accident data in India
  • Identified hotspots and coldspots of accidents
  • Utilized software tools including MS Excel, saTScan, and Python
  • Applied time series analysis using the Holt-Winter method for prediction
  • Identified cities like Coimbatore and Bangalore as primary hotspots for road accidents
  • Southern and northern states exhibit disproportionately high accident rates
  • Holt-Winter method proves superior for time series analysis compared to other exponential models

Cite This Study

Teja et al. (2026) studied this question.

synapsesocial.com/papers/69d894526c1944d70ce0537bhttps://doi.org/10.1177/15741699261432601
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