Analysis of road accident mortality based on time of occurrence for Kerala, India

Authors

  • Divyashree N. Division of Medical Statistics, School of Life Sciences, Mysuru, Karnataka, India
  • Stavelin Abhinandithe K. Department of Medical Statistics, School of Life Sciences, JSS AHER, Mysuru, Karnataka, India
  • Vidya Raju Department of Statistics, Yuvaraja’s College, University of Mysore, Karnataka, India
  • Sridhar Ramachandran Ramakrishna Mission Vidyalaya, Coimbatore, Tamil Nadu, India
  • Prerana M. Division of Medical Statistics, School of Life Sciences, Mysuru, Karnataka, India

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20233791

Keywords:

Road accident, Time series regression, Prophet, Deep learning, Seasonality

Abstract

Background: Road traffic accidents (RTA) pose a significant socio-economic burden and global public health concern. Monitoring road safety initiatives' efficacy necessitates analysing RTA incidence. This study examines time zone-specific RTA mortality in Kerala state, India, from 2016 to 2021.

Methods: Utilizing compiled secondary-level time series data, the study encompasses total RTA fatalities in Kerala from 2016 to 2021. Data includes fatalities per year in nine consecutive three-hour time periods. Exploratory data analysis, time series regression, and exponential smoothing were employed for analysis.

Results: Data reveals fluctuating trends in road accident (RA) fatalities, peaking in 2018 with a notable decrease in 2020. 18:00 to 21:00 recorded the highest and lowest fatalities, total 901 deaths. Disproportionate RA fatalities occurred from 06:00 to 09:00 (527 deaths) and 15:00 to 18:00 (697.5 deaths). The study employs Holt-Winters exponential smoothing for short-term forecasting, with a mean absolute scaled error (MASE) less than 1 signifying accurate predictions.

Conclusions: The analysis highlights temporal patterns, emphasizing 18:00 to 21:00 as critical. Holt-Winters exponential smoothing proves vital for accurate short-term forecasting, with MASE reflecting precision. Urgency is stressed in adopting targeted measures for time-specific road accidents. Government intervention is pivotal, advocating for improved infrastructure, enhanced driver education, efficient vehicle management, and sustained traffic enforcement. Tailoring traffic laws to time zones, coupled with forecasting techniques, aligns with the overarching goal of enhancing road safety and reducing RA mortality rates.

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Published

2023-11-30

How to Cite

N., D., Abhinandithe K., S., Raju, V., Ramachandran, S., & M., P. (2023). Analysis of road accident mortality based on time of occurrence for Kerala, India. International Journal Of Community Medicine And Public Health, 10(12), 4862–4868. https://doi.org/10.18203/2394-6040.ijcmph20233791

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Section

Original Research Articles