A Comprehensive Study On Identifying Various Trends And Patterns Of Road Accidents In Dhaka City

Abstract

This research offers a detailed investigation of traffic accident data, with an emphasis on finding important patterns and trends pertaining to vehicle type, age, gender, and temporal variables. Data from 10,000 accidents between July and December 2023 was analyzed using both manual observation and hypothesis testing techniques. An initial overview of accident patterns can be derived by the manual analysis which includes investigation of data through excel analysis, however for rigorous and more clear analysis require hypothesis testing as manual analysis is often subjected to bias and error. Therefore, deeper insights and significant relationships between variables were analyzed by hypothesis testing, which included chi-square tests and regression analyses. Important conclusions from hypothesis tests are the identification of buses and motorbikes as high-risk vehicles; furthermore, substantial connections were found between vehicle type, age groups, gender distribution, and accident frequency. With the use of the hypothesis tests, these patterns were more statistically validated and supported recommendations for initiatives aimed at improving road safety. This study underscores the need for targeted safety measures on streets, particularly focusing on high-risk demographics and vehicle types, to improve traffic safety in Dhaka