Proceedings of the 7th International Conference on Civil Engineering for Sustainable Development (ICCESD 2024)

Investigation of Road Accident Scenario in Chattogram City

Authors
S. N. Nilu1, *, K. D. Dip1, M. H. Masum1
1Chittagong University of Engineering & Technology, Chattogram, 4349, Bangladesh
*Corresponding author. Email: sabikun@cuet.ac.bd
Corresponding Author
S. N. Nilu
Available Online 23 July 2024.
DOI
10.2991/978-94-6463-478-5_23How to use a DOI?
Keywords
Accident Model; Casualty; Fatality Risk; FIR; Road; Accidents
Abstract

Road traffic accidents are a global concern that is on the rise due to rapid urbanization and population growth, especially in a developing country like Bangladesh. Chattogram is one of the largest cities in Bangladesh, where a growing number of deaths and injuries are apparent. The study aims to investigate the road accident scenario in Chattogram. The study used the data collected from the First Information Record (FIR) filed in different police stations across the city from 2015 to 2019. A total of 335 accidents occurred during the period. Analysis of variances test revealed motorized vehicles are significantly more involved in fatal road accidents than non-motorized vehicles and pedestrians. Buses/minibuses and trucks comprised 65.5% of the accidents that occurred in these years. Microsoft Excel was used to conduct the statistical t-test of the data, which showed that males (42.8 persons per year) were significantly more susceptible to fatalities than females (8.2 persons per year). Staggeringly, 46.3% of the casualties belonged to the age group of 21–35 years. Furthermore, 83.7% of the accidents occurred during working hours. The accident severity index was found to be four times higher for males than for females. The average severity index for Chattogram City was found to be 78.40 per 100 accidents, which is alarmingly higher than that of a similar city such as Kolkata but comparable with the capital of Bangladesh, Dhaka. This finding raises a question on the reliability of using FIR data for accident analysis. The accident fatality risk per lakh was a maximum of 1.5 in 2016 and a minimum of 0.7 in 2017 for the study area. However, there is room for improvement in traffic safety. This paper presents road accident statistics of Chattogram which can be used for sustainable transportation planning in an urban setting.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 7th International Conference on Civil Engineering for Sustainable Development (ICCESD 2024)
Series
Atlantis Highlights in Engineering
Publication Date
23 July 2024
ISBN
978-94-6463-478-5
ISSN
2589-4943
DOI
10.2991/978-94-6463-478-5_23How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - S. N. Nilu
AU  - K. D. Dip
AU  - M. H. Masum
PY  - 2024
DA  - 2024/07/23
TI  - Investigation of Road Accident Scenario in Chattogram City
BT  - Proceedings of the 7th International Conference on Civil Engineering for Sustainable Development (ICCESD 2024)
PB  - Atlantis Press
SP  - 301
EP  - 313
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-478-5_23
DO  - 10.2991/978-94-6463-478-5_23
ID  - Nilu2024
ER  -