Investigation of Locational and Non-locational Factors Influencing Crash Severity: A Developing World Perspective

Authors

  • Shahriar Sharif
  • Sharfan Upaul
  • Sharaf Owamia Mim

Abstract

Traffic crash is one of the major causes of mortality and injuries in Bangladesh. This study provides multiple crash data reviews over four consecutive years, starting from 2016 to 2019 of Chittagong City Corporation. This analysis is intended to assess the impacts of various parameters on the severity of traffic crashes. The study technique consists of several phases. This research provides a broad description of the variables in the first stage. In the second, the results of the multinomial logistic regression model are presented to help comprehend the influence of various parameters on the severity of the crash. This work has carried out a spatial analysis for vulnerable crash sites identification with hotspot and Kernel density analysis in third phase. The study finds that 80.5% of the crashes were fatal and 10.9% of the crashes were grievous along with most of the deadly collisions occur in spots, not at the intersection and the key casualties are pedestrians. The results show that these crash points are highly clustered with significance. It indicates that traffic crashes occurred repeatedly during the period 2016-2019 at the same level of intensity, nature and number of victims. There are accident hotspots with a large portion in the central part of the city corporation area. 5, 9, 10, 12, 13, 16, 18, 19, 25-27, 30 and 31 are found to be vulnerable wards according to Kernel density analysis. Therefore, this study suggests the adoption of policies to prioritize the road users' traffic protection in crash-prone areas.

 

Keywords: Road accident, Crash severity, Multinomial Logistic Regression, Hotspot Analysis, Kernel Density, Chittagong City, Bangladesh.

 

Downloads

Published

2021-09-14

Issue

Vol. 8 No. 2 (2021)

Section

Research Article

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.