International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 11, Issue 2 (February 2024), Pages: 63-72

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 Original Research Paper

Pedestrian crossing: Analysis of habits and compliance through unsignalized crosswalk in the city of Kigali

 Author(s): 

 David Nkurunziza 1, *, G. Senthil Kumaran 2, Rahman Tafahomi 3, Irumva Augustin Faraja 4

 Affiliation(s):

 1Department of Civil, Environment and Geomatics Engineering, College of Science and Technology, University of Rwanda, Kigali, Rwanda
 2Department of Civil Engineering and Construction, The Copperbelt University, Kitwe, Zambia
 3Department of Architecture, College of Science and Technology, University of Rwanda, Kigali, Rwanda
 4Relief Solutions Ltd, Kigali, Rwanda

 Full text

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-1328-6979

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2024.02.009

 Abstract

Pedestrian safety is a global issue that can be improved by monitoring and adjusting walking behaviors. This study focuses on how people walk across streets without traffic signals. It looks at whether pedestrians follow the rules and regulations for safely crossing streets. The unique aspect of this research is that it examines pedestrian behaviors on roads with two lanes for two-way traffic at various informal crosswalks rather than on one-way streets. The researchers watched video recordings to study different instances of people crossing streets. They found that 27.21% of pedestrians followed the safety rules when crossing, but a significant number did not and should be taught better crossing practices. The study identified three main behaviors that often led to rule violations: not looking both ways before crossing, being distracted, and not crossing cautiously. Pedestrians who were cautious were much more likely to follow the crossing rules compared to those moving at any speed, and those not distracted were more likely to follow the rules than those who were cautious. Additionally, 32.05% of pedestrians were distracted by activities like using phones, talking, or wearing headphones. Among these, 17.7% walked directly across the crosswalk, and 26.21% crossed in a diagonal or zigzag pattern. The study also found that 60% to 87% of the observed behaviors could predict whether a pedestrian would follow crossing rules based on statistical models.

 © 2024 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Binary logistic regression model, Road safety, Pedestrian crossing, Pedestrian characteristics, Pedestrian traffic

 Article history

 Received 30 August 2023, Received in revised form 25 December 2023, Accepted 22 January 2024

 Acknowledgment 

We thank the great support received from the City of Kigali administration and the University of Rwanda, College of Science and Technology, Directorate of Postgraduate Studies and Research.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Nkurunziza D, Kumaran GS, Tafahomi R, and Faraja IA (2024). Pedestrian crossing: Analysis of habits and compliance through unsignalized crosswalk in the city of Kigali. International Journal of Advanced and Applied Sciences, 11(2): 63-72

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 Figures

 Fig. 1 Fig. 2 

 Tables

 Table 1 Table 2 Table 3 Table 4 Table 5 Table 6 Table 7 Table 8 Table 9 Table 10 Table 11 Table 12 Table 13 Table 14 

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