Analysis of Traffic Injury Crash Proportions Using Geographically Weighted Beta Regression
Auteur(s): |
Alan Ricardo da Silva
Roberto de Souza Marques Buffone |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Infrastructures, 28 mai 2024, n. 6, v. 9 |
Page(s): | 89 |
DOI: | 10.3390/infrastructures9060089 |
Abstrait: |
The classical linear regression model allows for a continuous quantitative variable to be modeled simply from other variables. However, this model assumes independence between observations, which, if ignored, can lead to methodological issues. Additionally, not all data follow a normal distribution, prompting the need for alternative modeling methods. In this context, geographically weighted beta regression (GWBR) incorporates spatial dependence into the modeling process and analyzes rates or proportions using the beta distribution. In this study, GWBR was applied to the traffic injury (fatal and non-fatal) crash proportions in Fortaleza, Ceará, Brazil, from 2009 to 2011. The results demonstrated that the local approach using the beta distribution is a viable model for explaining the traffic injury crash proportions, due to its flexibility in handling both symmetric and skewed distributions. Therefore, when analyzing rates or proportions, the use of the GWBR model is recommended. |
Copyright: | © 2024 the Authors. Licensee MDPI, Basel, Switzerland. |
License: | Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original. |
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10789855 - Publié(e) le:
20.06.2024 - Modifié(e) le:
25.01.2025