Abstract
In this work, the factors involved in the incidence of vehicular accidents during the period 2017-2022 in the province of Pichincha, Ecuador, were studied with the purpose of identifying the most influential variables in traffic accidents. From the methodological point of view, an analytical and descriptive research approach was adopted. The methodological process started with an exploratory study based on data provided by the National Traffic Agency (ANT), which records the accidents that occurred from January 2017, to December 2022. For the statistical analysis of the data, a free software tool was used. After carrying out an exhaustive analysis, it was concluded that there is no significant variation by month or by time slot in the incidence of accidents. The primary cause identified was speeding, followed by disregarding traffic signals, with the third cause being picking up and dropping off passengers in unauthorized areas. Additionally, it was observed that the canton of Quito had a higher implication in terms of accident frequency. Throughout the study period, a decrease in the incidence of accidents was noted until 2020. However, an upturn in the trend was observed in 2021, although 14 fewer accidents were recorded in 2022 compared to 2021. The completion of this study is crucial as understanding the causes of accidents enables the implementation of measures to enhance road safety, thereby reducing the likelihood of accidents and safeguarding lives. Identifying the underlying causes of accidents can contribute significantly to preventing injuries and fatalities.
| Original language | English |
|---|---|
| Article number | 012010 |
| Journal | IOP Conference Series: Earth and Environmental Science |
| Volume | 1370 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2024 |
| Event | 3rd Congress on Sustainability, Energy and the City, CSECity 2023 - Hybrid, Ambato, Ecuador Duration: 20 Nov 2023 → 21 Nov 2023 |
Bibliographical note
Publisher Copyright:© Published under licence by IOP Publishing Ltd.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- accident factors
- accident rate
- Pichincha
- traffic accidents
CACES Knowledge Areas
- 617A Design and Construction of Motor Vehicles, Boats and Aircraft
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Characterization of Sustainable Mobility Models Using Machine Learning Architectures Applied to PID Signals Obtained via OBD II for the Study of Pollutant Emissions in the City of Cuenca
Rivera Campoverde, N. D. (PI), Bermeo Naula, A. K. (Col), Molina Campoverde, P. A. (Col), Vidal Suarez, J. S. (Student), Jachero Bravo, B. F. (Student), Semiglia Pineda, W. J. (Student), Gomez Punin, K. P. (Student), Idrovo Pulla, D. R. (Student), Narvaez Calle, J. F. (Student), Juarez Cardenas, C. A. (Student), Mendoza Criollo, P. J. (Student), Avila Ramon, H. P. (Student), Montenegro Siguenza, J. F. (Student), Angamarca Silverio, W. N. (Student), Avila Puzma, J. F. (Student), Guartazaca Uyaguari, J. S. (Student), Vasquez Segarra, C. S. (Student), Suqui Padilla, J. I. (Student), Alvarez Montenegro, J. S. (Student), Siavichay Neira, V. S. (Student), Lucero Duran, W. M. (Student), Vintimilla Leon, A. S. (Student), Pacheco Auquilla, D. S. (Student), Peralta Bueno, L. A. (Student), Juca Guaman, J. A. (Student), Ortuño Samaniego, J. I. (Student), Cardenas Ormaza, J. S. (Student) & Jimenez Lojano, E. J. (Student)
18/05/23 → 8/01/25
Project: Research and Development
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