Comparative analysis of traffic accidents in the urban area of Cuenca, Ecuador. Period 2018-2020

Authors

DOI:

https://doi.org/10.21138/GF.785

Abstract

This research consists of the analysis of problems related to traffic accidents affecting the population of Cuenca city in Ecuador, which generate considerable damage, road insecurity and, even worse, loss of life. Because the accident rate is usually categorized, the analysis of vehicle crashes (injury and non-injury) at a spatiotemporal level during the period 2018 - 2020 (per year) and in biannual period 2019-2020 was proposed as the objective of this research. Several spatial and temporal analysis tools implemented entirely in free and open-source software were used (QGIS and R). The contribution of this research consists of analysing the specified accidents in a linear way, with which it was possible to determine the urban road sections that had a higher rate of such accidents, in a visual way by means of maps as a result of the spatial analysis, through data clocks for temporal analysis, and considering values of accident concentration per year by means of the Nearest Neighbor Index (NNI). The research results are expected to be disseminated to the competent traffic institutions, in order to contribute to the improvement of quality of pedestrian life and mitigate the occurrence of the accident under analysis, as well as to serve as an impulse to promote appropriate awareness and prevention campaigns. We also consider that this study contributes to the dissemination of the Sustainable Development Goals (SDG), specifically SDG 11 Sustainable Cities and Communities, and SDG 16, Peace, Justice and Strong Institutions.

Author Biography

Esteban Bravo López, Universidad del Azuay, Universidad de Jaén

Docente - Investigador IERSE - Universidad del Azuay. Estudiante de Doctorado - Universidad de Jaén

Published

2022-12-30

How to Cite

Bravo López, E. (2022). Comparative analysis of traffic accidents in the urban area of Cuenca, Ecuador. Period 2018-2020. GeoFocus. International Review of Geographical Information Science and Technology, (30), 49–72. https://doi.org/10.21138/GF.785

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Section

Artículos