@inproceedings{8052bee5e15f4989923a6a48f9a62c3e,
title = "Desigualdad socioecon{\'o}mica y su asociaci{\'o}n con accidentes de tr{\'a}nsito en el Gran Santiago, Chile",
abstract = "In the present study, we investigate the relationship between different dimensions that define socioeconomic inequality and the rate of traffic accidents that occurred in the 34 communes of Great Santiago, Chile in the 2015-2019 period. First, global regression models are employed to explore the associations between the variables, and consequently, spatial regression models (spatial lag models, spatial error models, and geographically weighted regression) were used. Results suggest that the rate of educational establishments present a strong association with the rates of traffic accidents, particularly in communes with high levels of poverty. Thus, the results may support authorities in the resource assignment for road safety by prioritizing those communes in Great Santiago with inhabitants of medium-low socioeconomic segments.",
keywords = "Chile, inequity, regression models, Spatial econometry, traffic safety",
author = "Mauricio Iturrieta and Carola Blazquez and Karen Sauer-Brand",
note = "Publisher Copyright: {\textcopyright} 2023 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.; 21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023 ; Conference date: 19-07-2023 Through 21-07-2023",
year = "2023",
language = "Espa{\~n}ol",
series = "Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology",
publisher = "Latin American and Caribbean Consortium of Engineering Institutions",
editor = "{Larrondo Petrie}, {Maria M.} and Jose Texier and Matta, {Rodolfo Andres Rivas}",
booktitle = "Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology",
}