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Differential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters

BACKGROUND: An emergent group of studies have examined the extent under which ridesharing may decrease alcohol-related crashes in countries such as United States, United Kingdom, Brazil, and Chile. Virtually all existent studies have assumed that ridesharing is equally distributed across socioeconom...

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Autores principales: Blazquez, Carola, Laurent, José Guillermo Cedeño, Nazif-Munoz, José Ignacio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569979/
https://www.ncbi.nlm.nih.gov/pubmed/34736449
http://dx.doi.org/10.1186/s12889-021-12066-z
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author Blazquez, Carola
Laurent, José Guillermo Cedeño
Nazif-Munoz, José Ignacio
author_facet Blazquez, Carola
Laurent, José Guillermo Cedeño
Nazif-Munoz, José Ignacio
author_sort Blazquez, Carola
collection PubMed
description BACKGROUND: An emergent group of studies have examined the extent under which ridesharing may decrease alcohol-related crashes in countries such as United States, United Kingdom, Brazil, and Chile. Virtually all existent studies have assumed that ridesharing is equally distributed across socioeconomic groups, potentially masking differences across them. We contribute to this literature by studying how socioeconomic status at the municipal level impacts Uber’s effect on alcohol-related crashes. METHODS: We use data provided by Chile’s Road Safety Commission considering all alcohol-related crashes, and fatal and severe alcohol-related injuries that occurred between January 2013 and September 2013 (before Uber) and January and September 2014 (with Uber) in Santiago. We first apply spatial autocorrelation techniques to examine the level of spatial dependence between the location of alcohol-related crashes with and without Uber. We then apply random-effects meta-analysis to obtain risk ratios of alcohol-related crashes by considering socioeconomic municipality differences before and after the introduction of Uber. RESULTS: In both analyses, we find that the first 9 months of Uber in Santiago is associated with significant rate ratio decreases (RR = 0.71 [95% Confidence Interval (C.I.) 0.56, 0.89]) in high socioeconomic municipalities in all alcohol-related crashes and null (RR = 1.10 [95% C.I. 0.97, 1.23]) increases in low socioeconomic municipalities. No concomitant associations were observed in fatal alcohol-related crashes regardless of the socioeconomic municipality group. CONCLUSIONS: One interpretation for the decline in alcohol-related crashes in high socioeconomic municipalities is that Uber may be a substitute form of transport for those individuals who have access to credit cards, and thus, could afford to pay for this service at the time they have consumed alcohol. Slight increases of alcohol-related crashes in low socioeconomic municipalities should be studied further since this could be related to different phenomena such as increases in alcohol sales and consumption, less access to the provision of public transport services in these jurisdictions, or biases in police reports. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12066-z.
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spelling pubmed-85699792021-11-08 Differential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters Blazquez, Carola Laurent, José Guillermo Cedeño Nazif-Munoz, José Ignacio BMC Public Health Research BACKGROUND: An emergent group of studies have examined the extent under which ridesharing may decrease alcohol-related crashes in countries such as United States, United Kingdom, Brazil, and Chile. Virtually all existent studies have assumed that ridesharing is equally distributed across socioeconomic groups, potentially masking differences across them. We contribute to this literature by studying how socioeconomic status at the municipal level impacts Uber’s effect on alcohol-related crashes. METHODS: We use data provided by Chile’s Road Safety Commission considering all alcohol-related crashes, and fatal and severe alcohol-related injuries that occurred between January 2013 and September 2013 (before Uber) and January and September 2014 (with Uber) in Santiago. We first apply spatial autocorrelation techniques to examine the level of spatial dependence between the location of alcohol-related crashes with and without Uber. We then apply random-effects meta-analysis to obtain risk ratios of alcohol-related crashes by considering socioeconomic municipality differences before and after the introduction of Uber. RESULTS: In both analyses, we find that the first 9 months of Uber in Santiago is associated with significant rate ratio decreases (RR = 0.71 [95% Confidence Interval (C.I.) 0.56, 0.89]) in high socioeconomic municipalities in all alcohol-related crashes and null (RR = 1.10 [95% C.I. 0.97, 1.23]) increases in low socioeconomic municipalities. No concomitant associations were observed in fatal alcohol-related crashes regardless of the socioeconomic municipality group. CONCLUSIONS: One interpretation for the decline in alcohol-related crashes in high socioeconomic municipalities is that Uber may be a substitute form of transport for those individuals who have access to credit cards, and thus, could afford to pay for this service at the time they have consumed alcohol. Slight increases of alcohol-related crashes in low socioeconomic municipalities should be studied further since this could be related to different phenomena such as increases in alcohol sales and consumption, less access to the provision of public transport services in these jurisdictions, or biases in police reports. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12066-z. BioMed Central 2021-11-04 /pmc/articles/PMC8569979/ /pubmed/34736449 http://dx.doi.org/10.1186/s12889-021-12066-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Blazquez, Carola
Laurent, José Guillermo Cedeño
Nazif-Munoz, José Ignacio
Differential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters
title Differential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters
title_full Differential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters
title_fullStr Differential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters
title_full_unstemmed Differential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters
title_short Differential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters
title_sort differential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569979/
https://www.ncbi.nlm.nih.gov/pubmed/34736449
http://dx.doi.org/10.1186/s12889-021-12066-z
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