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

Abstract 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 soc...

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Autores principales:	Carola Blazquez, José Guillermo Cedeño Laurent, José Ignacio Nazif-Munoz
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Uber Road safety Alcohol Socioeconomic groups Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/ec3808fec1b346c1b571a4d281d3bf7c
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spelling	oai:doaj.org-article:ec3808fec1b346c1b571a4d281d3bf7c2021-11-08T10:44:02ZDifferential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters10.1186/s12889-021-12066-z1471-2458https://doaj.org/article/ec3808fec1b346c1b571a4d281d3bf7c2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12889-021-12066-zhttps://doaj.org/toc/1471-2458Abstract 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.Carola BlazquezJosé Guillermo Cedeño LaurentJosé Ignacio Nazif-MunozBMCarticleUberRoad safetyAlcoholSocioeconomic groupsPublic aspects of medicineRA1-1270ENBMC Public Health, Vol 21, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Uber Road safety Alcohol Socioeconomic groups Public aspects of medicine RA1-1270
spellingShingle	Uber Road safety Alcohol Socioeconomic groups Public aspects of medicine RA1-1270 Carola Blazquez José Guillermo Cedeño Laurent José Ignacio Nazif-Munoz Differential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters
description	Abstract 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.
format	article
author	Carola Blazquez José Guillermo Cedeño Laurent José Ignacio Nazif-Munoz
author_facet	Carola Blazquez José Guillermo Cedeño Laurent José Ignacio Nazif-Munoz
author_sort	Carola Blazquez
title	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_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_sort	differential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters
publisher	BMC
publishDate	2021
url	https://doaj.org/article/ec3808fec1b346c1b571a4d281d3bf7c
work_keys_str_mv	AT carolablazquez differentialimpactsofridesharingonalcoholrelatedcrashesbysocioeconomicmunicipalitiesrateoftechnologyadoptionmatters AT joseguillermocedenolaurent differentialimpactsofridesharingonalcoholrelatedcrashesbysocioeconomicmunicipalitiesrateoftechnologyadoptionmatters AT joseignacionazifmunoz differentialimpactsofridesharingonalcoholrelatedcrashesbysocioeconomicmunicipalitiesrateoftechnologyadoptionmatters
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Differential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters

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