Estimating Effects of Uber Ride-sharing Service on Road Traffic-related Deaths in South Africa: A Quasi-experimental Study

Table of Contents
Author(s)
Jonathan Yinhao Huang
Institute for Health and Social Policy, McGill University, Montreal, Quebec, CanadaFarhan Majid
Senior Research Associate, IMPAQ at American Institutes for ResearchMark Daku
Department of Political Science, Texas Christian University AddRan College of Liberal Arts, Fort Worth, Texas, USAAbstract
Background
Road traffic deaths are a substantial barrier to population health improvement in low-income and middle-income countries (LMICs). In South Africa, the road-traffic injury mortality (RTM) rate of 27 per 100 000 population is twice the global average, over 60% of which are alcohol-related. Recent US studies suggest the Uber ride-sharing service may reduce alcohol-related RTM, however RTM burden in the USA is relatively low and transport behaviours differ from LMICs.
Methods
Using certification data from all deaths occurring in South Africa in the years 2010–2014 (n=2 498 216), we investigated the relative change in weekly road traffic-related death counts between provinces which received Uber services (beginning in 2013) against those that did not using a difference-in-differences approach.
Results
Weekly road traffic-related deaths in provinces with Uber were lower following Uber introduction than in comparison provinces without Uber. The effect size was larger in the province which had Uber the longest (Gauteng) and among young adult males (aged 17–39 years). However, the absolute effects were very small (<2 deaths per year) and may coincide with seasonal variation.
Conclusions
Overall, findings did not support either an increase or large decrease in province-level road traffic-related deaths associated with Uber introduction to South Africa. More localised investigations in South Africa and other LMICs are needed.
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