Uber Nairobi Ambulance Perambulation Challenge
$6,000 USD
Can you use ML to create an optimised ambulance deployment strategy in Nairobi?
992 data scientists enrolled, 327 on the leaderboard
17 September 2020—24 January 2021
Ends in 3 days

Road traffic collisions are the number one killer of children and young adults ages 5-29, and 8th leading cause of death worldwide. Post-crash care is one of the five pillars of road safety and a critical component for reducing morbidity and mortality.

When it comes to emergency response to road accidents, every second counts. With heavy traffic patterns and the unique layout of the city, finding the best locations to position emergency responders throughout the day as they wait to be called is critical in a city like Nairobi.

We’ve collected information on thousands of traffic accidents that have occurred in Nairobi, Kenya in 2018 and 2019. For this competition, you must use the training data (recorded crashes up to June 2019) along with supplementary data from Uber Movement, road survey data and weather patterns to identify patterns of risk across the city. You must then use these findings to place six virtual ambulances around the city, moving them around throughout the day with the goal of minimising the distance travelled when responding to crashes during the test period.

About Uber Movement (movement.uber.com)

Uber Movement is a website that helps urban planners, city officials, riders and the public better understand the transport needs of their cities.  Movement shows average travel times between zones and average street level speed data in a city, derived from anonymous and aggregated on-trip data from Uber vehicles.

About the World Bank Development Impact Evaluation Department (worldbank.org/en/research/dime)

The World Bank’s Development Impact Evaluation (DIME) group generates high-quality and operationally relevant data and research to transform development policy, help reduce extreme poverty, and secure shared prosperity. It develops customized data and evidence ecosystems to produce actionable information and recommend specific policy pathways to maximize impact. The road traffic crash data used for this challenge was produced thanks to funding provided by the UK Foreign, Commonwealth & Development Office (FCDO) through the ieConnect for Impact program.

About Flare (flare.co.ke)

Flare builds 911 systems for places in the world without one. More than 5 billion people live in cities and countries where calling for an ambulance during an emergency like during a road accident is not a reality. Flare brings together available ambulances onto a centralised technology platform. It runs a 24/7 professional dispatch centre where their rescue.co members can dial a single number or press an SOS button to instantly reach help. In Kenya, before Flare launched, it used to take 162 minutes (nearly 3 hours!) to receive care after an emergency. Today, Flare’s average response time is 15 minute in Nairobi and increasingly they are responding in 2, 3, or 4 minutes.