Relocation: the world’s first free riding system, by YEGO

Giulia-Fragnito

Written by Giulia Fragnito

YEGO DATA SCIENTIST
Giulia-Fragnito

Written by Giulia Fragnito

YEGO DATA SCIENTIST

Ever since we started with YEGO, we have continued to learn every day. The challenges we face are increasingly complex and require a lot of analysis and teamwork. One very important challenge has been to ensure our users can find their bike where they need it most. Here we explain the Relocation system, a system where our experience and the analysis of lots and lots of data come together.

What users want

 The first thing I was asked when I started working as a Data Scientist at YEGO was ‘What do users want?’. It took thousands of numbers, pieces of data and extensive analysis to discover that the secret to their happiness had very little to it: a scooter parked on the corner whenever they need it, and free trips from time to time.

 

If you are a YEGO user you may already know that our Relocation system is a unique approach to achieving both. Allow me to explain a little more…

The beginnings

Going chronologically, let’s go back to 2017. We had just celebrated our first birthday. We began to notice a few sad, lonely YEGOs parked for a long time on empty streets, with nobody wanting to take them.

Meanwhile, on other streets in different neighbourhoods, the demand was so high that a significant number of users were disappointed, with no YEGO on the corner.

It became clear that we needed to make an effort to ensure that the bikes moved quickly from areas with little demand to the more popular spots.

This is how we came up with the first idea of Relocation, a totally manual system: our Space Rangers moved around the city using public transport, moving motorcycles from one area to another, calculating the areas of highest demand without any great degree of accuracy.

Lessons learned

Time flies, and in 2018 we doubled the size of our fleet and the number of users. Moving scooters around like this became very difficult, costing a lot of time and money.

But there was one thing in our favour: over time, we acquired much more experience in terms of user behaviour, and a much larger database to query and analyse.

That’s when we came up with the idea of taking Relocation to level 2.0: it’s the users themselves who are the best at moving the scooters! But of course, the users do not work for us, so we need to reward in return. 

The launch

So, after a lot of work and effort, in November 2018 we launched the Relocation system within the app, where certain motorcycles become ‘special’ and offer a free ride of up to 15 minutes if they are parked in an area specified on the map, where we know there is higher demand.

And so, some users ride for free while others find a bike where they need it most.

The model

How do we choose the area on the map? How do we select the special bikes? This is our secret sauce, a mixture of intuition and experience, supported by data and artificial intelligence. We analysed thousands of routes and built a model capable of reconstructing the movements of users, and their needs in relation to the time of day, the day of the week, the season and the weather.

The image shows the operating area of YEGO in Barcelona divided into squares of 1 Km². The color represents the average downtime of parked motorcycles, ranging from blue (minor) to pink (major).

The results at a glance

The Relocation system has been very successful. So far:

More than 3500 users in Barcelona have benefited from the service.

YEGO downtime is down 61%.

• El número de motos en barrios con demanda muy alta, y entonces la satisfacción de los usuarios, registre un incremento de casi un 15%.

The concept of Relocation is truly very simple. However, for us it is very powerful and exciting: it is proof that we are not wrong, that our essence, sharing and helping each other, is the key to a radical change that we really need as a society.

We are eager to continue improving this feature and take it to the next level.

What will Relocation V3.0 look like? 

You’ll find out sooner rather than later in our app!

#RIDEYEGO