Grab Reveals How Common It Is For People In The Same Neighbourhood To Travel To The Same Destination

Have you ever booked a ride via GrabShare and hoped that no one else would get on during your trip? Don’t worry, the other party also wishes you didn’t tag along on theirs either.

As much as you think it’s a matter of heng suay, it’s actually more complicated than that.

Turns out, the chances of you carpooling with a stranger is as high as 46%.

How do we know this?

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Thanks to ride-hailing company Grab, who released Part I of their 2-part series on Friday (20 Oct) explaining how GrabShare was created.

Data of Grab bookings revealed 

While most of the blog involved mathematical jargon that wouldn’t make for an interesting article – and also because none of us here at MustShareNews studied math beyond secondary school – one image used in particular however, caught our attention.

See if you can make sense of this:

What does this mean and how does it work?

The series of coloured lines you see above represent the GrabCar bookings made during morning peak hours from various parts of the country, thus revealing travel patterns of Singaporeans. That’s right, Grab mapped every single booking during a particular period – which wasn’t specified – and simplified it onto the map of Singapore.

Rather expectedly, people tend to head toward the CBD in mornings from areas that on the fringe of Central Singapore. This includes areas like Bishan/Ang Mo Kio, Farrer Road/Bukit Timah, and most of the East Coast.

Breaking news: A lot of people work here.

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Interestingly though, it also reveals that people living at Sengkang/Punggol and Bedok tend to ride-hail towards Singapore Expo.

According to them, a total of eight clusters – neighbourhoods containing bookings with close pickup and drop-off locations – were observed.

Very likely that someone near you is going to the same place

This meant that for every cluster, there was a great likelihood that someone within 300 meters of you was heading to a similar location within that distance as well.

What are the odds of that?

They even released a more concise data in the form of a table to prove their findings.

During the peak hours of 8am – 10am, 46% of the bookings in any given cluster could’ve been done with GrabShare instead.

And this pattern of people travelling from the same place to a similar destination was how Grab determined that GrabShare was a viable product.

How does this affect you?

What this means for you is that when you are booking a ride to get to work in the morning, there is a 46% chance that someone within 300 meters is going to the same place you are as well.

And that’s pretty insane.

Yeah, what ARE the odds?

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Now at first, this might seem like too much of a coincidence to happen.

But when you think about it, it actually kinda makes sense.

The findings are actually really plausible

Try recalling the times when you used Grab – or even Uber – to make a trip, chances are your destination was relatively close by.

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Either that or you were late for work, but let’s put that aside for the sake of this article.

This is consistent with the image provided whereby the journeys spanned across rather short distances instead of long – in which case, most people would simply take public transportation instead.

That actually explains how eerily consistent the journeys are.

So the conclusion? People tend to ride-hail if they stayed relatively near where they worked.

Featured image from Facebook and Grab