Bike sharing · Sao Paulo, Brazil · Site selection

New bike docks where short trips are still made by car

Bruna plans new docks for a bike-share company in Sao Paulo. Each dock costs as much as a small car.

Listen to the story:

The challenge

Her team puts docks where people ask for them on social media. Half the new ones see a few rides a day. Meanwhile, thousands of short trips around the metro stations are still made by car, stuck in traffic.

How the flow works

With xMap Flows, Bruna built Spoke. Spoke is an AI employee: a flow of 7 blocks.

  1. Every three months,

    Every quarter (Schedule)

  2. Spoke lists the metro stations, universities and office towers,

    Stations, campuses, offices (Nearby places)

  3. learns how people travel to each one, and how far they come,

    How people travel there (Mobility Footfall)

  4. keeps the places where most trips are short and by car,

    Short trips by car (Filter)

  5. ranks the best twenty,

    The best twenty (Sort and limit)

  6. puts them on a map,

    New dock sites (Show on a map)

  7. and posts them to the planning team.

    To the planning team (Slack)

What it solves

The result

This quarter, Spoke finds twenty spots where most trips are under three kilometres and made by car, half of them around Paulista and Faria Lima. Bruna puts ten new docks there, and each sees four times the rides of last year’s docks.

Bruna stopped guessing where riders are. Now she goes where the short trips are.

20spots with short car trips
10new docks placed
4xrides per dock

An illustrative scenario: the figures are modelled to show what the flow produces, not a customer's results.

The flow, block by block

  1. 1

    Every quarter

    Schedule

    Starts the flow on a timetable.

  2. 2

    Stations, campuses, offices

    Nearby places

    Places around a point from xMap’s own places database (300M+ places, refreshed every month): pick the types of place (more than 5,000, such as Restaurant, Cafe, Pharmacy, Hospital or Gas station, or a whole group of them) and how far to look.

  3. 3

    How people travel there

    Mobility Footfall

    How busy the area around each place is, from xMap’s own mobility data: footfall per day, the busiest hour and day of the week, how the day splits into morning, midday, evening and late night, the trend on the week before, and where visitors come from and how they travel (trips).

  4. 4

    Short trips by car

    Filter

    Keeps only the items that match a rule.

  5. 5

    The best twenty

    Sort and limit

    Puts the items in order, and can keep only the first ones: the 10 best rated, the 20 nearest, the highest fit scores.

  6. 6

    New dock sites

    Show on a map

    Shows the results as points on a map, with the area of interest.

  7. 7

    To the planning team

    Slack

    Channel-based messaging platform

Templates to build it

Ready-made flows with the same blocks. Open one, change the city and the kind of place, and run it.

Industries

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