Identify if a point falls within a travel time polygon area
Calculate travel times to every point within a polygon area
Draw the travel time polygon if you require a visualisation
It includes code examples in many languages including Python, R, Java and
JavaScript
At the end of the tutorial we will also include answers to the most important
questions:
How much will it cost me?
How many polygons can I create?
Which transport modes can I use to do this?
Where do you get your data?
Example use case
A retailer wants to filter their database of 500 customers to see how many
fall within a 30 minute drive of their newly proposed ‘Times Square, New York’
store location. We’ll use this example throughout this tutorial, but you can
adjust your request to suit your needs.
Filtering point in a polygon & calculating travel times to every reachable
point
In our example, the retailer finds out that 375 of their 500
customers in their database fall within a 30 minute drive, and
125 are unreachable in this time limit. The retailer can see
the exact amount of time from the store to the 375 reachable
customers. For the remaining 125, there is no value
calculated.
To get this information, we use the
Travel Time Matrix API, using the
time filter endpoint. The request requires the user to specify
some parameters:
Transport mode
Departure time or arrival time. If you don't want a specific time, you can
use a range, explore this option more
here.
Location lat/long
Travel time
In our example we've chosen:
Driving
Departing at 3pm
'Times Square, New York' as our location
30-minute travel time catchment area
The snippet above is a cURL request. We've included some examples for the most
common coding languages. The code snippets assume that customers data is read
from the 'custom.csv' file. However, it could be your designated database, CRM
or other system.
Point in polygon Java
Java code snippet in a nutshell
Reads the "customers.csv" file - the retailer's "database" consisting of 500
ids and location coordinates of customers as per example use case
description above
Accepts the following parameters, required for time filtering: Transport
mode, Departure time, Location, Travel time
Calculates the results and logs the unreachable customers list to a console
Additional information for using TravelTime API with Java can be found
here
Point in polygon R
R code snippet in a nutshell
Reads the "customers.csv" file - the retailer's "database" consisting of 500
ids and location coordinates of customers as per example use case
description above
Accepts the following parameters, required for time filtering: Transport
mode, Departure time, Location, Travel time
Calculates the results, pretty prints the reachable customers to a separate
.json format file and logs the unreachable customers to a console
Additional information for using TravelTime API with R can be found
here
Point in polygon Python
Python code snippet in a nutshell
Reads the "customers.csv" file - the retailer's "database" consisting of 500
ids and location coordinates of customers as per example use case
description above
Accepts the following parameters, required for time filtering: Transport
mode, Departure time, Location, Travel time
Calculates the results, pretty prints the reachable customers to a separate
.json format file and logs the unreachable customers to a console
Additional information for using TravelTime API with Python can be found
here
Point in polygon JavaScript
JavaScript code snippet in a nutshell
Reads the "customers.csv" file - the retailer's "database" consisting of 500
ids and location coordinates of customers as per example use case
description above
Accepts the following parameters, required for time filtering: Transport
mode, Departure time, Location, Travel time
Calculates the results, pretty prints the reachable customers to a separate
.json format file and logs the unreachable customers to a console
Additional information for using TravelTime API with JavaScript can be found
here
Drawing the travel time polygon
The snippet below shows the API request needed so that the retailer can draw a
30 minute drive time area from 'Times Square, New York'. If you need a more
detailed tutorial on how to visualise this shape on a map,
please follow this
tutorial.
This uses the
Isochrone API. The parameters used in this request
are the same as the Time Filter
endpoint request above.