IFS use TravelTime to calculate 3.2 billion journey times

by Louisa Bainbridge
on Apr 16, 2019

About the IFS

The Institute for Fiscal Studies (IFS) was launched with the principal aim of better informing public debate on economics in order to promote the development of effective fiscal policy. It is Britain’s leading independent microeconomic research institute and covers subjects from tax and benefits to education policy, from labour supply to corporate taxation.


About the project

The IFS wanted to understand the relationship between commuting and the gender pay gap. This study was created after IFS figures showed the existence of a 'gender commuting gap'. The data showed that men spend longer commuting to work than women. The report shows the ‘gender commuting gap’ starts to widen after the birth of the first child in the family and continues to grow for around a decade after that. This bears a striking resemblance to the evolution of the gender wage gap.


TravelTime Analytics work

As part of the project, the IFS needed to measure the travel times between employment opportunities and different locations. This required TravelTime Analytics to calculate a huge volume of requests as they needed to do 40,000 origins to 40,000 destinations. This is a total of 1.6 billion routes needed. They also wanted to calculate the route using driving and public transport. This means that TravelTime Analytics calculated a total of 3.2 billion journey times.

The end result was a large volume of CSV files calculating the travel times from a single origin to every destination, using both driving and public transport. The total volume of data required was 120GB. The data was processed and returned to the client in under 1 working week.

Journey times were calculated assuming the user arrived by 8.45am. When using public transport it understands that the user must walk to the first stop, wait for the next timetabled service, take the journey and exit the relevant station. This is repeated if the user must make transport connections.


Why use TravelTime?

  • No development skills needed - we handle all the code and output easy to understand CSV files.
  • We can process large volumes of origin-destination pairs.
  • Price - Google's price per element is $0.004 USD when buying 100,001–500,000.  (Pricing for requests over 500k not available on the website). If using this pricing model, this job would've cost $12.8 million, making this type of analysis on Google not financially possible. 

Request a travel time matrix

We do all the development work, you can just send us a CSV file with thousands of origins and thousands of destinations. Click the button below to request a quote. 


IKEA's marketing team uses TravelTime to create a drive time map

IKEA uses TravelTime to build a drive time map. See how their marketing team use it to adjust messaging to their audience.

Evelina Bezubec Oct 9, 2019

TravelTime platform releases isochrone QGIS plugin

Create a QGIS isochrone using the TravelTime platform API. API keys are free to use for non-commercial purposes. You can also calculate a distance matrix and routing using the plugin.

Louisa Bainbridge Jun 12, 2019

TravelTime case study: healthcare development analysis

The Megahospital challenge is a tool created using the TravelTime API by Border City Data. See how the app was built for healthcare development analysis.

Niharika Sisodia Mar 26, 2019

The top 10 office relocation blogs

Our 10 favourite blogs to help with office relocation. Moving office guides to analyse potential areas for your office and plot staff addresses and manage time effectively when relocating.

Niharika Sisodia Jan 8, 2019

How to personalise your geolocator to improve user experience

Design your geolocator to improve user experience. Consider user journey when requesting geolocation from visitors to your site. Use geolocation to help users discover your services.

Niharika Sisodia Dec 18, 2018

5 ways to increase conversion rates using a map

Discover how using a map can increase conversion rates for your product or service. Increase the relevance of results for your users. Encourage users to take the desired action by filtering out irrelevant results.

Niharika Sisodia Dec 27, 2018