Measuring access to services in French regions - David Levy, INSEE. Workshop on Modernising Statistical Systems, OECD 2018.

1. David Levy
Insee
Measuring access to services in
French region

2. 5 novembre
2018INSEE – Route optimization
The needs
The extent to which many types of services are
physically accessible to individuals located in different
places
How to locate a public equipement to allow maximum
of individuals to access it in a reasonable time

3. 5 novembre
2018INSEE – Route optimization
Examples
Health policy : how far are located individuals to health
services ?
For each cities (36 000), we need to know the distance
(kilometers, minutes) to access the main health services
(about 15).

4. 5 novembre
2018INSEE – Route optimization
Time to access the main health services

5. 5 novembre
2018INSEE – Route optimization
Inside a city
Transportation policy: how far are located individuals to a
subway or tramway station ?
We use the same application. Instead of road network, we
use public transportation network (GTFS file)

6. 5 novembre
2018INSEE – Route optimization
The use of urban by transport distances
14% of the population more than 30 minutes
from a subway stop in Marseille

8. 5 novembre
2018INSEE – Route optimization

9. 5 novembre
2018INSEE – Route optimization

10. 5 novembre
2018INSEE – Route optimization
How we do it ?
With informations from
- IGN (National Institute of Geography) we produce a road
network
- public transportation society (as RATP in Paris) we use
GTFS files (description of the network) directly in our
software
We calculate the best path from a start point to an end
point
R-Shiny web application

11. 5 novembre
2018INSEE – Route optimization11
R-Shiny application

12. 5 novembre
2018INSEE – Route optimization12
And next ?
We actually test the possibilty of use Open Street
Map API
API can be called from our R-Shiny application