Help to use the Mobiliscope

1) Preliminary notes

Initial data come from French and Canadian Origin-Destination surveys (from 2009 to 2019).

Only trips occurring weekdays (Monday-Friday) have been considered. Number and proportion of present population aggregated by district and hour have been estimated from survey data. They are therefore subject to a statistical margin of error.

55 city regions are included in the actual version of the Mobiliscope (v4.0).
To access city region, use magnify tool . You can also select city region in the drop-down menu .

2) Select a map

In the left-hand menu, you can choose one indicator and the map representation, eitheir as aof the total population, or in number or in flows.
To get informations about indicators, click button on the right side.


With flows maps you get number of non-resident people at district level. With links (on mouseover), you can know their main district of residence. This mode is not available on touch screens.


3) Change hours

At the top of the screen, click play button in the timeline to scroll through the hours.


4) Explore a specific district

Select one district by clicking on the map and have a look on the chart at the top right corner of your screen.


With this chart, you can follow daily evolution in the selected district (for the selected indicator).


By clicking on 'stacked' mode, you can see all groups of the selected indicator.


Colors on maps and charts have the same color code than the left-hand indicator menu. In the above picture, public transportation are in blue, private motor vehicule are in pink and soft mobility in green.

5) Explore spatial segregation

At the lower right corner, the chart give information about segregation level in the whole region for the selected indicator.


To get informations about the two available indexes (Duncan et Moran), click button on the right side.

6) Change map background

Two OpenStreetMap layers can be displayed: a simple information layer and a more detailed one (by clicking in the ) :


In French city regions, you can also display the layer of 'Poverty Areas' via the layers menu .


7) Download data

By clicking on the button above the central map, you can download data agregated data by district and by hour. By clicking on the button next to the bottom graph, you can also download segregation data (Duncan's or Moran's index) in the whole region over the 24 hours period.

To go further

To get more information about geovisualition platform, indicators and data which are currently used and displayed in the Mobiliscope, you can read Data, Indicators or Geovizualisation pages.


A scientific tool

The Mobiliscope falls within several scientific fields (eg. geography, sociology, transportation, economy) and draws notably upon the 'time-geography' approach.

In litterature on social segregation or neighbourhood effects, daily mobility remains understudied. While social scientists have invested a lot of energy in exploring the uneven distribution of social groups in the city, they have surprisingly limited their efforts to investigating the social composition of the residential population. Yet, daily commuting can (i) lead people to be exposed to neighbourhoods other than their neighbourhoods of residence alone and (ii) cause changes in the social composition of neighbourhoods. Rather than considering neighbourhoods as necessarily frozen over a 24h period, the Mobiliscope can help removing ‘clock blinders’ and to explicitly consider the daycourse of place for a better understanding of inequalities (education, employment, health, etc.).

A large range of thematical and methological fields are actually concerned.

  • Hourly maps and charts displayed in the Mobiliscope can be explored to highlight to what extent urban experiences vary around the clock but also across age group, gender and social class.
  • A large range of city regions can also be compared according to their segregation level not only at night but also during the day.
  • Data issued from the Mobiliscope can also feed simulation models and agent-based models (ABM) in which spatial-temporal data on population trips or presences benefit from being integrated to simulate dynamics over hours, and ultimately over years.
  • Last exemple : When assessing area-based interventions and their efficiency, it could be interesting to take into consideration the spatio-temporal locations of the people in need of support (instead of just their residential locations).

"Target areas for public interventions aiming to reach people"
in Challenges in targeting areas for public action. Target areas at the right place and at the right time.