Data which are used in the Mobislicope come from Origin-Destination surveys (from 2009 to 2018).
Only trips occurring weekdays (Monday-Friday) have been considered.
Number and proportion of present population by district and hour have been estimated from survey data. They are therefore subject to a statistical margin of error.
In the left-hand menu, you can choose one indicator and the map representation, eitheir as aof the total population, or in numberor in flows
To get informations about indicators and their composing groups, click Q 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 district of residence.
At the top of the screen, click play buton in the timeline to scroll through the hours.
Select one district by clicking on the map and have a look on the chart at the lower right corner of your screen.
With this chart, you can follow daily evolution of selected indicator in the selected district.
By clicling on "stacked" mode, you can see all groups of selected indicators.
Colors on maps and charts have the same color code than the lef-hand indicator menu. In the above picture, public transportation are in blue, private motor vehicule are in pink and soft mobility in green.
Ar the top right corner, the chart give information about daily evolution of spatial distribution of people in the whole region for the selected indictaors.
To get informations about the two available indexes (Duncan et Moran), click Q button on the right side.
22 french city regions are included in the actual version of the Mobiliscope(2019). To access another city region, use magnify tool
By reading methods pages, you can get more information about geovisualition platform, indicators and data which are currently used in the Mobiliscope.
Data from 'origin-destination' surveys may be difficult to handle and use. The Mobiliscope may be helpful for public and municipal actors who want to know how their whole city region (or only one specified district) changes around the clock.
Such spatio-temporal knowledge may be usefull when one want to implement interventions in areas with high concentrations of 'priority populations' not only during the night but also during the day. Crossing information about night-time and day-time segregation would then be useful for every public action aiming to reduce social inequalities in the city.