https://www.cnrs.fr./en/press/mobiliscope-hour-hour-population-and-social-mixing-55-french-and-canadian-city-regions

Mobiliscope: hour-by-hour population and social mixing in 55 French and Canadian city regions

April 07, 2021

Human and social sciences

Mobiliscope uses travel survey data to visually present how the social composition of a city or neighbourhood evolves over the course of 24 hours.
Along with a new interface and new features, the platform now includes 49 French city regions (covering 65% of the country’s population) and the 6 main city regions in Quebec, Canada.
As an open science tool (available in French and English) it meets the needs of different user profiles, particularly those of local stakeholders wanting to act "in the right place, at the right time".

Is this neighbourhood more frequented during the day by white or blue collars? By women or men? Which mode of transport is most used to get to the city centre during the day? What are the most appropriate public service opening hours for these potential clients? By mapping the demographic and social characteristics of the population on an hour-by-hour basis, the Mobiliscope geovisualisation platform provides answers to these types of questions. A total of 65% of the French population is now covered by the new version, which has been redesigned to meet the needs of those involved in urban planning and mobility. Developed by a CNRS1 team, Mobiliscope uses data mainly from the Centre d'études et d'expertise sur les risques, l'environnement, la mobilité et l'aménagement (Cerema) and is supported by the Agence nationale de la cohésion des territoires.

1From the Géographie-cités laboratory (CNRS/Université Paris 1 Panthéon-Sorbonne/EHESS/ Université de Paris).

Through its mapping of the population present in neighbourhoods on an hourly basis and by measuring the segregation of towns during the day, Mobiliscope shows that the social composition of a neighbourhood cannot be reduced to a profile of the people who spend the night there. Scientists and public actors are able to observe the phenomena of gentrification or impoverishment on a daily basis, which would be invisible if they were limited solely to residential areas, whilst also making the temporalities of public action coincide with those of populations and territories.

Mobiliscope’s latest version adds 26 French metropolitan and overseas areas (Martinique and Réunion) to the previous 23 French and 6 Canadian city regions. The tool now covers 10,000 French municipalities, in which 65% of the country's population lives, by using and transforming data on the 2,528,000 journeys made by 792,000 people interviewed during large-scale public surveys. In France, these surveys are commissioned by local authorities, approximately every 10 years, and are carried out according to a standardised Cerema methodology (except for the Île-de-France region)2 . Unlike mobile phone data, the surveys provide sociological information (age, sex, socioprofessional category) and also the reasons for travel and the modes of transport used.

Major trends have emerged for all the agglomerations covered by the tool3 : parity between males and females decreases sharply in neighbourhoods during the day, with some areas becoming predominantly female and others predominantly male, in relation to the volume, location and timing of activities (professional and domestic) to which the two sexes are unequally subjected. The social segregation observed at a residential level for every city region is also reproduced during the day, despite (or precisely because of) daily travel: the richest and poorest remain the social groups for which for which intermingling is lowest during the day, in contrast to the middle classes, which are systematically more dispersed over the territory, during day or night.

In addition to this geographical extension, a major overhaul of the interface and new functionalities now meets the needs of different user profiles: public policy and regional planning specialists, scientists, the world of education and the general public. For example, the new version makes it possible to identify the inhabitants of priority neighbourhoods within the urban policy4 . Another new feature is the OpenStreetMap which makes it easier to find your way around the interactive map and locate public buildings or other facilities (universities, hospitals, business parks, etc.), clarifying the daily rhythms of each region.

Since its inception, this tool has been offered under a free licence. Mobiliscope, continuing its commitment to open science, will also make the French datasets collated by the geographers and geomaticians who designed the tool available under an open licence.

Visit the Mobiliscope: mobiliscope.cnrs.fr

maps — **Screenshots of the Mobiliscope for Rouen, Montreal, Marseille and Toulouse and their suburbs.** The time axis allows the data to be animated hour by hour. The user can choose to display the whole population or a selected category according to its demographic profile (sex or age), its social profile (level of education, socioprofessional category, household income or professional occupation), its residential area profile, the type of activity carried out or the last mode of transport used. It is also possible to restrict the display of the population present to non-resident persons only. The finest spatial scale proposed corresponds to neighbourhoods in towns and to a municipality or a group of municipalities in less dense areas: reducing to a more local scale (or even cross-referencing between sociodemographic categories) could in fact lead to unrepresentative results.

2The data from most French surveys are disseminated by the Archives de données issues de la statistique publique (Adisp), a system developed within the very large-scale research facility Progedo (CNRS/EHESS), and are accessible to the entire scientific community.
3The surveys used date to before the Covid-19 crisis.
4This term refers to the 1500 neighbourhoods of urban cohesion and solidarity French policies (‘Quartiers Prioritaires en Politique de la Ville’) with the residential concentration of low-income households as a delimitation criterion.