To improve urban life and address environmental concerns, walking is becoming an essential mode of transport to be promoted. Long neglected, walking offers considerable advantages: it's environmentally friendly, accessible to all, beneficial to public health and social inclusion.
Local authorities are gradually realizing that encouraging people to walk requires specific planning initiatives, at the crossroads of mobility and urban planning.
However, to implement effective public policies in favor of walking, it is essential to rely on objective data. Understanding who walks, where, when and why enables us to identify real needs and prioritize investments where they will have the greatest impact. It is precisely this data-driven approach that the Département de Seine-Saint-Denis in France has chosen to adopt.
Prior to the implementation of a data-driven diagnosis, the council lacked the factual elements needed to :
Without such data, decisions were based on subjective estimates, making it difficult to prioritize projects and effectively allocate budgets dedicated to walkability.
The department drew on the expertise of CEREMA (Center for Studies and Expertise on Risks, the Environment, Mobility, and Development) to carry out an in-depth qualitative assessment of walkability at six pilot sites in the region.
CEREMA has developed a structured methodology for assessing the quality of pedestrian spaces:
Find out more about the diagnosis here (in French).
The Département also worked with Eco-Counter to carry out a VisitorFlow study between July 2023 and January 2024. The report analyzes pedestrian traffic around the Robespierre metro station in Montreuil. It is based on a methodology combining automatic counting data (collected thanks to our CITIX-AI camera counter, using Artificial Intelligence to count and classify several practices) and cellphone data. Field data is used to adjust estimates of pedestrian flows based on cell phone data, reinforcing the reliability of the results.
The study enabled us to :
The VisitorFlow study analysis of pedestrian flows highlighted travel patterns and identified priority development needs:
The findings of the VisitorFlow study and the diagnosis carried out with CEREMA were used to inform the walking strategy and plan, adopted on May 22, 2025. The plan is structured around three areas of action:
The experience of the Département de Seine-Saint-Denis offers valuable lessons for other areas wishing to develop a data-driven walkability policy.
Lesson 1: Combining qualitative and quantitative methods enriches diagnosis
The combination of CEREMA's qualitative assessment (walking diagnosis, multi-criteria analysis) and usage data drawn from VisitorFlow (automatic counts, cell phone data) provides a comprehensive and nuanced view of pedestrian reality.
Lesson 2: Initial hypotheses must be compared with field data
The average speed of travel observed (3 km/h) differs significantly from the standards usually used in developments (5 km/h). This illustrates the importance of measuring actual behavior rather than relying solely on generic standards. Each territory has its own specificities, which require local data in order to design appropriate facilities.
Lesson 3: Data as a tool for dialogue and mobilization
Beyond their technical usefulness, pedestrian data are a powerful tool for dialogue with elected representatives, technical departments, local authorities and residents. They help to overcome subjective opinions, create a common language and unite players around a shared vision of walking in the city.
Would you like to find out more about our VisitorFlow solution?