Pedestrian Flow

 

Reusing pedestrian flow data to optimize local decision making

Background

Understanding how people are using our cities in their daily life is a key constituent of creating effective, efficient places to live and work. The measurement of pedestrian flows creates data needed by a wide stakeholder group. Tourism offices, commercial development departments, chambers of commerce, local retailer associations, public works departments and more can reuse this data to improve their activities and decision-making processes.

      Description

      Saint-Quentin conducted a consultative process involving various local stakeholders including citizens, shop owners and municipal departments in order to list the main challenges that the city faces. A main output of the consultation is a common need to access to data measuring pedestrian flows in public space. Such needs included: 

      • Shopkeepers wanting to have a better understanding of their location attraction and potential; 
      • Municipal department in charge of commercial activity wanting to provide similar information to project developers 
      • Tourism officers wishing to have better visit data regarding unticketed points of interest;
      • Departments in charge of public works and urban planning are interested by these data for programming future redevelopment operations and evaluating before and after.

      Expected Outcomes

      • A fully GDPR compliant tool allowing a continuous and automated analysis of pedestrian flows in public space including volume, direction and routes. 
      • A Developing a correlation analysis by combining this data with other ones like event calendar, public work calendar, weather, days of the week
      • Allowing to different local stakeholders to access and visualize this information according to their needs and purposes : attractivity of commercial streets for local retailers, touristic attendance for Tourism Office, impact study before and after urban development operations

      NB: It is anticipated that this solution will have a close relationship with the solution proposed to the challenge ‘improve access and parking in the city centre’ in order to facilitate reuse of data, achieve interoperability, reduce silos and achieve economies of scale.

      Expected Impacts

      • Increased commercial attractiveness by measuring and sharing with shopkeepers, present or future ones, strategic data for their activities (increased applicants for premises, increased rates)
      • Faster and more effective decision-making process for programming urban redevelopment policies and evaluating their impact
      • Increased tourism income based on evidential data