Analysing flows to support neighbourhood planning


The way we think about community life is evolving, family units are changing, the ways we work, consume, travel and enjoy time out are shifting, and all this is reshaping the way we relate to cities, individually and collectively. For a city such as Paris, urban innovation is a sine-qua-non to constantly enhance its appeal and accommodate its people’s evolving lifestyles. Paris City Council introduced its Réinventer Paris project to do precisely that.

This project’s partners are hoping this challenge will provide new insights to shed light on Parisians’ behaviour patterns and emerging trends. A solution to analyse data from a variety of sources on a neighbourhood scale could help planners to understand the various ways in which people relate to their surroundings, predict the impact of future developments and strengthen a neighbourhood’s case to attract businesses.

the problem

How to analyse flows in order to support decisions relating to neighbourhood planning.  


use cases and experimented fields

The discussions and experiments in this challenge will broach the issues from three angles:

  • Enlightening decisions on neighbourhood planning
    • The goal, here, is to understand how people living in a given neighbourhood interact with the area. This will involve analysing the existing situation in light of studies based on macroeconomic data and then factoring in dynamic data (residents’ habits, local lifestyles, social interconnections), to inform decisions on how to develop unused space (e.g. with shops, day-care centres, offices, etc.)

The experiment field could be a neighbourhood in the midst of widespread redevelopment, such as Clichy-Batignolles

  • Attracting new businesses
    • This will involve furnishing data analysis to help new shops (e.g. bakeries) or other businesses (e.g. day-care centres or office buildings) to fine-tune their approach. The goal is to home in on the type of business that will thrive by analysing accurate and consistent data to map out a business’ precise catchment area

This experiment could target an area embarking on an upswing, such as the 18th, 19th and 20th arrondissements in Paris, or cities skirting it such as Saint Ouen, Montreuil and Asnières sur Seine

  • Understanding and assessing the impact of permanent or temporary facilities on travel patterns (walking, cycling, etc.) and traffic
    • The goal, here, is to analyse data reflecting motor-vehicle, bicycle and pedestrian flows to inform decisions that will encourage soft mobility (cycling, walking) and ease motor-vehicle flows

This experiment will take place in Place de la Nation, where Cisco installed movement, presence, pollution and noise sensors in 2015


Business opportunities for the stakeholders
  • Nexity: complete existing studies with studies leveraging available data to guide its decisions regarding development and planning in new neighbourhoods
  • Paris City Council: provide businesses with an additional service to help them fine-tune their strategies
  • La Poste: understand trade flows on a local level and improve its post and parcel delivery network
  • SFR: extract value from mobile data in an urban-planning use case
  • The startup: develop technology that urban planners may use to leverage the data from the partners listed above


data sets

The partners will supply the following data to conduct the experiment in this challenge:


Travel-related data from mobile devices (technical data from GSM antennas) for a representative sample (approx. 30% of the population), covering uninterrupted periods (24/7) in France (locals and foreigners)


Anonymised data from its transaction records, i.e. transaction amounts, user profiles, payment methods (contactless, smartphone or touchpad), geolocations (merchant codes), times and average purchases


The Paris trade database: BDCom and open-source data


Data from the sensors it installed in Place de la Nation in September 2015 to assess the impact of future developments. It has since gathered a substantial amount of data and will share it with the startups working on this challenge


Data on its IRIS statistical information clusters, in this case macroeconomic data that may complete the other available data set


JCDecaux/Connecthings experiment beacons devices in several pieces of urban furniture (including bus shelters) and can provide the data for all the parisian territory


partner experts


Pauline Cohadon
Semaest - Head of Innovation

 Emmanuel Faure
Apur - Data Visualisation Project Manager

Benjamin Favriau
Place de la Nation Expert


Bénédicte Crozon
Deputy CEO, Cities & Projects

Sonia Lemaitre
Nexity - Project Manager


Elodie Bonnet
Big Data Product Manager


Thierry Gruszka
Senior Technology Manager


 Claire Normand Loya
Head of Marketing and Surveys