Where to build new bicycle parking spots in Paris? Supporting data-driven decision-making with open data

We build a Paris Parking Demand Index prototype that maps bike parking supply against demand indicators, helping the City of Paris decide where new spots are needed most.

Exploratory AnalysisModeling AdministrativeOpen Data

Status: Finished
Project Period: July 2022 – December 2022
Outputs: Code Repository Web App/Dashboard
Local Chapter: Paris
Partner: City of Paris

The administration of the city of Paris, France.
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The project with the City of Paris that aimed to support data-driven decision making with open data. The CorrelAid team focused on where to build new bicycle parking spots in Paris. The main output of the project is a prototype of the Paris Parking Demand Index. It is a map that shows bike parking supply and indicators for parking demand (using open data) at the scale of IRIS (the smallest statistical spatial units used in France). The prototype serves as valuable input for the the data scientists who have joined the City of Paris since the start of the project.