Published June 2, 2026 | Version v1

Analytical Protocol to assess population accessibility from street networks (D2.4)

  • 1. Etude des Structures, des Processus d'Adapatation et des Changements de l'Espace
  • 2. CNRS
  • 3. ROR icon Étude des Structures, des Processus d'Adaptation et des Changements de l'Espace
  • 4. EDMO icon French National Center for Scientific Research (head office)

Contributors

Data curator:

  • 1. ROR icon Étude des Structures, des Processus d'Adaptation et des Changements de l'Espace
  • 2. CNRS

Description

This protocol Deliverable 2.4 of Work Package 2 (WP2) of the emc2 project, presents a methodology to calculate and assess the population catchment areas around urban street networks. The Population Potential in Catchment Area (PPCA) protocol is presented through a paper published on the SoftwareX journal. It is a Python-based workflow using OpenStreetMap (OSM) and Global Human Settlement (GHS) data and employing Google Earth Engine for data acquisition and morphometric analysis. Through a series of four automated steps, the protocol cleans, processes, and classifies geospatial data, ultimately yielding refined population estimations within defined catchment areas. This protocol enables researchers and urban planners to assess the population that can be potentially accessed on foot using the street network, within given distances. The protocol allows this assessment in any city across the world with minimal input requirements, focusing mostly on bounding box coordinates.

 

This resource was produced within the emc2 project, which is funded by ANR (France, grant ANR-23-DUTP-0003), FFG (Austria, grant FO999905461), MUR (Italy, grant 2024/0017648) and Vinnova (Sweden, grant 2023-02581) under the Driving Urban Transition Partnership, which has been co-funded by the European Commission.

Files

Population potential on catchment area (PPCA)_ A Python-based tool for worldwide geospatial population analysis.pdf

Files (13.5 GB)

Additional details

Related works

Is described by
Publication: 10.1016/j.softx.2025.102245 (DOI)

Funding

Agence Nationale de la Recherche
EMC2 - The Evolutive Meshed Compact City. A pragmatic transition pathway to the 15-minutes City for European metropolitan peripheries. ANR-23-DUTP-0003

Dates

Available
2026-02-05

Software

Programming language
Python