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

The Population Potential in Catchment Area (PPCA) protocol is a Python-based methodology designed to evaluate and analyze population distributions within specified pedestrian catchment areas globally. PPCA utilizes OpenStreetMap (OSM) and Global Human Settlement (GHS) data and employs 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 regions. 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 globally with minimal input requirements, focusing mostly on bounding box coordinates.

Authors

Institutions

Publication Details

Journal
SoftwareX
Published
2025-06-29
DOI
https://doi.org/10.1016/j.softx.2025.102245
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Giovanni Fusco, Joan Perez
SoftwareX
Land Use and Ecosystem Services
article

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

Giovanni Fusco, Joan Perez
article en

Abstract

The Population Potential in Catchment Area (PPCA) protocol is a Python-based methodology designed to evaluate and analyze population distributions within specified pedestrian catchment areas globally. PPCA utilizes OpenStreetMap (OSM) and Global Human Settlement (GHS) data and employs 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 regions. 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 globally with minimal input requirements, focusing mostly on bounding box coordinates.

SoftwareXVol. 31
Centre National de la Recherche Scientifique (FR), Institut de Chimie de Nice (FR)
Agence Nationale de la Recherche, VINNOVA, Österreichische Forschungsförderungsgesellschaft, Ministero dell'Università e della Ricerca, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 85%
Land Use and Ecosystem Services
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.