Automating Urban Cartography: A reproducible method for Agent-Based Simulation with QGIS and GAMA

This work presents a methodology for constructing two functional graphs—one for the roadnetwork and one for the pedestrian network—using data obtained from Open Street Map, pro-cessed and edited in QGIS and implemented in GAMA. Proper structuring of these graphsensures realistic vehicle and pedestrian mobility, guarantees model scalability, and prevents un-necessary overhead. In addition, this approach aims to reduce manual intervention in the mappingprocess, facilitating the reproducibility of the model in different cities and urban contexts.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-07
DOI
https://doi.org/10.5281/zenodo.15356513
Primary Topic
Global Cancer Incidence and Screening
Type
article
Field-Weighted Citation Impact
0.00
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article

Automating Urban Cartography: A reproducible method for Agent-Based Simulation with QGIS and GAMA

Zenodo (CERN European Organization for Nuclear Research)
Global Cancer Incidence and Screening
article

Automating Urban Cartography: A reproducible method for Agent-Based Simulation with QGIS and GAMA

article en

Abstract

This work presents a methodology for constructing two functional graphs—one for the roadnetwork and one for the pedestrian network—using data obtained from Open Street Map, pro-cessed and edited in QGIS and implemented in GAMA. Proper structuring of these graphsensures realistic vehicle and pedestrian mobility, guarantees model scalability, and prevents un-necessary overhead. In addition, this approach aims to reduce manual intervention in the mappingprocess, facilitating the reproducibility of the model in different cities and urban contexts.

Zenodo (CERN European Organization for Nuclear Research)
Universidad Carlos III de Madrid (ES)
Sustainable cities and communities
Openalex Percentile: Top 40%
Global Cancer Incidence and Screening
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