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Towards Sustainable Urban Transport Planning in Cities with Complex Topography: A Case Study of Constantine, Algeria Using Spatial Data Analytics and Predictive Modelling

Domaine:

mobilitygeospatial

Type de record:

datasetsoftware
Créateur:
bou
Éditeur:
bou
Éditeur:
Zenodo
Hôte:avatar
This dataset supports the study “Towards Sustainable Urban Transport Planning in Cities with Complex Topography: A Case Study of Constantine, Algeria Using Spatial Data Analytics and Predictive Modelling”.
It includes processed OD flow data, mean slope measurements, classified slope maps, and Python scripts used for regression and accessibility analysis in QGIS 3.40 and Anaconda.
All data are derived from open sources (NASA SRTM, OpenStreetMap) and are released under the CC BY 4.0 license for reproducibility and reuse.
 
 
 
 

Languages

Arabic, Algerian Spoken

Tags

Gis digital systemTransport planningGRAVITY MODELCorneal TopographyALGERIAUrban mobilityPREDICTIVE MODELLING

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 International (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/

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