Machine learning for spatial disaggregation of regional transport data in the EU

Tesis Energía y Ambiente (maestría) - Instituto Tecnológico de Buenos Aires, Buenos Aires - Karlsruher Institut für Technologie, Karlsruhe, 2023

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Autor principal: Fernandez, Juan R.
Formato: Tesis de maestría
Lenguaje:Inglés
Publicado: 2026
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Acceso en línea:https://hdl.handle.net/20.500.14769/5275
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id I32-R138-20.500.14769-5275
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spelling I32-R138-20.500.14769-52752026-03-18T07:45:14Z Machine learning for spatial disaggregation of regional transport data in the EU Fernandez, Juan R. MACHINE LEARNING, SPATIAL DISAGGREGATION, TRANSPORT DATA, EUROPEAN UNION, SELF-SUPERVISED LEARNING, HYBRID REGRESSION, DASYMETRIC MAPPING, GEOSPATIAL ANALYSIS APRENDIZAJE AUTOMÁTICO, DESAGREGACIÓN ESPACIAL, DATOS DE TRANSPORTE, UNIÓN EUROPEA, APRENDIZAJE AUTO-SUPERVISADO, REGRESIÓN HÍBRIDA, MAPEADO DASIMÉTRICO, ANÁLISIS GEOESPACIAL Tesis Energía y Ambiente (maestría) - Instituto Tecnológico de Buenos Aires, Buenos Aires - Karlsruher Institut für Technologie, Karlsruhe, 2023 This thesis develops a machine learning framework for the spatial disaggregation of transport-related data across European Union regions. Using a self-supervised hybrid regression approach combined with dasymetric mapping and ancillary geospatial data, the study improves estimation accuracy at NUTS-3 level. Results demonstrate the potential of data-driven methods to support regional decarbonization strategies. 2026-03-17T17:45:30Z 2026-03-17T17:45:30Z 2023-06-23 Tesis de maestría https://hdl.handle.net/20.500.14769/5275 en application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic MACHINE LEARNING, SPATIAL DISAGGREGATION, TRANSPORT DATA, EUROPEAN UNION, SELF-SUPERVISED LEARNING, HYBRID REGRESSION, DASYMETRIC MAPPING, GEOSPATIAL ANALYSIS
APRENDIZAJE AUTOMÁTICO, DESAGREGACIÓN ESPACIAL, DATOS DE TRANSPORTE, UNIÓN EUROPEA, APRENDIZAJE AUTO-SUPERVISADO, REGRESIÓN HÍBRIDA, MAPEADO DASIMÉTRICO, ANÁLISIS GEOESPACIAL
spellingShingle MACHINE LEARNING, SPATIAL DISAGGREGATION, TRANSPORT DATA, EUROPEAN UNION, SELF-SUPERVISED LEARNING, HYBRID REGRESSION, DASYMETRIC MAPPING, GEOSPATIAL ANALYSIS
APRENDIZAJE AUTOMÁTICO, DESAGREGACIÓN ESPACIAL, DATOS DE TRANSPORTE, UNIÓN EUROPEA, APRENDIZAJE AUTO-SUPERVISADO, REGRESIÓN HÍBRIDA, MAPEADO DASIMÉTRICO, ANÁLISIS GEOESPACIAL
Fernandez, Juan R.
Machine learning for spatial disaggregation of regional transport data in the EU
topic_facet MACHINE LEARNING, SPATIAL DISAGGREGATION, TRANSPORT DATA, EUROPEAN UNION, SELF-SUPERVISED LEARNING, HYBRID REGRESSION, DASYMETRIC MAPPING, GEOSPATIAL ANALYSIS
APRENDIZAJE AUTOMÁTICO, DESAGREGACIÓN ESPACIAL, DATOS DE TRANSPORTE, UNIÓN EUROPEA, APRENDIZAJE AUTO-SUPERVISADO, REGRESIÓN HÍBRIDA, MAPEADO DASIMÉTRICO, ANÁLISIS GEOESPACIAL
description Tesis Energía y Ambiente (maestría) - Instituto Tecnológico de Buenos Aires, Buenos Aires - Karlsruher Institut für Technologie, Karlsruhe, 2023
format Tesis de maestría
author Fernandez, Juan R.
author_facet Fernandez, Juan R.
author_sort Fernandez, Juan R.
title Machine learning for spatial disaggregation of regional transport data in the EU
title_short Machine learning for spatial disaggregation of regional transport data in the EU
title_full Machine learning for spatial disaggregation of regional transport data in the EU
title_fullStr Machine learning for spatial disaggregation of regional transport data in the EU
title_full_unstemmed Machine learning for spatial disaggregation of regional transport data in the EU
title_sort machine learning for spatial disaggregation of regional transport data in the eu
publishDate 2026
url https://hdl.handle.net/20.500.14769/5275
work_keys_str_mv AT fernandezjuanr machinelearningforspatialdisaggregationofregionaltransportdataintheeu
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