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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| Formato: | Tesis de maestría |
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2026
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| Acceso en línea: | https://hdl.handle.net/20.500.14769/5275 |
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I32-R138-20.500.14769-5275 |
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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) |
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I-32 |
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R-138 |
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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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1865139476969291776 |