Detailed description (English): The project “Mobility Indicators in the City of Malaga (2024) Big Data Technology” applies advanced Big Data technology to analyse, monitor, and update mobility indicators in the city of Malaga. Its main innovation lies in the integration of anonymized mobile phone geolocation data with public transport card validations, which allows for highly accurate characterization of travel flows and urban mobility habits.
Through massive analytics and spatial modelling techniques, the system identifies patterns of active mobility, public and private transport, generates origin-destination matrices, and analyses the hourly distribution and sociodemographic profiles of travel. This methodology provides continuous, objective, and representative information that is far superior to traditional methods based on surveys or spot counts.
The project responds to the need for an up-to-date knowledge base that enables data-driven sustainable mobility policy planning. The results facilitate the optimization of public resources, improved territorial planning, and compliance with the commitments of the SUMP, the Low Emission Zone (LEZ), the TEN-T Network, and the European Cities Mission towards Climate Neutrality 2030.
Strategically, this system will be updated annually, consolidating itself as a dynamic mobility observatory that will enable the evaluation of changes in citizens' habits and guide decisions towards a more efficient, healthy, and climate-neutral city.
Detailed description (original language): El proyecto “Indicadores de Movilidad en la ciudad de Málaga (2024) Tecnología Big Data” aplica tecnología Big Data avanzada para el análisis, seguimiento y actualización de los indicadores de movilidad en la ciudad de Málaga. Su principal innovación radica en la integración de datos anonimizados de geoposicionamiento de telefonía móvil con las validaciones de tarjetas de transporte público, lo que permite caracterizar con alta precisión los flujos de desplazamiento y los hábitos de movilidad urbana.
A través de técnicas de analítica masiva y modelización espacial, el sistema identifica patrones de movilidad activa, transporte público y privado, genera matrices origen–destino, analiza la distribución horaria y los perfiles sociodemográficos de los desplazamientos. Esta metodología ofrece una información continua, objetiva y representativa, muy superior a los métodos tradicionales basados en encuestas o conteos puntuales.
El proyecto responde a la necesidad de disponer de una base de conocimiento actualizada que permita planificar políticas de movilidad sostenible basadas en datos. Los resultados facilitan la optimización de recursos públicos, la mejora de la planificación territorial, y el cumplimiento de los compromisos del PMUS, la ZBE, la Red TEN-T y la Misión Ciudades Europeas hacia la Neutralidad Climática 2030.
Estratégicamente, este sistema se actualizará anualmente, consolidándose como un observatorio dinámico que permitirá evaluar la evolución de los hábitos ciudadanos y orientar las decisiones hacia una ciudad más eficiente, saludable y climáticamente neutra.
Target group(s): The project is aimed at all citizens of Malaga, as the direct beneficiaries of more efficient, sustainable mobility that is adapted to their real needs. By analysing all modes of transport—active, public, and private—the system makes it possible to measure the modal shift towards sustainable alternatives and evaluate the impact of mobility policies on urban quality of life.
The project also benefits transport system operators and managers, both public and private, by providing accurate and up-to-date data on travel patterns. This information facilitates intermodal coordination, route and frequency optimization, and improved operational efficiency.
The project has the support and accreditation of the Mobility Department of Malaga City Council, ensuring institutional validity and integration with municipal strategies. Overall, this initiative contributes to generating a shared knowledge base that promotes active mobility, improves infrastructure planning, and accelerates the transition to a healthier, more inclusive, and low-emission urban model, fulfilling the commitments established in the SUMP, the Low Emission Zone, the TEN-T Network, and the European Cities Mission towards climate neutrality.
Objectives: - Obtain a dynamic and detailed diagnosis of urban mobility by combining Big Data technology and public transport card validations.
- Analyse the modal distribution of trips and origin-destination matrices with a territorial and sociodemographic approach.
- Identify time patterns and travel profiles according to age, gender, income level, reason, and activity.
- Provide objective and comparable data to support sustainable mobility planning and strategic decision-making.
- Contribute to the fulfilment and verification of the commitments established in the SUMP, the Low Emission Zone, the TEN-T Network, and the European Cities Mission towards climate neutrality.
- Promote active mobility and the optimization of public transport through reliable, continuous, and evidence-based information.
Partner: - Malaga City Council – Mobility Department
- Empresa Malagueña de Transportes, S.A.M. Municipal company operating Málaga’s public bus network
- Metro Málaga. Regional light rail operator managed under the Andalusian Regional Government
- Consorcio de Transporte Metropolitano del Área de Málaga (CTMAM). Regional transport consortium coordinating mobility across the Málaga metropolitan area
- Renfe. National railway operator under the Spanish Ministry of Transport.
- Telecommunications operators
Spain