Tuesday, 20 April 2021

Gestión de la Movilidad

La línea de investigación Gestión de la Movilidad se divide en dos grandes áreas,  Análisis y Evaluación de la Movilidad, y Modelización y Optimización, cada una de las cuales especializada a su vez en diferentes aspectos de las movilidad.

En el área de Análisis y Evaluación de la Movilidad la investigación se centra en el análisis y planificación de la movilidad urbana e interurbana y su sostenibilidad: planes de movilidad urbana sostenible, promociones de viajes a pie y en bicicleta. Por otro lado se analizan las externalidades y se diseñan encuestas de movilidad de viajeros para la previsión y gestión de infraestructuras de transporte.

Por otro lado, dentro del área de Modelización y Optimización, las investigaciones están orientadas a diseñar redes de transporte público y crear modelos de demanda de transporte.


Investigador Responsable

Dr. Andrés Monzón de Cáceres, Catedrático en Ingeniería Civil: Transporte.


Otros investigadores


Dra. Rocío Cascajo Jiménez Dra. Mª Eugenia López Lambas
Dra. Elena López Suárez
Dra. Cristina Valdés Serrano
Dra. Cristina López Gª de Leániz Dra. Yang Wang
Álvaro García Castro Fiamma Pérez Prada
Andrés García Martínez Andrea Alonso Ramos
Begoña Muñoz López Ana Barberán
Mª Victoria Fernández
Guillermo Velázquez



insightINSIGHT. Innovative Policy Modelling and Governance Tools for Sustainable Post-Crisis Urban Development
Period (provisional): September 2013 - September 2016
Financing entity: European Commission, 7th Framewok Programme
Researchers: Andrés Monzón
Status: Ongoing

Project link: INSIGHT



Cities embody the twofold challenge currently facing the European Union: how to improve competitiveness while achieving social cohesion and environmental sustainability. They are fertile ground for science and technology, innovation and cultural activity, but also places where problems such as environmental pollution, unemployment, segregation and poverty are concentrated.

INSIGHT aims to investigate how ICT, with particular focus on data science and complexity theory, can help European cities formulate and evaluate policies to stimulate a balanced economic recovery and a sustainable urban development. The objectives of the project are the following:

  1. to investigate how data from multiple distributed sources available in the context of the open data, the big data and the smart city movements, can be managed, analysed and visualised to understand urban development patterns;
  2. to apply these data mining functionalities to characterise the drivers of the spatial distribution of activities in European cities, focusing on the retail, housing, and public services sectors, and paying special attention to the impact of the current economic crisis;
  3. to develop enhanced spatial interaction and location models for the retail, housing, and public services sectors;
  4. to integrate the new theoretical models into state-of-the-art simulation tools, in order to develop enhanced decision support systems able to provide scientific evidence in support of policy options for post-crisis urban development;
  5. to develop innovative visualisation tools to facilitate stakeholder interaction with the new urban simulation and decision support tools and the analysis and interpretation of the simulation outcomes;
  6. to develop methodological procedures for the use of the tools in policy design processes, and evaluate and demonstrate the capabilities of the tools through four case studies carried out in cooperation with the cities of Barcelona, Madrid, London, and Rotterdam.


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