Objective An efficient and just transport system is a key element of sustainable development and an indispensable component of coherent modern societies. Improving accessibility and reducing its disparities are the means that bridge the reduction of negative transportation outcomes with a positive response to the increased mobility needs of contemporary societies. This places accessibility at the core of the main challenges of EU’s urban areas. A proper identification of causes of low accessibility combined with a profound knowledge of the outcomes of a particular pattern facilitate the formulation of the most efficient policy response that leads towards social inclusion, an increase of well-being, and a fully-fledged citizenship of contemporary societies. The CAlCULUS project aims to deepen understanding of the causes and consequences of unfavourable accessibility patterns in order to develop a decision-support model which facilitates more efficient and just transport management. The growing potential of smart cities and the recent development of big data mining provide new opportunities for innovative analyses of accessibility and travel behaviour. The previous experience of the fellow in the field of accessibility and international comparative urban studies, together with the host’s expertise in the application of big data for transport research, create perfect conditions for the implementation of the proposed research project. The influential position of the UCM and the experience of its Scientific Culture and Dissemination Unit guarantee efficient communication of the project results to diverse target groups and facilitate public engagement. Mentoring from the supervisor, and the support of the host institution which includes dedicated training opportunities, teaching involvement, and the development of management skills, will be a milestone in a path towards research maturity and will lay the foundations for the future establishment of the fellow’s own research team. Fields of science natural sciencescomputer and information sciencesdatabasesnatural sciencescomputer and information sciencesdata sciencebig datanatural sciencescomputer and information sciencesdata sciencedata miningnatural sciencesearth and related environmental sciencesenvironmental sciencespollutionsocial sciencessocial geographytransportpublic transport Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2016 - Individual Fellowships Call for proposal H2020-MSCA-IF-2016 See other projects for this call Funding Scheme MSCA-IF-EF-ST - Standard EF Coordinator UNIVERSIDAD COMPLUTENSE DE MADRID Net EU contribution € 170 121,60 Address Avenida de seneca 2 28040 Madrid Spain See on map Region Comunidad de Madrid Comunidad de Madrid Madrid Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
