Transport, Infrastructure and Territory – tGIS

The Research Group Transport, Infrastructure and Territory " tGIS was established in 2005 joining the interests of researchers in transport geography and economics mainly from Universidad Complutense Madrid (UCM). The group gained strength with the incorporation of researchers from relates disciplines like architecture and civil engineering. In 2012 the group joined TRANSyT, the Transport Research Centre at Universidad Politécnica of Madrid, which favours further collaboration in research projects, knowledge transfer and networking opportunities. In 2017, tGIS has received funding from the European Union"s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement (https://cordis.europa.eu/project/rcn/208383_en.html).

The group has a broad experience in the study of metropolitan processes from the point of view of transport and mobility and their relations with the territory and urban economy. Moreover, the team accumulates a wealth of experience and expertise in quantitative techniques and in GIS analysis applied to the study of metropolitan areas in the European framework. During the last years, the group has launched a new research line related to the use of Big Data in the fields of mobility, transport and urban dynamics.

tGIS has obtained a rating of "Excellent" (96 point over 100) in the external evaluation of the UCM Research Groups, realized by the State Research Agency (Agencia Estatal de Investigación - AEI).

TGIS most recent research activity is focused on:

" The use of Big Data sources for the analysis of mobility, accessibility, tourism and metropolitan dynamics.

" Urban Mobility and Mobility as a Service (MaaS) and its relations with urban regions, with a focus on European metropolitan areas.

" Network and accessibility analysis, developing and implementing accessibility indicators in the environment of GIS.

DynMobility; HIPROMO and Shared Mobility; are the most recent and outstanding projects we are coordinating/participating. They are devoted to incorporate big data in the above mentioned research areas, thus expanding our analysis in more spatio-temporal detail.

DynMobility is related to developing methodologies to incorporate big data into dynamic mobility analysis. The main focus of the project lies in exploiting possibilities provided by new data sources in the spatio-temporal analysis of urban mobility, including study of emerging sectors in mobility, such as tourist mobility and mobility services (Mobility as a Service - MaaS)

HIPROMO aims to design and validate a mobility prognosis tool based on mobilephone data, calibrated by means of transport system metadata and completed with geographic data.

Shared Mobility project will develop a decision support tool for the planning and operation of shared mobility systems that incorporates realistic and reliable models for demand behaviour estimation.

Curriculum Vitae
" Motivation Letters
" Two reference letters