Sustainable Mobility Laboratory

SUSTAINABLE MOBILITY LABORATORY

Efficient and sustainable mobility

The Sustainable Mobility Laboratory (SusMobLab), established in collaboration with A Coruña City Council, aims to develop and apply scientific and technical tools to achieve a more sustainable and efficient mobility system. Its main objective is to design actions and analyse their effects on mobility, developing models that allow us to predict future trends in mobility, and quantitatively assessing how the system performs in different scenarios. For this purpose, specific transport modelling tools (such as Aimsun and TransCAD) are used, as well as in-house developed tools.

SusMobLab handles a large amount of georeferenced data (supply and demand for urban and inter-city public transport, mobility, traffic sensors, traffic lights, cycling demand, weather data, GPS records of bus locations on the network, highly disaggregated socio-economic data, land use, etc.), and statistical and big data techniques are applied to process this data.

The Sustainable Mobility Laboratory (SusMobLab), established in collaboration with A Coruña City Council, aims to develop and apply scientific and technical tools to achieve a more sustainable and efficient mobility system. Its main objective is to design actions and analyse their effects on mobility, developing models that allow us to predict future trends in mobility, and quantitatively assessing how the system performs in different scenarios. For this purpose, specific transport modelling tools (such as Aimsun and TransCAD) are used, as well as in-house developed tools.

SusMobLab handles a large amount of georeferenced data (supply and demand for urban and inter-city public transport, mobility, traffic sensors, traffic lights, cycling demand, weather data, GPS records of bus locations on the network, highly disaggregated socio-economic data, land use, etc.), and statistical and big data techniques are applied to process this data.

The laboratory

Research areas

Analysis and improvement of public transport operations
Analysis of transport demand
Macroscopic, mesoscopic and microscopic modelling of transport systems.
Analysis of improvements in public transport corridors
Measures to achieve sustainable mobility
New developments to estimate origin-destination journeys based on data from multiple smart transport card transactions
Analysis of bus system delays using data recorded by on-board GPS devices
Analysis of passenger numbers at public transport stops based on the services provided and the characteristics of their surroundings
Analysis of the impact of COVID-19 on mobility and its sustainability
Distribution of goods in urban areas
Analysis of pedestrian mobility