SUITS takes a sociotechnical approach to capacity building in Local Authorities and transport stakeholder organisations with special emphasis on the transfer of learning to smaller sized cities, making them more effective and resilient to change in the judicious implementation of sustainable transport measures. Key outputs will be a validated capacity building program for transport departments, and resource light learning assets (modules, e-learning material, webinars and workshops), decision support tools to assist in procurement, innovative financing, engagement of new business partners and handling of open, real time and legacy data. SUITS argues that without capacity building and the transformation of transport departments into learning organisations, training materials will not provide the step change needed to provide innovative transport measures.
Working with nine cities to model gaps in their understanding, motivation, communication and work practices, will provide each city with a map of its own strengths and weaknesses with respect to sustainable transport planning. From this, strategies to enhance capacity, based on each authority’s needs will be developed and organisations provided with the necessary techniques to increase their own capacity, mentored directly by research partners. Local champions will be trained to continue capacity building after the project. Using the CIVITAS framework for impact evaluation, the effectiveness and impact of SUITS in enabling reductions in transport problems such as congestion and pollution while improving cities capacity to grow as well as the quality of life for urban dwellers and commuters through the development of inclusive, integrated transport measures will be measured in the cities and at individual, organisational and institutional levels. All project outcomes will be disseminated in a stakeholder engagement program at local, national and EU wide levels, thereby increasing the likelihood of successful transport measures.
Fields of science
- social sciencessocial and economic geographytransportsustainable transportintelligent transport system
- medical and health scienceshealth sciencespublic and environmental health
- natural sciencescomputer and information sciencesdata sciencebusiness intelligence
- natural sciencescomputer and information sciencesdata sciencebig data
- social sciencessocial and economic geographytransporttransport planning
Call for proposal
See other projects for this call
Funding SchemeRIA - Research and Innovation action
546 27 Thessaloniki
CV1 1GF Coventry
510134 Alba Iulia
N1 9AB London