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The need to implement sustainable mobility is growing in both urgency and pace. However, in cities where the bicycle is underused and cars are overvalued, trying to change the mobility paradigm comes with many challenges. Planners committed to creating cycling mobility plans have to overcome information and resource barriers in coming up with solutions in their respective contexts. Facilitating access to conceptual and practical information for such cities could provide impetus for more effective decisions. With a view to achieving this goal, the “BooST – Boosting Starter Cycling Cities” research project has developed a planning tool, the Cycling Measures Selector (CMS). The tool facilitates access to specific information on measures promoting bicycle use and provides practical guidelines on how to implement these measures in a comprehensive and effective manner. Through its web-based platform, the CMS presents detailed informational sheets on each measure and provides a structure for testing different combinations. Each combination receives a score and suggestions as to how to increase the efficiency. This paper presents the tool and assesses its utility or usefulness for strategic development. To this end, the inputs of three groups working in the cycling promotion area were taken into consideration: local planners, academics, and activists. A series of workshops provided the space to interact with the tool and explore its potential. Those experiences revealed an apparent disconnect between theory and practice, along with a clear need for detailed and varied information on cycling measures. The findings suggest that the CMS can fulfill that need, as well as aid in the planning process.

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Mobility in big cities is a growing problem and the use of bicycles has been a solution which, together with new sharing services, helps to motivate users. There are also more and more users practicing sports involving the use of bicycles. It was in this context that the present dissertation was developed, a distributed sensor system for monitoring cyclists. With the support of a wireless sensor network connected to the internet and, using a set of smart sensors as end-nodes, it is possible to obtain data that will help the cyclist to improve his performance. The coach can monitor and evaluate the performance to improve their training sessions. The health status condition during training it is also monitored using cardiac and respiratory assessment sensors. The information from the nodes of the wireless sensor network is uploaded, via the internet connection, to the Firebase platform. An Android mobile application has been developed, this allows trainers to register cyclists, plan routes and observe the results collected by the network. With the inclusion of these technologies, the coach and the athlete may analyze the performance of a session and compare it with the previous training results. New training sessions may be established according to the athlete's needs. The effectiveness of the proposed system was experimentally tested and several results are included in this dissertation.