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Urban mobility optimization problem has a great focus in the context of Smart cities. To its solution a very important factor is the transport demand, which is mostly inferred using Big Data and Artificial Intelligence techniques from Automatic Fare Collection (AFC) and mobile devices data. In this paper a novel approach, based on Transport Demand Management techniques is proposed, using technology to produce a more active social involvement in the planning and optimization of mobility. This paper describes, a first step to this long-term objective, the general architecture and current implementation of an explicit multi-modal transport demand system for Smart Cities, which is being developed in the frame of MUSA—I project in the city of Madrid.

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As the Smart City concept evolves, it necessarily incorporates more sustainability and inclusiveness features. In this context, the mobility of people is still one of the major challenges for cities. Among the most vulnerable group of citizens are the elderly, as they demand special requirements in the design of smart mobility. At the same time, smart cities’ technologies could be used to maintain their quality of life. From an architectural and sociological point of view, smart cities change the meaning and the use of public spaces, from physical meeting places to relational public spaces, in which humans use interposed technological means and information flows. This leads to the concept of Interconnected Public Spaces: a mixture of physical and virtual environments, generating interconnections at a planetary scale, that can be used to attract elderly people for collectively sharing experiences outdoor in public spaces (parks, squares or bus stops, in any city on our planet), increasing their physical form and stimulating them mentally, socially and emotionally. This paper describes the development of an inclusive smart bus stop prototype and the use of its ICT infrastructure to build Interconnected Public Spaces.

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