Advances in Public Transport Platform for the Development of Sustainability Cities

Modern societies demand high and varied mobility, which in turn requires a complex transport system adapted to social needs that guarantees the movement of people and goods in an economically efficient and safe way, but all are subject to a new environmental rationality and the new logic of the paradigm of sustainability. From this perspective, an efficient and flexible transport system that provides intelligent and sustainable mobility patterns is essential to our economy and our quality of life. The current transport system poses growing and significant challenges for the environment, human health, and sustainability, while current mobility schemes have focused much more on the private vehicle that has conditioned both the lifestyles of citizens and cities, as well as urban and territorial sustainability. Transport has a very considerable weight in the framework of sustainable development due to environmental pressures, associated social and economic effects, and interrelations with other sectors. The continuous growth that this sector has experienced over the last few years and its foreseeable increase, even considering the change in trends due to the current situation of generalized crisis, make the challenge of sustainable transport a strategic priority at local, national, European, and global levels. This Special Issue will pay attention to all those research approaches focused on the relationship between evolution in the area of transport with a high incidence in the environment from the perspective of efficiency

Social Recommendations for Events

Due to an abundance of available events, selecting the most interesting events and deciding who to invite to attend these events becomes increasingly difficult. This paper describes the Outlife recommender, which assists in finding the ideal event by providing recommendations based on the user’s personal preferences. For each event recommendation, the Outlife recommender suggests a group of friends to invite to the event. Conversely, the user can select a group of friends and receive group recommendations based on the preferences of all group members. Compared to traditional group recommenders, which assume the group composition is available as input, the Outlife recommender automatically composes the user’s groups of best friends based on interaction behavior. A user evaluation showed that the composition of groups of friends is accurate and that the offered recommendations match the user’s preferences