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LiveCITY - Data science for a live city

Title: LiveCITY - Data science for a live city

Principal investigator: João Manuel Coutinho Rodrigues

Research team: Eduardo Manuel Natividade de Jesus, Arminda Maria Marques Almeida, John Current, Junior Researcher

Dates start/end: 1st of November 2019/31 October 2020

Synopsis

Today's flow of people towards cities will lead to 80% of the population living in urban areas by 2050. This fast growth of cities contrasts with their ageing infrastructure, some of which is centuries old. Dealing with infrastructure deterioration requires efficient tools that integrate the signalling, registering and attendance of operational occurrences.

Traditional reporting methods are field survey by a technician (slow, costly, not engaging) and direct phone call/email by citizens (time-consuming for the citizen, no feedback, reports not automatically processed). App-based engagement systems, with citizens reporting occurrences live via this App (e.g. fixMyStreet, seeClickFix) exist already, giving basic statistics on number/location of occurrences and feedback to users, but none offers decision support. Entities that manage the urban space rely solely on their empirical judgement to decide which occurrences to attend first.

ICT, ubiquitous connectivity, knowledge and creativity, big data and open data, social capital, business and entrepreneurialism, smart community, ecological sustainability etc. are being appointed to characterise the smart city discourse, bewildering the meaning of the concept. However, there is also another perspective of smart cities more focused on the human concept, which included social innovation, smart citizenry, learning and knowledge capital and inter-organisational collaboration. It is seeking to include these two perspectives that we intend to develop the project "Data science for a live city - LiveCITY".

In the research and development work carried out in recent years, a prototype of a solution has been created. The aim of this project is to develop, implement and provide this prototype with a backoffice, mobile aplications, and a wider and more dedicated set of advanced algorithms, capable of handling big data, that give priorities based on technical aspects, economic and social impact of the occurrences in order to transform it into a TRL 7-8 solution that allows the testing of a pilot project, preferably in a medium-sized city (e.g. Coimbra). The planned structure encompasses a front-end/desktop interface, a back-office offering decision support algorithms and mobile Apps.