Big Data Science for Cities Management

Dear Colleagues,

It is commonly agreed that you can’t manage an organization of you do not measure its activity through the collection of business data. If this is evident for private companies, Grimaldi D., Carrasco C. and Fernandez,V. (2018) introduce how it may be also correct for the management of cities. This Special Issue aims at understanding how data science opens new perspectives to manage cities differently, more efficiently and better than has been the case so far. We have all read about the strength of data, but likely we do not recognize how to insert a data strategy into the urban transformation agenda of our cities. Our Special Issue will describe and analyse what urban data science means and how it can be applied to cope with the urban challenges of energy, transport, pollution, and waste management.

Dr. Didier Grimaldi
Dr. Carlos Carrasco
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Smart Cities is an international peer-reviewed open access monthly journal published by MDPI.

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