Conclusion from a series of contributions that have addressed some of the many dimensions of the big data phenomenon in the urban planning perspectives: in this field of study, the task of examining the possible lessons learned and indications on the future trajectories of the important and varied relationships that dealt with this topic is even more ambitious. As recognized by the literature and the many contributions of the book, institutional leadership and collective learning skills are increasingly dependent on the digital technologies of the next-generation city. In this sense, it is necessary to make synergy between public policies and self-organized processes, in order to propose actions of regeneration and enhancement towards smart and resilient innovation.

"Conclusion. Lesson Learned. Towards a Plan for Next-generation Cities" / Voghera, Angioletta; Riccia, La - In: "Spatial Planning in the Big Data Revolution" / Voghera A., La Riccia L.. - STAMPA. - Hershey PA, USA : IGI Global, 2019. - ISBN 9781522579274. - pp. 304-309 [10.4018/978-1-5225-7927-4]

"Conclusion. Lesson Learned. Towards a Plan for Next-generation Cities"

Voghera;La Riccia
2019

Abstract

Conclusion from a series of contributions that have addressed some of the many dimensions of the big data phenomenon in the urban planning perspectives: in this field of study, the task of examining the possible lessons learned and indications on the future trajectories of the important and varied relationships that dealt with this topic is even more ambitious. As recognized by the literature and the many contributions of the book, institutional leadership and collective learning skills are increasingly dependent on the digital technologies of the next-generation city. In this sense, it is necessary to make synergy between public policies and self-organized processes, in order to propose actions of regeneration and enhancement towards smart and resilient innovation.
2019
9781522579274
1522579273
9781522579281
"Spatial Planning in the Big Data Revolution"
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2726995
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