Governance, decision-making, and strategy for urban development

Didier Grimaldi; Eula Bianca Villar; Laurent Dupont; Jose M. Sallan; Carlos Carrasco-Farré

doi:10.1016/B978-0-12-821122-9.00001-4

Governance, decision-making, and strategy for urban development

Didier Grimaldi
, Eula Bianca Villar
, Laurent Dupont
, Jose M. Sallan
, Carlos Carrasco-Farré

La Salle Digital Engineering School

Research output: Book chapter › Chapter › peer-review

Abstract

This chapter starts with a systematic review of the academic state of art about the trending topics that deal with data-driven approaches in an urban environment. Then, we select a specific example and analyze recent progress in the use of data to improve the urban process, which is as strategic and a priority as the resilience process. In this vein, we then use the case of the Philippines and show their data-driven policy to cope with disasters that drastically affect their urban areas.

Original language	English
Title of host publication	Implementing Data-Driven Strategies in Smart Cities
Subtitle of host publication	A Roadmap for Urban Transformation
Publisher	Elsevier
Pages	47-87
Number of pages	41
ISBN (Electronic)	9780128211229
ISBN (Print)	9780128211236
DOIs	https://doi.org/10.1016/B978-0-12-821122-9.00001-4
Publication status	Published - 1 Jan 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Bibliometric methodology
Multiple sectors
PDRF
Stakeholders
Sustainability
Urban development
VOSviewer software

Access to Document

10.1016/B978-0-12-821122-9.00001-4

Cite this

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AU - Grimaldi, Didier

AU - Villar, Eula Bianca

AU - Dupont, Laurent

AU - Sallan, Jose M.

AU - Carrasco-Farré, Carlos

PY - 2021/1/1

Y1 - 2021/1/1

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AB - This chapter starts with a systematic review of the academic state of art about the trending topics that deal with data-driven approaches in an urban environment. Then, we select a specific example and analyze recent progress in the use of data to improve the urban process, which is as strategic and a priority as the resilience process. In this vein, we then use the case of the Philippines and show their data-driven policy to cope with disasters that drastically affect their urban areas.

KW - Bibliometric methodology

KW - Multiple sectors

KW - PDRF

KW - Stakeholders

KW - Sustainability

KW - Urban development

KW - VOSviewer software

UR - https://www.scopus.com/pages/publications/85137597433

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M3 - Chapter

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SN - 9780128211236

SP - 47

EP - 87

BT - Implementing Data-Driven Strategies in Smart Cities

PB - Elsevier

ER -

Governance, decision-making, and strategy for urban development

Abstract

UN SDGs

Keywords

Access to Document

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Cite this