The emergence of a new urban proximity-based morphology: the 15-minute city and the smart city

.

Chapter 7 in Rethinking Smart Cities, 2022, pp 127-142 from Edward Elgar Publishing

Abstract: The COVID-19 pandemic exposed the numerous socioeconomic challenges and disparities that exists globally, and more so in the cities, prompting a need to re-think the existing urban models, and the regeneration approaches that could be initiated to mitigate or correct the underlying problems. In the height of those dilemma, the '15-Minute City' concept has emerged as a potential planning pathway that could be adopted in cities to address the gaps on the social, economic and urban health issues that have been exposed, and which have led to the widespread of this pandemic. While this concept majorly advocates for a change in urban morphology, it could have massive potential especially if anchored on the Smart Cities networks and strongholds. This chapter seek to explore how this concept can become a success especially by incorporating some of the aspects of the Smart City networks and technologies, in reinforcing the social dimension which this model inherently advocate.

Keywords: Economics and Finance; Geography; Innovations and Technology; Sustainable Development Goals; Urban and Regional Studies (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/view/9781803926803.00012.xml (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:21740_7

Ordering information: This item can be ordered from
http://www.e-elgar.com
sales@e-elgar.co.uk

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla (darrel@e-elgar.co.uk).