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Neuroscience, urban regeneration and urban health

Authors: Araceli Camargo; Elahi Hossain; Sarah Aliko; Daniel Akinola-Odusola; Josh Artus;

Neuroscience, urban regeneration and urban health

Abstract

The National Planning Policy Framework of February 2019 (Chapter 8) and London Plan draft July 2019 (Chapter 1.3.1) have directed those working on the built environment to improve the health of Londoners. To accomplish this goal, this paper will suggest urban regeneration programmes adopt the use of neuroscience, which can help understand the relationship between people, health and urban environments. This is especially relevant as the health issues which are becoming more acute in cities are related to mental and metabolic disorders which fall under the neuroscience line of study. The challenge with introducing neuroscience to the urban realm is, however, the lack of a clear framework. To solve this challenge, this paper will put forward a new neuroscience informed software, which can help urban planners identify which areas are most vulnerable to health risks associated with urban environments. This will be of even more importance as climate change creates further built environment decay, increasing the risk for serious and chronic health issues such as anxiety, obesity, neurodevelopmental problems and depression.

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
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