Optimizing the Spatial Organization of Refugee Camps in Jordan through Artificial Intelligence

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21450%2F23%3A00367749" target="_blank" >RIV/68407700:21450/23:00367749 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Optimizing the Spatial Organization of Refugee Camps in Jordan through Artificial Intelligence

Popis výsledku v původním jazyce

Refugee camps are defined by the United Nations High Commissioner for Refugees (UNHCR) as “temporary facilities built to provide immediate protection and assistance to people who have been forced to flee their homes due to war, persecution or violence” (UNHCR, 2021). The average lifespan of a refugee camp is seventeen years (Moore, 2017) after which they organically transition into new towns. This is evident in Jordan, the country housing the majority of refugees since 1947 (UNHCR, 2018). Daily practices by refugees subvert the initial planned camp into organic formations suitable for their changing needs, overriding the rigid built environment which no longer serves them (Harrouk, 2021), (Aburamadan, et al., 2020). Addressing SDGs number 10: Reduced Inequalities, 11: Sustainable Cities and Communities, and 17: Partnerships of change, this ongoing research assesses the potential of artificial intelligence models to identify morphological patterns in the built environment and understand transient scenarios of a refugee camp’s spatial organization through an iterative process. By understanding patterns of spatial change, the inevitable transition from temporary to permanent settlement can be guided away from “slummification” towards creating adequate low-income housing for refugees in Jordan.

Název v anglickém jazyce

Optimizing the Spatial Organization of Refugee Camps in Jordan through Artificial Intelligence

Popis výsledku anglicky

Refugee camps are defined by the United Nations High Commissioner for Refugees (UNHCR) as “temporary facilities built to provide immediate protection and assistance to people who have been forced to flee their homes due to war, persecution or violence” (UNHCR, 2021). The average lifespan of a refugee camp is seventeen years (Moore, 2017) after which they organically transition into new towns. This is evident in Jordan, the country housing the majority of refugees since 1947 (UNHCR, 2018). Daily practices by refugees subvert the initial planned camp into organic formations suitable for their changing needs, overriding the rigid built environment which no longer serves them (Harrouk, 2021), (Aburamadan, et al., 2020). Addressing SDGs number 10: Reduced Inequalities, 11: Sustainable Cities and Communities, and 17: Partnerships of change, this ongoing research assesses the potential of artificial intelligence models to identify morphological patterns in the built environment and understand transient scenarios of a refugee camp’s spatial organization through an iterative process. By understanding patterns of spatial change, the inevitable transition from temporary to permanent settlement can be guided away from “slummification” towards creating adequate low-income housing for refugees in Jordan.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

60500 - Other Humanities and the Arts

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Design for Resilient Communities: Proceedings of the UIA World Congress of Architects Copenhagen 2023

ISBN

978-3-031-36639-0

ISSN

—

e-ISSN

—

Počet stran výsledku

16

Strana od-do

—

Název nakladatele

Springer Nature

Místo vydání

—

Místo konání akce

Copenhagen

Datum konání akce

3. 7. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—