Mapping and Monitoring of Socially Excluded Localities in Ostrava City

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F10%3A86075128" target="_blank" >RIV/61989100:27350/10:86075128 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Mapping and Monitoring of Socially Excluded Localities in Ostrava City

Popis výsledku v původním jazyce

Monitoring of socially excluded localities requires data sources with a sufficient frequency of data flow to quickly detect the changes and allow taking appropriate measures in time. Detection of endangered localities in Ostrava city was based on data records from 2007 and 2009 using both quadrat and kernel methods. Evaluated factors include a share of registered unemployed to inhabitants in productive age, rate of unemployment for young people, for older people, share of unemployed with basic education, share of health-handicapped unemployed and share of long-term unemployed persons. The study reveals differences among localities. The high level of UBE seems to be a typical symptom of gypsy communities. The comparison of the quadrat and kernel methodsindicates more advantages for the kernel type of data processing and aggregation. The identified localities were compared with a social typology of the city and the evidence of minority ethnic based localities.

Název v anglickém jazyce

Mapping and Monitoring of Socially Excluded Localities in Ostrava City

Popis výsledku anglicky

Monitoring of socially excluded localities requires data sources with a sufficient frequency of data flow to quickly detect the changes and allow taking appropriate measures in time. Detection of endangered localities in Ostrava city was based on data records from 2007 and 2009 using both quadrat and kernel methods. Evaluated factors include a share of registered unemployed to inhabitants in productive age, rate of unemployment for young people, for older people, share of unemployed with basic education, share of health-handicapped unemployed and share of long-term unemployed persons. The study reveals differences among localities. The high level of UBE seems to be a typical symptom of gypsy communities. The comparison of the quadrat and kernel methodsindicates more advantages for the kernel type of data processing and aggregation. The identified localities were compared with a social typology of the city and the evidence of minority ethnic based localities.

Druh

C - Kapitola v odborné knize

CEP obor

AO - Sociologie, demografie

OECD FORD obor

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Projekt

<a href="/cs/project/GA403%2F09%2F1720" target="_blank" >GA403/09/1720: Industriální město v post-industriální společnosti</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Advances in Geoinformation Technologies 2010.

ISBN

978-80-248-2145-0

Počet stran výsledku

15

Strana od-do

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Počet stran knihy

190

Název nakladatele

VŠB-TUO

Místo vydání

Ostrava

Kód UT WoS kapitoly

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