Decision trees in environmental justice research — a case study on the floods of 2001 and 2010 in Hungary

Environmental justice is a normative framework for the analysis of environmental impacts on the wellbeing of individuals and social groups. According to the framework, the deprived social groups and ethnic minorities are often more exposed to environmental risks and hazards due to their disadvantage...

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Main Authors: Nagy Gyula, Vida György, Boros Lajos, Ćirić Danijela
Format: Article
Language:English
Published: De Gruyter 2019-12-01
Series:Open Geosciences
Subjects:
Online Access:https://doi.org/10.1515/geo-2019-0079
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author Nagy Gyula
Vida György
Boros Lajos
Ćirić Danijela
author_facet Nagy Gyula
Vida György
Boros Lajos
Ćirić Danijela
author_sort Nagy Gyula
collection DOAJ
description Environmental justice is a normative framework for the analysis of environmental impacts on the wellbeing of individuals and social groups. According to the framework, the deprived social groups and ethnic minorities are often more exposed to environmental risks and hazards due to their disadvantaged situation, and due to the lack of representation and political power. To manage the impacts of injustices and to include the citizen in the decision-making processes, proper information is needed on local attitudes and decision-making processes. Therefore, this study sought to (i) identify the main factors shaping the attitudes towards environmental injustices and (ii) to analyse the attitudes and perception of the various social groups and (iii) to identify the main factors which are shaping the attitudes and actions of those who were affected by the floods of 2001 and 2010 through the use of decision tree method. The data for the predictive model was acquired from a questionnaire survey conducted in two disadvantaged and flood-hit Hungarian regions. Based on the survey data, a principal component analysis (PCA) was conducted, which resulted in three principal components; fear, social change, and change in the built environment. The study focused only on the elements of the “fear principal component”, due to the decision tree tool homogenous groups identified in relation to this component. Our analysis showed that ethnicity has a determinative role in the emergence and the level of fear from floods; the Roma respondents expressed a significantly higher level of fear than others.
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spelling doaj.art-0811c8ebe9a54a47911b4099952243472022-12-21T22:37:07ZengDe GruyterOpen Geosciences2391-54472019-12-011111025103410.1515/geo-2019-0079geo-2019-0079Decision trees in environmental justice research — a case study on the floods of 2001 and 2010 in HungaryNagy Gyula0Vida György1Boros Lajos2Ćirić Danijela3Department of Economic and Social Geography, University of Szeged, Egyetem utca 2, 6722Szeged, HungaryDepartment of Economic and Social Geography, University of Szeged, Egyetem utca 2, 6722Szeged, HungaryDepartment of Economic and Social Geography, University of Szeged, Egyetem utca 2, 6722Szeged, HungaryFaculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000, Novi Sad, SerbiaEnvironmental justice is a normative framework for the analysis of environmental impacts on the wellbeing of individuals and social groups. According to the framework, the deprived social groups and ethnic minorities are often more exposed to environmental risks and hazards due to their disadvantaged situation, and due to the lack of representation and political power. To manage the impacts of injustices and to include the citizen in the decision-making processes, proper information is needed on local attitudes and decision-making processes. Therefore, this study sought to (i) identify the main factors shaping the attitudes towards environmental injustices and (ii) to analyse the attitudes and perception of the various social groups and (iii) to identify the main factors which are shaping the attitudes and actions of those who were affected by the floods of 2001 and 2010 through the use of decision tree method. The data for the predictive model was acquired from a questionnaire survey conducted in two disadvantaged and flood-hit Hungarian regions. Based on the survey data, a principal component analysis (PCA) was conducted, which resulted in three principal components; fear, social change, and change in the built environment. The study focused only on the elements of the “fear principal component”, due to the decision tree tool homogenous groups identified in relation to this component. Our analysis showed that ethnicity has a determinative role in the emergence and the level of fear from floods; the Roma respondents expressed a significantly higher level of fear than others.https://doi.org/10.1515/geo-2019-0079decision treepredictive modelingenvironmental injusticenatural disasters
spellingShingle Nagy Gyula
Vida György
Boros Lajos
Ćirić Danijela
Decision trees in environmental justice research — a case study on the floods of 2001 and 2010 in Hungary
Open Geosciences
decision tree
predictive modeling
environmental injustice
natural disasters
title Decision trees in environmental justice research — a case study on the floods of 2001 and 2010 in Hungary
title_full Decision trees in environmental justice research — a case study on the floods of 2001 and 2010 in Hungary
title_fullStr Decision trees in environmental justice research — a case study on the floods of 2001 and 2010 in Hungary
title_full_unstemmed Decision trees in environmental justice research — a case study on the floods of 2001 and 2010 in Hungary
title_short Decision trees in environmental justice research — a case study on the floods of 2001 and 2010 in Hungary
title_sort decision trees in environmental justice research a case study on the floods of 2001 and 2010 in hungary
topic decision tree
predictive modeling
environmental injustice
natural disasters
url https://doi.org/10.1515/geo-2019-0079
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