Quantification of the Ecological Value of Railroad Development Areas Using Logistic Regression Analysis

According to the national railway network construction plan, Investment in railways has increased due to the need for environmentally friendly transportation, and the rail network is expanding throughout South Korea. Railway projects should be evaluated using strategic environmental impact assessmen...

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Autores principales:	Min-Kyeong Kim, Duckshin Park, Dong Yeob Kim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Environmental Conservation Value Assessment Map (ECVAM) kappa analysis logistic regression quantitative evaluation railway natural ecological environment Medicine R
Acceso en línea:	https://doaj.org/article/f13e54c2d2cf4f268b1f18f5f1063231
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id	oai:doaj.org-article:f13e54c2d2cf4f268b1f18f5f1063231
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spelling	oai:doaj.org-article:f13e54c2d2cf4f268b1f18f5f10632312021-11-25T17:48:07ZQuantification of the Ecological Value of Railroad Development Areas Using Logistic Regression Analysis10.3390/ijerph1822117641660-46011661-7827https://doaj.org/article/f13e54c2d2cf4f268b1f18f5f10632312021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/11764https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601According to the national railway network construction plan, Investment in railways has increased due to the need for environmentally friendly transportation, and the rail network is expanding throughout South Korea. Railway projects should be evaluated using strategic environmental impact assessments. In the “Guidelines for the Construction of Environment-friendly Railways”, seven priority headings that must be considered for railway projects are described. This guide notes that qualitative evaluation must be conducted during the survey process to reasonably predict impacts on the environment. However, quantitative evaluation with specific indicator values may also be necessary. In this study, independence analysis and logistic regression analysis were used to quantitatively evaluate railway environmental and ecological indicators. The results were used to develop a regression model reflecting seven indicators; biodiversity class, ecosystem type, vegetation conservation class, tree age class, ecological naturalness, presence of river ecosystems, and fragmented patch size. The fitness regression model showed 90.3% classification accuracy and the receiver operating curve (ROC) model fit was 88.6%. An environmental quality assessment map was prepared by classifying areas of environmental quality according to five grades. This is the first model for environmental and ecological evaluation of railway projects. Evaluation using the map showed that the railroad passes through areas with lower protection values compared to the results obtained using the national environmental evaluation map. Kappa analysis showed a low level of agreement between the two maps (kappa coefficient = 0.212). The results of this study can be applied to railway development project sites and may help to identify the best sites for the development of an environmentally friendly railway system.Min-Kyeong KimDuckshin ParkDong Yeob KimMDPI AGarticleEnvironmental Conservation Value Assessment Map (ECVAM)kappa analysislogistic regressionquantitative evaluationrailway natural ecological environmentMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11764, p 11764 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Environmental Conservation Value Assessment Map (ECVAM) kappa analysis logistic regression quantitative evaluation railway natural ecological environment Medicine R
spellingShingle	Environmental Conservation Value Assessment Map (ECVAM) kappa analysis logistic regression quantitative evaluation railway natural ecological environment Medicine R Min-Kyeong Kim Duckshin Park Dong Yeob Kim Quantification of the Ecological Value of Railroad Development Areas Using Logistic Regression Analysis
description	According to the national railway network construction plan, Investment in railways has increased due to the need for environmentally friendly transportation, and the rail network is expanding throughout South Korea. Railway projects should be evaluated using strategic environmental impact assessments. In the “Guidelines for the Construction of Environment-friendly Railways”, seven priority headings that must be considered for railway projects are described. This guide notes that qualitative evaluation must be conducted during the survey process to reasonably predict impacts on the environment. However, quantitative evaluation with specific indicator values may also be necessary. In this study, independence analysis and logistic regression analysis were used to quantitatively evaluate railway environmental and ecological indicators. The results were used to develop a regression model reflecting seven indicators; biodiversity class, ecosystem type, vegetation conservation class, tree age class, ecological naturalness, presence of river ecosystems, and fragmented patch size. The fitness regression model showed 90.3% classification accuracy and the receiver operating curve (ROC) model fit was 88.6%. An environmental quality assessment map was prepared by classifying areas of environmental quality according to five grades. This is the first model for environmental and ecological evaluation of railway projects. Evaluation using the map showed that the railroad passes through areas with lower protection values compared to the results obtained using the national environmental evaluation map. Kappa analysis showed a low level of agreement between the two maps (kappa coefficient = 0.212). The results of this study can be applied to railway development project sites and may help to identify the best sites for the development of an environmentally friendly railway system.
format	article
author	Min-Kyeong Kim Duckshin Park Dong Yeob Kim
author_facet	Min-Kyeong Kim Duckshin Park Dong Yeob Kim
author_sort	Min-Kyeong Kim
title	Quantification of the Ecological Value of Railroad Development Areas Using Logistic Regression Analysis
title_short	Quantification of the Ecological Value of Railroad Development Areas Using Logistic Regression Analysis
title_full	Quantification of the Ecological Value of Railroad Development Areas Using Logistic Regression Analysis
title_fullStr	Quantification of the Ecological Value of Railroad Development Areas Using Logistic Regression Analysis
title_full_unstemmed	Quantification of the Ecological Value of Railroad Development Areas Using Logistic Regression Analysis
title_sort	quantification of the ecological value of railroad development areas using logistic regression analysis
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f13e54c2d2cf4f268b1f18f5f1063231
work_keys_str_mv	AT minkyeongkim quantificationoftheecologicalvalueofrailroaddevelopmentareasusinglogisticregressionanalysis AT duckshinpark quantificationoftheecologicalvalueofrailroaddevelopmentareasusinglogisticregressionanalysis AT dongyeobkim quantificationoftheecologicalvalueofrailroaddevelopmentareasusinglogisticregressionanalysis
_version_	1718412019706626048

Quantification of the Ecological Value of Railroad Development Areas Using Logistic Regression Analysis

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