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    Evaluating the Relationship between Urban Redevelopment of Large Housing Estates and Urban Green Space Based on GIS–MCDM Approach: Empirical Experience from Niš, Serbia

    Source: Journal of Urban Planning and Development:;2022:;Volume ( 148 ):;issue: 002::page 05022005
    Author:
    Ljiljana Vasilevska
    ,
    Petar Vranić
    ,
    Magdalena Vasilevska
    DOI: 10.1061/(ASCE)UP.1943-5444.0000790
    Publisher: ASCE
    Abstract: This paper will explore whether and how different modes of postsocialist urban transformation of inherited large housing estates (LHE) from the socialist past have influenced quantitative changes in urban green space (UGS) at the neighborhood level. The investigation will be conducted on a representative LHE neighborhood in the city of Niš, Serbia. This paper will introduce the Urban Green Transformation Index (UGTI) that combines five weighted parameters by employing the geographic information system–multicriteria decision-making (GIS–MCDM) method, which uses linear aggregation with a weighted overlay approach. This describes the impact that transformations have on UGSs for their permanency. The results from this paper indicate that the LHE redevelopment processes have caused constant pressure on the UGS throughout the postsocialist period, which has led to their regressive changes. The index presented in this paper could be used as a corrective, or mandatory, or both urban and land use planning and decision-making tool when assessing the degree of environmental and social sustainability of newly planned construction within the LHE neighborhoods.
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      Evaluating the Relationship between Urban Redevelopment of Large Housing Estates and Urban Green Space Based on GIS–MCDM Approach: Empirical Experience from Niš, Serbia

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4282541
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    contributor authorLjiljana Vasilevska
    contributor authorPetar Vranić
    contributor authorMagdalena Vasilevska
    date accessioned2022-05-07T20:30:56Z
    date available2022-05-07T20:30:56Z
    date issued2022-6-1
    identifier other(ASCE)UP.1943-5444.0000790.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4282541
    description abstractThis paper will explore whether and how different modes of postsocialist urban transformation of inherited large housing estates (LHE) from the socialist past have influenced quantitative changes in urban green space (UGS) at the neighborhood level. The investigation will be conducted on a representative LHE neighborhood in the city of Niš, Serbia. This paper will introduce the Urban Green Transformation Index (UGTI) that combines five weighted parameters by employing the geographic information system–multicriteria decision-making (GIS–MCDM) method, which uses linear aggregation with a weighted overlay approach. This describes the impact that transformations have on UGSs for their permanency. The results from this paper indicate that the LHE redevelopment processes have caused constant pressure on the UGS throughout the postsocialist period, which has led to their regressive changes. The index presented in this paper could be used as a corrective, or mandatory, or both urban and land use planning and decision-making tool when assessing the degree of environmental and social sustainability of newly planned construction within the LHE neighborhoods.
    publisherASCE
    titleEvaluating the Relationship between Urban Redevelopment of Large Housing Estates and Urban Green Space Based on GIS–MCDM Approach: Empirical Experience from Niš, Serbia
    typeJournal Paper
    journal volume148
    journal issue2
    journal titleJournal of Urban Planning and Development
    identifier doi10.1061/(ASCE)UP.1943-5444.0000790
    journal fristpage05022005
    journal lastpage05022005-13
    page13
    treeJournal of Urban Planning and Development:;2022:;Volume ( 148 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian