A Model Proposed for the Prediction of Future Sustainable Residence Specifications Using Analytical Network Process | Environmental Science & Sustainable Development

<!DOCTYPE html> <html lang="en-US" xml:lang="en-US"> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <meta name="generator" content="A Model Proposed for the Prediction of Future Sustainable Residence Specifications Using Analytical Network Process | Environmental Science & Sustainable Development- Novelty 1.1 by openjournaltheme.com"> <meta name="title" content="A Model Proposed for the Prediction of Future Sustainable Residence Specifications Using Analytical Network Process | Environmental Science & Sustainable Development"> <title> A Model Proposed for the Prediction of Future Sustainable Residence Specifications Using Analytical Network Process | Environmental Science & Sustainable Development </title> <meta name="generator" content="Open Journal Systems 3.3.0.13"> <link rel="schema.DC" href="https://purl.org/dc/elements/1.1/" /> <meta name="DC.Creator.PersonalName" content="Ayman M. Zakaria Eraqi"/> <meta name="DC.Creator.PersonalName" content="Walid Abdul-Hady Shoura"/> <meta name="DC.Date.created" scheme="ISO8601" content="2019-12-30"/> <meta name="DC.Date.dateSubmitted" scheme="ISO8601" content="2019-12-30"/> <meta name="DC.Date.issued" scheme="ISO8601" content="2019-12-30"/> <meta name="DC.Date.modified" scheme="ISO8601" content="2024-07-31"/> <meta name="DC.Description" xml:lang="en" content="In Egypt, people are unable to determine the qualities of appropriate residence that achieves quality and occupant satisfaction, and contributes to sustainability of residential conglomerations. In general, developing countries lack housing information which can be used to enhance quality of residence. Also, the methods of assessing and identifying the appropriate criteria for future residence quality remain traditional ones that cannot address the multiple, conflicting, overlapping aspects to reach a good decision. This calls for using the Analytical Network Process (ANP), an effective tool for specifying the relative importance of all factors impacting a specific issue for making an appropriate residential decision. In addition, this method provides results for the decision element impacts network within the decision structure; thus contributing to more understanding of the mechanisms and requirements of residence selection. The proposed decision structure comprises a two-level network: main clusters, main elements, and sub-elements included in the demographic characteristics group, the residence criteria group, the demand parameters group, the supply parameters group, the residence specifications group, and the alternatives group which representing, in total, the decision and specifying the percentage needed for each housing level. Results of the model showed complete capacity in smoothly addressing complexities and overlapping in the decision structure. The decision structure showed that 52% chose luxury residence, 28% chose middle-class residence, and 19.5% chose the economic residence. Mechanisms of decision making were analyzed; particularly in terms of relationship to demographic characteristics and residence specifications. Also, the importance and impact of demand / supply parameters in reaching decision were analyzed."/> <meta name="DC.Format" scheme="IMT" content="application/pdf"/> <meta name="DC.Identifier" content="681"/> <meta name="DC.Identifier.pageNumber" content="109 - 126"/> <meta name="DC.Identifier.DOI" content="10.21625/essd.v4i3.681"/> <meta name="DC.Identifier.URI" content="https://press.ierek.com/index.php/ESSD/article/view/681"/> <meta name="DC.Language" scheme="ISO639-1" content="en"/> <meta name="DC.Rights" content="Copyright (c) 2019 International Journal of Environmental Science & Sustainable Development"/> <meta name="DC.Rights" content="http://creativecommons.org/licenses/by/4.0"/> <meta name="DC.Source" content="Environmental Science & Sustainable Development"/> <meta name="DC.Source.ISSN" content="2357-0857"/> <meta name="DC.Source.Issue" content="3"/> <meta name="DC.Source.Volume" content="4"/> <meta name="DC.Source.URI" content="https://press.ierek.com/index.php/ESSD"/> <meta name="DC.Subject" xml:lang="en" content="Sustainable Residence Specifications - Supply/ Demand - Decision Making - Prediction - Analytical Network Process (ANP)"/> <meta name="DC.Title" content="A Model Proposed for the Prediction of Future Sustainable Residence Specifications Using Analytical Network Process"/> <meta name="DC.Type" content="Text.Serial.Journal"/> <meta name="DC.Type.articleType" content="Research Papers"/> <meta name="gs_meta_revision" content="1.1"/> <meta name="citation_journal_title" content="Environmental Science & Sustainable Development"/> <meta name="citation_journal_abbrev" content="ESSD"/> <meta name="citation_issn" content="2357-0857"/> <meta name="citation_author" content="Ayman M. Zakaria Eraqi"/> <meta name="citation_author_institution" content="Lecturer at Architecture Department, faculty of fine arts, Minia University, Egypt."/> <meta name="citation_author" content="Walid Abdul-Hady Shoura"/> <meta name="citation_author_institution" content="Lecturer at Architecture Department, faculty of fine arts, Minia University, Egypt."/> <meta name="citation_title" content="A Model Proposed for the Prediction of Future Sustainable Residence Specifications Using Analytical Network Process"/> <meta name="citation_language" content="en"/> <meta name="citation_date" content="2019/12/30"/> <meta name="citation_volume" content="4"/> <meta name="citation_issue" content="3"/> <meta name="citation_firstpage" content="109"/> <meta name="citation_lastpage" content="126"/> <meta name="citation_doi" content="10.21625/essd.v4i3.681"/> <meta name="citation_abstract_html_url" content="https://press.ierek.com/index.php/ESSD/article/view/681"/> <meta name="citation_keywords" xml:lang="en" content="Sustainable Residence Specifications - Supply/ Demand - Decision Making - Prediction - Analytical Network Process (ANP)"/> <meta name="citation_pdf_url" content="https://press.ierek.com/index.php/ESSD/article/download/681/584"/> <meta name="citation_reference" content="Adams, W. 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In general, developing countries lack housing information which can be used to enhance quality of residence. Also, the methods of assessing and identifying the appropriate criteria for future residence quality remain traditional ones that cannot address the multiple, conflicting, overlapping aspects to reach a good decision. This calls for using the Analytical Network Process (ANP), an effective tool for specifying the relative importance of all factors impacting a specific issue for making an appropriate residential decision. In addition, this method provides results for the decision element impacts network within the decision structure; thus contributing to more understanding of the mechanisms and requirements of residence selection. The proposed decision structure comprises a two-level network: main clusters, main elements, and sub-elements included in the demographic characteristics group, the residence criteria group, the demand parameters group, the supply parameters group, the residence specifications group, and the alternatives group which representing, in total, the decision and specifying the percentage needed for each housing level. Results of the model showed complete capacity in smoothly addressing complexities and overlapping in the decision structure. The decision structure showed that 52% chose luxury residence, 28% chose middle-class residence, and 19.5% chose the economic residence. Mechanisms of decision making were analyzed; particularly in terms of relationship to demographic characteristics and residence specifications. Also, the importance and impact of demand / supply parameters in reaching decision were analyzed."> <meta name="og:description" content="In Egypt, people are unable to determine the qualities of appropriate residence that achieves quality and occupant satisfaction, and contributes to sustainability of residential conglomerations. In general, developing countries lack housing information which can be used to enhance quality of residence. Also, the methods of assessing and identifying the appropriate criteria for future residence quality remain traditional ones that cannot address the multiple, conflicting, overlapping aspects to reach a good decision. This calls for using the Analytical Network Process (ANP), an effective tool for specifying the relative importance of all factors impacting a specific issue for making an appropriate residential decision. In addition, this method provides results for the decision element impacts network within the decision structure; thus contributing to more understanding of the mechanisms and requirements of residence selection. The proposed decision structure comprises a two-level network: main clusters, main elements, and sub-elements included in the demographic characteristics group, the residence criteria group, the demand parameters group, the supply parameters group, the residence specifications group, and the alternatives group which representing, in total, the decision and specifying the percentage needed for each housing level. Results of the model showed complete capacity in smoothly addressing complexities and overlapping in the decision structure. The decision structure showed that 52% chose luxury residence, 28% chose middle-class residence, and 19.5% chose the economic residence. Mechanisms of decision making were analyzed; particularly in terms of relationship to demographic characteristics and residence specifications. Also, the importance and impact of demand / supply parameters in reaching decision were analyzed."> <meta name="copyright" content="Environmental Science & Sustainable Development - " /> <meta name="keywords" content="Sustainable Residence Specifications - Supply/ Demand - Decision Making - Prediction - Analytical Network Process (ANP)">  <meta property="og:type" content="article"> <meta property="og:url" content="https://press.ierek.com/index.php/ESSD/article/view/681"> <meta property="og:title" content="A Model Proposed for the Prediction of Future Sustainable Residence Specifications Using Analytical Network Process"> <meta property="og:description" content="In Egypt, people are unable to determine the qualities of appropriate residence that achieves quality and occupant satisfaction, and contributes to sustainability of residential conglomerations. In general, developing countries lack housing information which can be used to enhance quality of residence. Also, the methods of assessing and identifying the appropriate criteria for future residence quality remain traditional ones that cannot address the multiple, conflicting, overlapping aspects to reach a good decision. This calls for using the Analytical Network Process (ANP), an effective tool for specifying the relative importance of all factors impacting a specific issue for making an appropriate residential decision. In addition, this method provides results for the decision element impacts network within the decision structure; thus contributing to more understanding of the mechanisms and requirements of residence selection. The proposed decision structure comprises a two-level network: main clusters, main elements, and sub-elements included in the demographic characteristics group, the residence criteria group, the demand parameters group, the supply parameters group, the residence specifications group, and the alternatives group which representing, in total, the decision and specifying the percentage needed for each housing level. Results of the model showed complete capacity in smoothly addressing complexities and overlapping in the decision structure. The decision structure showed that 52% chose luxury residence, 28% chose middle-class residence, and 19.5% chose the economic residence. Mechanisms of decision making were analyzed; particularly in terms of relationship to demographic characteristics and residence specifications. Also, the importance and impact of demand / supply parameters in reaching decision were analyzed.">  <meta property="twitter:card" content="summary_large_image"> <meta property="twitter:url" content="https://press.ierek.com/index.php/ESSD/article/view/681"> <meta property="twitter:title" content="A Model Proposed for the Prediction of Future Sustainable Residence Specifications Using Analytical Network Process"> <meta property="twitter:description" content="In Egypt, people are unable to determine the qualities of appropriate residence that achieves quality and occupant satisfaction, and contributes to sustainability of residential conglomerations. In general, developing countries lack housing information which can be used to enhance quality of residence. Also, the methods of assessing and identifying the appropriate criteria for future residence quality remain traditional ones that cannot address the multiple, conflicting, overlapping aspects to reach a good decision. This calls for using the Analytical Network Process (ANP), an effective tool for specifying the relative importance of all factors impacting a specific issue for making an appropriate residential decision. In addition, this method provides results for the decision element impacts network within the decision structure; thus contributing to more understanding of the mechanisms and requirements of residence selection. The proposed decision structure comprises a two-level network: main clusters, main elements, and sub-elements included in the demographic characteristics group, the residence criteria group, the demand parameters group, the supply parameters group, the residence specifications group, and the alternatives group which representing, in total, the decision and specifying the percentage needed for each housing level. Results of the model showed complete capacity in smoothly addressing complexities and overlapping in the decision structure. The decision structure showed that 52% chose luxury residence, 28% chose middle-class residence, and 19.5% chose the economic residence. Mechanisms of decision making were analyzed; particularly in terms of relationship to demographic characteristics and residence specifications. 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class="pkp_structure_main col-xs-12 col-sm-10 col-md-9" role="main"> <nav class="cmp_breadcrumbs" role="navigation" aria-label="You are here:"> <ol class="breadcrumb"> <li> <a href="https://press.ierek.com/index.php/ESSD/index"> Home </a> </li> <li> <a href="https://press.ierek.com/index.php/ESSD/issue/archive"> Archives </a> </li> <li> <a href="https://press.ierek.com/index.php/ESSD/issue/view/35"> Vol. 4 Issue 3 (2019): Creative Environments: Sustainable Places of Living </a> </li> <li class="active"> </li> </ol> </nav> <div class="page page_article"> <article class="article-details" data-article-id="681"> <header> <div class="row article_title pb-3 animatedParent animateOnce" data-sequence='300'> <div class="col-12 col-md-9"> <div class="col-md-12"> <h1 class="page-header animated fadeInUp slow" data-id='2'> A Model Proposed for the Prediction of Future Sustainable Residence Specifications Using Analytical Network Process </h1> </div> <div class="author_section col-md-12 mt-2"> <div class="item"> <span class="author my-4"> <i class="fa fa-envelope-o" style="color: #84b9f5" data-toggle="tooltip" data-placement="top" title="ayman.ibrahim@mu.edu.eg"> </i> Ayman M. Zakaria Eraqi <sup>(1)</sup><span>,</span> </span> <span class="author my-4"> Walid Abdul-Hady Shoura <sup>(2)</sup> </span> </div> <div class="item mt-2" style="font-style: italic; font-size:0.8em; color:#6e6e6e;"> <div> (1) <span class="author-affiliation" data-author-id="1088">Lecturer at Architecture Department, faculty of fine arts, Minia University, Egypt.</span><span class="author-affiliation-last-comma" data-author-id="1088">,</span> </div> <div> (2) <span class="author-affiliation" data-author-id="1089">Lecturer at Architecture Department, faculty of fine arts, Minia University, Egypt.</span> </div> </div> </div> </div> <div class="doi_dimension col-md-12 my-2"> <div class="col-md-12"> <div class="doi"> <a href="https://doi.org/10.21625/essd.v4i3.681"> https://doi.org/10.21625/essd.v4i3.681 </a> </div> </div> <div class="col-md-12"> <span class="__dimensions_badge_embed__ pull-lg-right" data-doi="10.21625/essd.v4i3.681" data-style="large_rectangle"></span> </div> </div> <div class="crossmark">  <a href="#" class="crossmark_button ml-auto" data-target="crossmark"> <img src="https://crossmark-cdn.crossref.org/widget/v2.0/logos/CROSSMARK_Color_horizontal.svg" width="150" /> </a>  </div> <script async src="https://crossmark-cdn.crossref.org/widget/v2.0/widget.js"></script> </div> </header> <div class="row article_content"> <section class="article-sidebar col-md-12"> <h2 class="sr-only">Article Sidebar</h2> <div class="list-group col-md-12 pr-0"> <div class="row mb-4"> <div class="issue_identification col-md-6"> <strong>Issue</strong></br> <a class="title" href="https://press.ierek.com/index.php/ESSD/issue/view/35"> Vol. 4 Issue 3 (2019): Creative Environments: Sustainable Places of Living </a> </div> <div class="col-md-6 date-list pr-0 py-4"> <div class="detail col-md-6 col-xs-6 "> <strong>Submitted</strong> </br> <span class="date">December 30, 2019</span> </div> <div class="detail col-md-6 col-xs-6 pull-right"> <strong>Published</strong></br> <span class="date">December 30, 2019</span> </div> </div> </div> <div class="keywords pt-4 pt-md-0"> <strong> Keywords:</strong> <div class="item"> <ul class="value mb-4 pt-2 pb-4 pt-md-0 pb-md-0 mb-md-0 pl-0"> Sustainable Residence Specifications - Supply/ Demand - Decision Making - Prediction - Analytical Network Process (ANP) </ul> </div> </div> <div class="download col-md-12 col-xs-12 pl-0"> <a class="galley-link btn btn-primary pdf" href="https://press.ierek.com/index.php/ESSD/article/view/681/584"> PDF </a> </div> </div> </section> <div class="row tabbed_section"> <div class="col-md-12 article_content"> <div class="tabbable-panel px-4 mx-2"> <div class="tabbable-line"> <ul class="nav nav-tabs "> <li class="active"> <a href="#abstract" data-toggle="tab"> <svg class="icon line-color" width="18" height="18" id="folder-alt" data-name="line color" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"> <path id="primary" d="M3,20V5A1,1,0,0,1,4,4H8a1,1,0,0,1,.71.29l2.41,2.42a1,1,0,0,0,.71.29H17a1,1,0,0,1,1,1v3" style="fill: none; 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In general, developing countries lack housing information which can be used to enhance quality of residence. Also, the methods of assessing and identifying the appropriate criteria for future residence quality remain traditional ones that cannot address the multiple, conflicting, overlapping aspects to reach a good decision. This calls for using the Analytical Network Process (ANP), an effective tool for specifying the relative importance of all factors impacting a specific issue for making an appropriate residential decision. In addition, this method provides results for the decision element impacts network within the decision structure; thus contributing to more understanding of the mechanisms and requirements of residence selection. The proposed decision structure comprises a two-level network: main clusters, main elements, and sub-elements included in the demographic characteristics group, the residence criteria group, the demand parameters group, the supply parameters group, the residence specifications group, and the alternatives group which representing, in total, the decision and specifying the percentage needed for each housing level. Results of the model showed complete capacity in smoothly addressing complexities and overlapping in the decision structure. The decision structure showed that 52% chose luxury residence, 28% chose middle-class residence, and 19.5% chose the economic residence. Mechanisms of decision making were analyzed; particularly in terms of relationship to demographic characteristics and residence specifications. Also, the importance and impact of demand / supply parameters in reaching decision were analyzed.</p> </div> </div> <div class="XML_generated"> <div class="xml_description row "> <div class="col-md-6"> <h2 class="full_articles"> Full text article</h2> </div> <div class="col-md-6"> <small class="pull-right">Generated from XML file </small> </div> </div> <div class="clearfix"></div> </div> <div class="article-references mt-4 pt-2 animatedParent"> <h2 class="animated fadeIn slow">References</h2> <div class="article-references-content"> <p>Adams, W. J., Saaty, R., & Saaty, T. L. (2003). Super Decisions Software Guide. Pittsburgh: RWS Publications. </p> <p>Alwetaishi, M., Gadi, M., & Issa, U. H. (2017). Reliance of building energy in various climatic reions using multi criteria. International Journal of Sustinable Built Environment, 6, 555-564. </p> <p>Amao, F. L. (2010). Housing quality in informal settlements and Urban upgrading in Ibadan, Nigeria. 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Zakaria Eraqi</strong> <div class="article-author-affilitation"> Lecturer at Architecture Department, faculty of fine arts, Minia University, Egypt. </div> <div class="primary_contact"> <i class="fa fa-envelope-o"> </i> <a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="fd9c84909c93d3949f8f9c959490bd9088d3989988d3989a">[email protected]</a> (Primary Contact) </div> </div> <div class="author my-4"> <strong>Walid Abdul-Hady Shoura</strong> <div class="article-author-affilitation"> Lecturer at Architecture Department, faculty of fine arts, Minia University, Egypt. </div> </div> </div> </div> <div class="tab-pane fade" id="citation"> <div class="panel panel-default how-to-cite"> <div class="panel-body"> <div id="citationOutput" role="region" aria-live="polite"> <div class="csl-bib-body"> <div class="csl-entry">Eraqi, A. M. Z., & Shoura, W. A.-H. (2019). 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A Model Proposed for the Prediction of Future Sustainable Residence Specifications Using Analytical Network Process | Environmental Science & Sustainable Development