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Application of AHP and a mathematical index to estimate livability in tourist districts:The case of al Qasba in Sharjah

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Frontiers of Architectural Research 2020年第4期9卷 872-889页

作者： Emad Mushtaha Imad alsyouf luai al labadl Rawan Hamad Noor Khatib Maitha al Mutawa Department of Architectural Engineering Sustainable Engineering Asset Management(SEAM)Research GroupCollege of EnsineerinsUniversity of SharjahSharjahUnited Arab Emirates Sustainable Engineering Asset Management(SEAM)Research Group Department of Indus trial Engineering and Engineering ManagementCollege of EnsineerinsUniversity of SharjahSharjahUnited Arab Emirates Department of Mathematical and Computational Sciences University of Toronto MississaugaMississaugaOntarioL5L 1C6Canada Department of Architectural Engineering College of EngineeringUniversity of SharjahSharjahUnited Arab Emirates

Urban planners must ensure that urban public spaces are enjoyable to use to create a lively city that expresses their culture and traditions and welcomes social *** study aims to develop a theoretical index for assessing the livability levels in tourist ***,a survey-based study accompanied by a literature review is used to derive criteria for *** addition to using the analytic hierarchy process to develop an importa ncebased hierarchy of criteria,mathematical analysis is applied to derive the livability ***,one of Sharjah's well-known public spaces,al Qasba Tourist District,is assessed as a case *** study discussed the main concepts and factors of livability in urban public spaces to examine the livable extent of Qasba and the significanee of *** show that the current livability level in al Qasba is less than 50%,confirming its urgent need for further urban *** study explores the livability assessment criteria and their influencing *** the suggested conceptual livability in dexen ables decision makers to assess the livability level,analyze the in fluencing factors,and suggest solutions to improve the overall livability levels of open public spaces.

关键词： Livability AHP Stratified random sampling Sharjah UAE

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