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    Predicting the Monetary Value of Office Property Post Renovation Work

    Source: Journal of Urban Planning and Development:;2018:;Volume ( 144 ):;issue: 002
    Author:
    Kim Jungwoo;Cho Kyuman;Kim Taehoon;Yoon Yoojung
    DOI: 10.1061/(ASCE)UP.1943-5444.0000434
    Publisher: American Society of Civil Engineers
    Abstract: Recently, the construction industry has experienced an increase in the volume of renovation work aimed at improving the physical and economic performance of buildings. However, owners often hesitate to execute renovation projects because they find it difficult to guarantee an improvement in the monetary value of buildings after their renovation. Therefore, by applying multiple regression analysis to data collected from 98 actual renovated office cases, this study develops a model to enable convenient estimation of the monetary value of renovated office buildings compared with existing methods. The application of the model to 2 validation cases shows: (1) an average error rate of 1.5%; and (2) the need for comparatively less information for implementing the model. Essentially, it will enable the owners to make decisions regarding the execution of building renovation projects based on an estimation of the monetary value of buildings after renovation, which will bolster the renovation market.
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      Predicting the Monetary Value of Office Property Post Renovation Work

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4249764
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    contributor authorKim Jungwoo;Cho Kyuman;Kim Taehoon;Yoon Yoojung
    date accessioned2019-02-26T07:50:30Z
    date available2019-02-26T07:50:30Z
    date issued2018
    identifier other%28ASCE%29UP.1943-5444.0000434.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4249764
    description abstractRecently, the construction industry has experienced an increase in the volume of renovation work aimed at improving the physical and economic performance of buildings. However, owners often hesitate to execute renovation projects because they find it difficult to guarantee an improvement in the monetary value of buildings after their renovation. Therefore, by applying multiple regression analysis to data collected from 98 actual renovated office cases, this study develops a model to enable convenient estimation of the monetary value of renovated office buildings compared with existing methods. The application of the model to 2 validation cases shows: (1) an average error rate of 1.5%; and (2) the need for comparatively less information for implementing the model. Essentially, it will enable the owners to make decisions regarding the execution of building renovation projects based on an estimation of the monetary value of buildings after renovation, which will bolster the renovation market.
    publisherAmerican Society of Civil Engineers
    titlePredicting the Monetary Value of Office Property Post Renovation Work
    typeJournal Paper
    journal volume144
    journal issue2
    journal titleJournal of Urban Planning and Development
    identifier doi10.1061/(ASCE)UP.1943-5444.0000434
    page4018007
    treeJournal of Urban Planning and Development:;2018:;Volume ( 144 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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