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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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