R
Rotimi Boluwatife Abidoye
Researcher at Hong Kong Polytechnic University
Publications - 30
Citations - 419
Rotimi Boluwatife Abidoye is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Valuation (finance) & Real estate. The author has an hindex of 10, co-authored 22 publications receiving 263 citations. Previous affiliations of Rotimi Boluwatife Abidoye include University of New South Wales.
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Critical barriers to sustainability attainment in affordable housing: International construction professionals’ perspective
Michael Atafo Adabre,Albert P.C. Chan,Amos Darko,Robert Osei-Kyei,Rotimi Boluwatife Abidoye,Theophilus Adjei-Kumi +5 more
TL;DR: In this article, the authors identify critical barriers (CBs) to sustainable affordable housing (SAH) from an international perspective, which serve as recommended set of barriers for further empirical study to unearth local variations and context specific barriers to SAH in most countries.
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Improving property valuation accuracy : a comparison of hedonic pricing model and artificial neural network
TL;DR: The results showed that the ANN technique outperformed the HPM approach, in terms of accuracy in predicting property values with mean absolute percentage error (MAPE) values of 15.94 and 38.23%, respectively.
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Critical review of hedonic pricing model application in property price appraisal: A case of Nigeria
TL;DR: In this paper, a review of the literature on the application of the hedonic pricing model (HPM) for property price appraisal in Nigeria is presented, focusing on the Lagos metropolis property market as a study area.
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Modelling property values in Nigeria using artificial neural network
TL;DR: In this paper, an artificial neural network (ANN) is applied in property valuation using the Lagos metropolis property market as a representative case, which shows that the ANN model possesses a good predictive ability, implying that it is suitable and reliable for property valuation.
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Artificial neural network in property valuation: application framework and research trend
TL;DR: In this paper, the authors present an application guide for researchers and practitioners, and also establish the trend in this research area by reviewing the studies that adopted artificial neural networks (ANN) for property valuation.