A METHOD FOR ASSESSING INvESTMENT ATTRACTIvENESS OF URBAN PLANNING PROJECTS

To ensure reliability of making decisions concerning investments into urban planning projects, it is useful to have a model of the urban real property value, e.g. apartment value. This article proposes an algorithm for estimating the value of an urban real estate object using Pareto ranking and a me...

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Main Authors: O A. Bayuk, I. E. Denezhkina, S. A. Zadadaev
Format: Article
Language:Russian
Published: Government of the Russian Federation, Financial University 2017-10-01
Series:Финансы: теория и практика
Subjects:
Online Access:https://financetp.fa.ru/jour/article/view/40
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spelling doaj-3ba71d55c9c041578dc5920681f57c132021-07-28T16:22:42ZrusGovernment of the Russian Federation, Financial University Финансы: теория и практика2587-56712587-70892017-10-0102747810.26794/2587-5671-2014-0-2-74-7877A METHOD FOR ASSESSING INvESTMENT ATTRACTIvENESS OF URBAN PLANNING PROJECTSO A. Bayuk0I. E. Denezhkina1S. A. Zadadaev2the Financial universitythe Financial universitythe Financial universityTo ensure reliability of making decisions concerning investments into urban planning projects, it is useful to have a model of the urban real property value, e.g. apartment value. This article proposes an algorithm for estimating the value of an urban real estate object using Pareto ranking and a method of mutual concessions. The article begins with a brief description of the Pareto ranking method. Then parameters to be taken into account in the apartment value model are defined. After that the task solution algorithm is described. The algorithm is implemented in the FORTRAN-90 language. The software developed is used for solving the task of estimating the value of Moscow apartments. The urban apartment valuation is made using information on similar objects. The software outputs an interval estimate of the apartment value.https://financetp.fa.ru/jour/article/view/40comparative approachmulti-criteria optimizationpareto rankingpricing factorspreference
collection DOAJ
language Russian
format Article
sources DOAJ
author O A. Bayuk
I. E. Denezhkina
S. A. Zadadaev
spellingShingle O A. Bayuk
I. E. Denezhkina
S. A. Zadadaev
A METHOD FOR ASSESSING INvESTMENT ATTRACTIvENESS OF URBAN PLANNING PROJECTS
Финансы: теория и практика
comparative approach
multi-criteria optimization
pareto ranking
pricing factors
preference
author_facet O A. Bayuk
I. E. Denezhkina
S. A. Zadadaev
author_sort O A. Bayuk
title A METHOD FOR ASSESSING INvESTMENT ATTRACTIvENESS OF URBAN PLANNING PROJECTS
title_short A METHOD FOR ASSESSING INvESTMENT ATTRACTIvENESS OF URBAN PLANNING PROJECTS
title_full A METHOD FOR ASSESSING INvESTMENT ATTRACTIvENESS OF URBAN PLANNING PROJECTS
title_fullStr A METHOD FOR ASSESSING INvESTMENT ATTRACTIvENESS OF URBAN PLANNING PROJECTS
title_full_unstemmed A METHOD FOR ASSESSING INvESTMENT ATTRACTIvENESS OF URBAN PLANNING PROJECTS
title_sort method for assessing investment attractiveness of urban planning projects
publisher Government of the Russian Federation, Financial University
series Финансы: теория и практика
issn 2587-5671
2587-7089
publishDate 2017-10-01
description To ensure reliability of making decisions concerning investments into urban planning projects, it is useful to have a model of the urban real property value, e.g. apartment value. This article proposes an algorithm for estimating the value of an urban real estate object using Pareto ranking and a method of mutual concessions. The article begins with a brief description of the Pareto ranking method. Then parameters to be taken into account in the apartment value model are defined. After that the task solution algorithm is described. The algorithm is implemented in the FORTRAN-90 language. The software developed is used for solving the task of estimating the value of Moscow apartments. The urban apartment valuation is made using information on similar objects. The software outputs an interval estimate of the apartment value.
topic comparative approach
multi-criteria optimization
pareto ranking
pricing factors
preference
url https://financetp.fa.ru/jour/article/view/40
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