Urban Areas Development Analysis and Management Decision Support based on Residential Real Estate Objects Evaluation Methods

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on System Modeling and Advancement in Research Trends, SMART 2019; Moradabad; Moradabad

Год издания: 2020

Идентификатор DOI: 10.1109/SMART46866.2019.9117312

Ключевые слова: apartment building, box-and-whiskers, city, data visualisation, decision support, geospatial data, real estate market, real estate objects monitoring, real estate valuation, urban area

Аннотация: Modern monitoring and accounting tools allow to accumulate a significant amount of thematic information, which can be a good basis for supporting management decisions on the development of urban areas. Therefore, this paper proposes a number of methods for a comprehensive evaluation and work with information about residential real Показать полностьюestate. Modern approaches to work with data on the real estate market are considered. However, an appropriate information infrastructure is needed to obtain a holistic view of the composition and status of residential real estate. The paper describes the developed system for spatial monitoring of real estate objects, as well as the tools included in it for presentation geospatial data on residential objects (at the level of buildings and apartments) and assessing their value based on comparative approach. It is proposed to use the 'box-and-whiskers' method to determine price spike for objects in the process of using the comparative approach. © 2019 IEEE.

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Издание

Журнал: Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, SMART 2019

Номера страниц: 184-189

Издатель: 8th International Conference on System Modeling and Advancement in Research Trends, SMART 2019

Персоны

  • Parygin D. (Volgograd State Technical University, Department of CAD, Volgograd, Russian Federation)
  • Masaev S. (Oil and Gas Institute of the Siberian Federal University, Department of Fire Safety, Krasnoyarsk, Russian Federation)
  • Malikov V. (Volgograd State Technical University, Department of CAD, Volgograd, Russian Federation)
  • Maksimova E. (Volgograd State University, Department of Information Security, Volgograd, Russian Federation)
  • Sadovnikova N. (Volgograd State University, Department of Information Security, Volgograd, Russian Federation)
  • Finogeev A. (Penza State University, Department of CAD, Penza, Russian Federation)

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