اقتراح نموذج رياضي لتقييم العقارات السكنية في مدينة طرطوس

Ali  Janoud; Samah Makieh; Ahmad Sleiman

Suggest Mathematical Method for Residential Real Estate Appraisal in Tartous City

Authors

Ali Janoud Tishreen University
Samah Makieh Tishreen University
Ahmad Sleiman Tishreen University

Keywords:

real estate appraisal, residential real estate, artificial neural networks.

Abstract

The real estate market in general suffers from a problem in determining the price of residential real estate as residential real estate prices are not subject to controls and are far from their actual market values due to the absence of a specific methodology that helps real estate residents and owners in determining the price of residential real estate in the city of Tartous, so The main aim of this research is to valuate residential real estate prices in tartous city by developing a mathematical model for real estate appraisal using artificial neural networks (ANN) technology. The factors that affect the determination of market value for residential real estate in tartous city were defined by a questionnaire and personal interviews with real estate appraisal experts. Data were collected according to the factors that affect the determination of market value for residential real estate from real estate market in tartous city according to real sales occurring within the boundaries of tartous city during the years (2017-2020). The data were analyzed and processed to build a three layers (input layer - one hidden layer – output layer) neural networks model with 9 different inputs to valuate residential real estate prices in tartous city. The proposed model has a success rate of 85%. The results of this research would help researchers in developing more effective property pricing models in Syria.

Author Biographies

Ali Janoud, Tishreen University

Department of Construction and Management Engineering, Faculty of Civil Engineering

Samah Makieh, Tishreen University

Assistant Professor, Department of Construction and Management Engineering, Faculty of Civil Engineering

Ahmad Sleiman, Tishreen University

Postgraduate Student, Department of Construction and Management Engineering, Faculty of Civil Engineering

Downloads

Pdf (العربية)

Published

2021-03-10

How to Cite

جنود ع, مكية س, سليمان ا. Suggest Mathematical Method for Residential Real Estate Appraisal in Tartous City. Tuj-eng [Internet]. 2021Mar.10 [cited 2024Nov.24];43(1). Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/10346

Download Citation

Issue

Vol. 43 No. 1 (2021): Tishreen University Journal for Research and Scientific Studies - Engineering Sciences Series

Section

Articles

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

The authors retain the copyright and grant the right to publish in the magazine for the first time with the transfer of the commercial right to Tishreen University Journal for Research and Scientific Studies - Engineering Sciences Series

Under a CC BY- NC-SA 04 license that allows others to share the work with of the work's authorship and initial publication in this journal. Authors can use a copy of their articles in their scientific activity, and on their scientific websites, provided that the place of publication is indicted in Tishreen University Journal for Research and Scientific Studies - Engineering Sciences Series . The Readers have the right to send, print and subscribe to the initial version of the article, and the title of Tishreen University Journal for Research and Scientific Studies - Engineering Sciences Series Publisher

journal uses a CC BY-NC-SA license which mean

You are free to:

Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material
The licensor cannot revoke these freedoms as long as you follow the license terms.

Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial — You may not use the material for commercial purposes.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.