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Journals / International Journal of Engineering and Geosciences / 2022 / Cilt: 7 - Sayı: 1

Multivariate statistical analysis application to determine factors affecting the parcel value to be used mass real estate valuation approaches

Şükran YALPİR
Fatma BUNYAN UNEL
Pages
32–42
Publication Date
2022-10-19
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Grouping was carried out with 10 factors and the results were interpreted.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Real estate is a form of immovable asset that enables individuals to exert their property rights and provides a form of material guarantee through its economic value.
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Key Findings & Data:A total of 559 experts working in real estate valuation and 1,915 members of the public that play a role in real estate purchases and sales were contacted in Ankara, Konya and Kayseri, all of which are located in the Central Anatolia Region of Turkey.
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Conclusion & Impact:Grouping was carried out with 10 factors and the results were interpreted.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Criteria · Factor Analysis · Mass Appraisal

Abstract

Real estate is a form of immovable asset that enables individuals to exert their property rights and provides a form of material guarantee through its economic value. The economic value of real estate, which is reflected in the price, is an aspect that all countries emphasize today by identifying purchase and sale values in market conditions that are removed from large project rumors and speculations. The more the real estate market value is removed from reality, the more negative its effect will be on the cost-benefit of real estate management. This study aimed to identify the main criteria that affect parcel value, which constitutes a basis for real estate, narrow them down to the optimum level using questionnaires and standardize them. A total of 559 experts working in real estate valuation and 1,915 members of the public that play a role in real estate purchases and sales were contacted in Ankara, Konya and Kayseri, all of which are located in the Central Anatolia Region of Turkey. The factor analysis method was applied to the survey data. Grouping was carried out with 10 factors and the results were interpreted.

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Cite This Article

YALPİR, Ş., UNEL, F. B. (2022). Multivariate statistical analysis application to determine factors affecting the parcel value to be used mass real estate valuation approaches. International Journal of Engineering and Geosciences, Cilt: 7 - Sayı: 1, 32–42. https://ajindex.com/articles/540652

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References (9)

  1. Açlar A & Çağdaş V (2008). Taşınmaz (Gayrimenkul) Değerlemesi (2. Baskı). Ankara, Türkiye: TMMO, HKMO. Alpar R (2013). Çok Değişkenli İstatistiksel Yöntemler (Uygulamalı) (4. Baskı). Ankara, Türkiye: Detay Yayıncılık. Altunışık R, Çoşkun R, Bayraktaroğlu S & Yıldırım E (2010). Sosyal Bilimlerde Araştırma Yöntemleri SPSS Uygulamalı. Sakarya, Türkiye: Sakarya Yayıncılık. Arıkan R (2013).
  2. Anketler ve Anket Soruları. Ankara, Türkiye: Nobel Akademik Yayıncılık. Aydinoglu A C, Bovkir R & Colkesen I (2020). Implementing a mass valuation application on interoperable land valuation data model designed as an extension of the national GDI, Survey Review, 1771967.
  3. Baş T (2010). Anket (6. Baskı). Ankara, Türkiye: Seçkin Yayıncılık. Bender A, Din A, Hoesli M & Brocher S (2000). Environmental preferences of homeowners, Further evidence using the AHP method. Journal of Property Investment&Finance, 18(4), 445–455.
  4. Biçen S (2010). Uluslararası Sermaye Yatırımlarının Gelişmekte Olan Ülkelerin Bankacılık Sektörüne Etkisi, Türkiye Örneği. Doktora tezi, Kadir Has Üniversitesi,
  5. İstanbul, Türkiye. Bozdağ A & Ertunç E (2020). Real Property Valuation in the Sample of the City of Niğde through GIS and AHP Method, Journal of Geomatics, 5(3), 228–240.
  6. Büyüköztürk Ş (2002). Faktör Analizi: Temel Kavramlar ve Ölçek Geliştirmede Kullanımı. Kuram ve Uygulamada Eğitim Yönetimi, 32, 470–483. Cellmer R & Trojanek R (2020). Towards Increasing Residential Market Transparency: Mapping Local Housing Prices and Dynamics, ISPRS International Journal of Geo-Information, 9(2), 9010002. Çakır P & Sesli F A (2013). Arsa Vasıflı Taşınmazların Değerine Etki Eden Faktörlerin ve Bu Faktörlerin Önem Sıralarının Belirlenmesi. Harita Teknolojileri Elektronik Dergisi, 5(3), 1–16.
  7. Erdem N (2018). The Content Analysis on Graduate Theses in the Field of Real Estate Valuation in Turkey, APJES, 6(1), 112–126.
  8. Ertaş M (2019). Education for Real Estate Valuation in Turkey, International Journal of Engineering and Geosciences (IJEG), 4(1), 008–015.
  9. IAAO (2014). Guidance on International Mass Appraisal and Related Tax Policy 2014. The International Association of Assessing Officers (IAAO), the United States of America. IAAO (2017). Standard on Mass Appraisal of Real Property 2017. The International Association of Assessing Officers (IAAO), the United States of America. IVS (2017). International Valuation Standards (IVS). International Valuation Standards Council, United Kingdom. Kalaycı Ş (Ed.). (2010). SPSS Uygulamal