Published April 21, 2022 | Version v1
Journal article Open

PRICE DIFFERENTIATION MODEL BETWEEN UNITS FOR VERTICAL HOUSING: A STUDY OF A BUILDING CONSTRUCTION COMPANY

  • 1. Federal University of Santa Catarina (UFSC), Joinville, Brazil

Description

Abstract: The use of the internet as a sales channel provides the consumer with information, facilitating the comparison of goods and increasing the already existing competitiveness between companies. The customer chooses by analyzing the products in terms of their attributes and according to the purchasing power. In this sense, an adequate pricing process is essential for any company. In the construction industry, this issue is even more relevant because of the heterogeneity of housing units. Furthermore, the high purchase price compared to other products, together with a variety of subjective attributes in the customer's perception, make the pricing process a complex undertaking. Thus, one question would be how to devise a distribution of prices in vertical housing, where the units in a building vary in size, number of rooms and external views. With the aim of defining a price differentiation model between units, this study was carried out based on the price formation process in a construction company in Santa Catarina state, Brazil. With the collected empirical data, a hedonic multivariate linear regression model was developed, with the aim of constructing an automated price differentiation system. The mathematical model showed good results for the numerical adjustment and in its ability to estimate price differentiation based on quantifiable attributes. Thus, it provides evidence of the applicability of the method in the correlation of the client's subjective attributes with the value of residential units in vertical condominiums.

Keywords: Pricing; residential property; numerical method; linear regression.

Title: PRICE DIFFERENTIATION MODEL BETWEEN UNITS FOR VERTICAL HOUSING: A STUDY OF A BUILDING CONSTRUCTION COMPANY

Author: Edilson De Souza Vidal, Sérgio Junichi Idehara

International Journal of Civil and Structural Engineering Research  

ISSN 2348-7607 (Online)

Vol. 10, Issue 1, April 2022 - September 2022

Page No: 38-50

Publisher: Research Publish Journals

Website: www.researchpublish.com

Published date: 21-April-2022

DOI: https://doi.org/10.5281/zenodo.6475476

Paper Link (Source): https://www.researchpublish.com/papers/price-differentiation-model-between-units-for-vertical-housing-a-study-of-a-building-construction-company

Notes

Research Publish Journals, Website: www.researchpublish.com

Files

PRICE DIFFERENTIATION MODEL-21042022-4.pdf

Files (1.2 MB)

Name Size Download all
md5:cac40285d7c03830119804a61874645f
1.2 MB Preview Download

Additional details

References

  • [1] DIEESE, "A Construção Civil e os Trabalhadores: panorama dos anos recentes" [Civil construction and workers: overview of recent years], Estudos e Pesquisas, n°.95, 2020.
  • [2] A. Biswas, A. Ghosh, A. Kar, T. Mondal, B. Ghosh, P. K. Bardhan, "The impact of COVID-19 in the construction sector and its remedial measures", Journal of Physics: Conference Series, 1797, pp. 1-11, 2021.
  • [3] A. Khaertdinova, A. Maliashova, S. Gadelshina, "Economic development of the construction industry as a basis for sustainable development of the country", E3S Web of Conferences, 274, pp. 1-11, 2021.
  • [4] C. M. Barresi, "The role of the real estate agent in residential location", Sociological Focus, vol. 1, n°. 4, pp. 59-71, 1968.
  • [5] N. Rizun, A. Baj-Rogowska, "Can Web Search Queries Predict Prices Change on the Real Estate Market?", IEEE access, vol. 9, pp. 70095-70117, 2021.
  • [6] Q. Huang, X. Y. Chen, C. Ou, R. M. Davison, Z.S. Hua, "Understanding buyers' loyalty to a C2C platform: The roles of social capital, satisfaction and perceived effectiveness of E-commerce institutional mechanisms", Information Systems Journal, vol. 27, n°. 1, pp. 91-119, 2017.
  • [7] C. A. C. Abreu, "Estimating the optimal market price to sell an apartment", Ambiente Construído, vol. 18, n°. 4, pp. 319-327, 2018.
  • [8] P. M. Anglin, R. Rutherford, T. M. Springer, "The trade-off between the selling price of residential properties and time-on-the-market: the impact of price setting", The Journal of Real Estate Finance and Economics, vol. 26, pp. 95–111, 2003.
  • [9] R. B. Abidoye, A. P. C. Chan, "Critical determinants of residential property value: professionals' perspective", Journal of Facilities Management, vol. 14, n°. 3, pp. 283-300, 2016.
  • [10] J. M. Quigley, "Consumer choice of dwelling, neighborhood and public services", Regional Science and Urban Economics, vol. 15, pp. 41-63, 1985.
  • [11] P. Englund, J. M. Quigley, C. L. Redfearn, "The choice of methodology for computing housing price indexes: comparisons of temporal aggregation and sample definition", Journal of Real Estate Finance and Economics, vol. 1, n°. 1, pp. 91-112, 1999.
  • [12] Park, D. Lee, S. Kim, "Feasible sales price decision model of apartment housing units considering the market price and buying power", Journal of Asian Architecture and Building Engineering, vol. 15, n°. 2, pp. 202-208, 2016.
  • [13] J. Hong, H. Choi, W. S. Kim, "A house price valuation based on the random forest approach: the mass appraisal of residential property in South Korea", International Journal of Strategic Property Management, vol. 24, n°. 3, pp. 140-152, 2020.
  • [14] S. B. Caudill, F. G. Mixon, "Estimating bargaining power in real estate pricing models: conceptual and empirical issues", Journal of Risk and Financial Management, vol. 13, n°. 105, pp. 1-8, 2020.
  • [15] K. Kim, J. Yun, S. Kim, D. Y. Kim, D. Lee, "Development of simulation model for proper sales price of apartment house in Seoul", Buildings, vol. 10, n°. 244, pp. 1-15, 2020.
  • [16] Dikmen, M. T. Birgonul, A. K. Gur, "A case-based decision support tool for bid mark-up estimation of international construction projects", Automation in Construction, vol. 17, n°. 1, pp. 30-44, 2007.