An Innovative GIS-Based Territorial Information Tool for the Evaluation of Corporate Properties: An Application to the Italian Context

Marco Locurcio, Pierluigi Morano, Francesco Tajani and Felicia Di Liddo
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Marco Locurcio: Department of Science of Civil Engineering and Architecture, Polytechnic University of Bari, 70125 Bari, Italy
Pierluigi Morano: Department of Science of Civil Engineering and Architecture, Polytechnic University of Bari, 70125 Bari, Italy
Francesco Tajani: Department of Architecture and Design, Sapienza University of Rome, 00196 Rome, Italy
Felicia Di Liddo: Department of Science of Civil Engineering and Architecture, Polytechnic University of Bari, 70125 Bari, Italy

Sustainability, 2020, vol. 12, issue 14, 1-29

Abstract: The financial transmission of the USA’s housing price bubble has highlighted the inadequacy of the valuation methods adopted by the credit institutions, due to their static nature and inability to understand complex socio-economic dynamics and their related effects on the real estate market. The present research deals with the current issue of using Automated Valuation Methods for expeditious assessments in order to monitor and forecast market evolutions in the short and medium term. The paper aims to propose an evaluative model for the corporate market segment, in order to support the investors’, the credit institutions’ and the public entities’ decision processes. The application of the proposed model to the corporate real estate segment market of the cities of Rome and Milan (Italy) outlines the potentialities of this approach in property big data management. The elaboration of input and output data in the GIS (Geographic Information System) environment allowed the development of an intuitive platform for the immediate representation of the results and their easy interpretation, even to non-expert users.

Keywords: mass appraisal techniques; evaluation model; hedonic price method; geographically weighted regression; evolutionary polynomial regression; market value (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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