Simulation Models to Evaluate the Value Creation of the Grass-Roots Participation in the Enhancement of Public Real-Estate Assets with Evidence from Italy

Mangialardo, Alessia; Micelli, Ezio

doi:10.3390/buildings7040100

Cited by 17 publications

(10 citation statements)

References 25 publications

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“…The PhF, PF and AMF clusters consist of characteristics, which are chosen consulting international literature [2] , [4] , [16] . Instead, the features in SEF cluster are selected by the authors in order to capture and interpret socio-economic condition of the surrounding area, where the auction takes place [17] , [18] , [19] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Data from RE distressed market: Properties auctions in Italy

Canesi

Marella

2018

Data in Brief

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This paper reports data describing Real Estate (RE) distressed market, focusing on properties foreclosures occurred in North-East Italy. A survey was carried out consulting financial institutions, courts of law and different associations of public notaries. The aim of this survey was to record RE auctions, collecting technical and socio-economic features. The novelties of this survey are mainly two. The first consists in the dataset itself, due to the difficult in collecting such type of data in the Italian scenario. The second one is the recording of socio-economic features related to the occurrence of the survived Re auction. The collected socio-economic characteristics regard housing market trends and performance as well as demographic features. These features could be analyzed in order to relate the performances of this type of distressed market and the surrounding urban context. The database come from an analysis of the authors regarding the discount existing between the Forced Sale Price and the Market value, assessed by appraisers.

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Data from RE distressed market: Properties auctions in Italy

Canesi

Marella

2018

Data in Brief

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“…The use of simulation modelling of real estate markets has not yet been studied extensively (e.g., [14][15][16][17][18][19]). This study has mainly concerned the streamlining of the economic decisions taken (e.g., [16]), effectiveness of investments, inter alia, maximizing income from flat rental [15,20] or the effect of environmental and socio-economic factors on demand [19]. Simulation modelling in this case allowed for mimicking the probabilistic nature of real-life phenomena (e.g., [3,21]).…”

Section: Literature Review and The Background Of The Studymentioning

confidence: 99%

“…Geostatistical methods play a special role in modelling spatial phenomena of real estate markets since they enable a description and identification of spatial continuity which, in turn, is an inherent feature of many phenomena in real estate markets (e.g., [2,5,20,25]). These models can be developed on the basis of spatial relationships analysis (e.g., [1,[26][27][28][29]).…”

Section: Literature Review and The Background Of The Studymentioning

confidence: 99%

Modelling and Simulation of Selected Real Estate Market Spatial Phenomena

Kobylińska

Cellmer

2019

IJGI

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This paper presents a novel approach to the modelling and simulation of real estate transactions. The main purpose of the study was to develop the theoretical foundations for building simulation models of transaction locations and real estate prices. Pursuing this objective involved a spatial market analysis based on geostatistics to develop maps of the dynamics and spatial activity of the real estate market. The research was conducted by presenting the issue against the background of the literature of the subject and by conducting an experiment, which involved developing an original procedure of providing simulated market data. The study deals with the market for non-built-up land real estate with a residential function in the city of Olsztyn (Poland). The time range concerned the years 2004–2015. Information on 932 real estate transactions was adopted for the study. A set of additional information on virtual transactions was generated during the study; this information can supplement market data for markets of low activity or if there are information gaps. Geoinformation analyses were performed in order to determine new trends in price levels and spatial activity of a real estate market. Overall, this resulted in generating maps of simulated transaction densities, a map of simulated prices and a map of the probability of a specific price occurring.

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“…Most of the housing stock is therefore between 45 and 30 years old: the age of buildings is one of the main features explaining the poor price dynamic in the area [42][43][44]. There may be more than one reason for the low incidence of the recent and more recent housing.…”

Section: The Case Of Castel Volturno: the Urban Frameworkmentioning

confidence: 99%

“…While, on the other hand, there is a structural weakness in the demand for It is worth noting how the historic building stock is particularly limited as well as the recent and most recent constructions, with a consistency of just over 1%. Most of the housing stock is therefore between 45 and 30 years old: the age of buildings is one of the main features explaining the poor price dynamic in the area [42][43][44].…”

Section: The Case Of Castel Volturno: the Urban Frameworkmentioning

confidence: 99%

Immigration and the Housing Market: The Case of Castel Volturno, in Campania Region, Italy

2018

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According to Eurostat, Italy is the fifth country of the European Union per immigrant population. The complexity of the phenomenon, as it has evolved in recent years, leads to analyzing it from a specific point of view, that of the real estate market. The article represents the early stage of research on the housing condition of the immigrant population in the Southern Italy and its effect on the housing market. First, we describe the spatial segregation phenomenon affecting the immigrant population in Campania Region; then we analyze data of the municipality of Castel Volturno, which has one of the greater migratory pressure throughout the whole region. We provide statistical regressions correlating housing prices and socio-economic features from 2006 to 2016. The results confirm the findings of the current literature on the subject: there is a specific phenomenon associated with the presence of an immigrant population residing in conjunction with a reduction of housing prices.

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Simulation Models to Evaluate the Value Creation of the Grass-Roots Participation in the Enhancement of Public Real-Estate Assets with Evidence from Italy

Cited by 17 publications

References 25 publications

Data from RE distressed market: Properties auctions in Italy

Data from RE distressed market: Properties auctions in Italy

Modelling and Simulation of Selected Real Estate Market Spatial Phenomena

Immigration and the Housing Market: The Case of Castel Volturno, in Campania Region, Italy

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