Academic literature on the topic 'Real Estate Market.; Spatial analyses; GIS'
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Journal articles on the topic "Real Estate Market.; Spatial analyses; GIS"
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Erdoğan, Saffet, and Abdulkadir Memduhoğlu. "A spatiotemporal exploratory analysis of real estate sales in Turkey using GIS." Journal of European Real Estate Research 12, no. 2 (August 8, 2019): 207–26. http://dx.doi.org/10.1108/jerer-06-2018-0024.
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PurposeThe purpose of this paper is to examine the real estate sales in Turkey on a district basis to reveal the current state of real estate sales and any meaningful changes in the last period. The real estate market is important and is an indicator of the country’s general economic health, as real estate is seen as an investment.Design/methodology/approachAs a powerful method of spatial analysis and evaluation, geographic information systems have been used to examine real estate data in both spatial and temporal ways. In this study, 14 years of sales data covering the years 2004 to 2017 obtained from government agencies on a district basis were evaluated using spatiotemporal methods. Several maps were produced using Getis-Ord Gi* and local Moran’s I indices, which showed the spatiotemporal change of sales and sales rates.FindingsWhen looking at the maps, provinces such as Istanbul, Ankara, Izmir, Antalya and their surrounding districts have buoyant real estate markets compared to the other side of the country. Real estate sales are more stagnant in the eastern and northern parts of the country. In addition, the authors found that the growth rate of annual average real estate sales was approximately seven times higher than the annual average population growth.Originality/valueThis spatiotemporal study, which presents 14 years of performance data of the real estate market and, by extension, the economic situation, also highlights the regions that stand out for investment planning throughout the country. The results of spatiotemporal analysis also present a new way of real estate market visualization using maps with well-designed categorizations.
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Bełej, Mirosław, and Marta Figurska. "3D Modeling of Discontinuity in the Spatial Distribution of Apartment Prices Using Voronoi Diagrams." Remote Sensing 12, no. 2 (January 9, 2020): 229. http://dx.doi.org/10.3390/rs12020229.
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An immanent feature of the housing market is a large spatial dispersion of real estate prices along with their simultaneous high stratification. Application of classic methods of data interpolation results in an excessive simplification of the outcome because of a conversion of the dispersed data sets into areas of spatial continuity by reducing the above-average real estate prices. The main aim of the article was to search for spatial discontinuities of real estate prices’ distribution with 3D modeling using Voronoi diagrams as a method of irregular division of this space. Used methods of geospatial analyses with GIS tools enabled to identify clusters of high housing market activity and to avoid an excessive generalization of data resulting from the reduction of the above-average real estate prices. The research was conducted for over 7000 real estate transactions in years 2010–2017 in Olsztyn, the capital city of Warmia and Mazury in Poland, resulting in a 3D visualization of real estate prices for the chosen market, including the discontinuity in their spatial distribution.
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Zhang, Min Li, and Guo Chao Han. "Application of Spatial Decision Support System in Real Estate Appraisal." Applied Mechanics and Materials 174-177 (May 2012): 3286–90. http://dx.doi.org/10.4028/www.scientific.net/amm.174-177.3286.
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After the economic crisis in 2009, the real estate market has gone through a temporary prosperity, but now it is undergoing the country’s another round of macro control. In order to comply with the national’s implementation of "one-room, one- price" policy and make second-hand housing market standardized. A comprehensive analysis of our country’s real estate prices and the latest development trends is made in this paper, besides; the analysis is based on the real estate evaluation theory. This paper presents a novel real estate estimation method based on spatial decision support system, theoretical analysis and the application of computer technology, this approach is an integration of decision support systems (DSS) and Geographic Information Systems (GIS). Meanwhile, it can make our country’s real estate evaluation more regular and scientifically.
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Bartoněk, Dalibor, and Stanislava Dermeková. "The Permanent Residential Housing: Geographic Information System-Based Evaluation Considering the Legislation." Journal of Computational and Theoretical Nanoscience 14, no. 1 (January 1, 2017): 284–90. http://dx.doi.org/10.1166/jctn.2017.6318.
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The paper deals with the conception of multi-criteria analysis geographic information system (GIS). The set of criteria has great influence on the whole project in GIS. This fact is described in chapter “materials and methods” where a new model is discussed. In these model is included influence of legislative which restrict the set of criteria. The selected criteria have also determine the input dataset. It leads to proper and optimal selecting of set of input data in GIS. The advantage is the optimization of input data and selects the best variant in combination with strategies in spatial decision making. The article proposes the evaluation process which is user oriented and consists of several multi-criteria methods. In this paper the authors proposed a mathematical model which includes input data containing hypothesis of the stakeholders (input criteria) and output data representing proposed variants for different solutions. Experimental results are focused on GIS based evaluation of permanent residential housing. As main method of multi-criterial analysis is used sensitive analysis. A team of experts and stakeholders sett importance of the various criteria and thus determine the values of weights for their quantification. These parameters are determined in the model as the main criteria for strategic planning in the real estate engineering. The weights are also numerically quantified using different methods of decision theory. Selected and restricted criteria (by legislative) determine the set of spatial analytical functions. Spatial analyses create an important part of this method. Spatial analyses serve as an attractive cartographic presentation of the project to users appearing in the real estate market using static and of interactive maps. Graphically and numerically multi-criteria analyses are presented as the final result which report analyzing the effectiveness of various factors. These factors affect the real estate market and the price of real estate. From an economic point of view, it is possible to determine these factors by the supply and demand for a particular type of property. The proposed method is a new approach to comprehensive evaluation criteria for the purposes of the real estate market. The existing MCDA methods are integrated into one unit and evaluated through an optimal variant.
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Cichociński, Piotr, and Janusz Dąbrowski. "Spatio-Temporal Analysis of the Real Estate Market Using Geographic Information Systems." Real Estate Management and Valuation 21, no. 2 (June 1, 2013): 72–82. http://dx.doi.org/10.2478/remav-2013-0019.
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Abstract The paper proposes the use of geographic information system tools for the analysis of spatial and temporal aspects of the real estate market. In particular, it focuses on the graphical presentation of the spatial distribution of price and its variability over time. The possibility of presenting an image of the spatial distribution of prices in the form of a 3D model is studied. A topographic surface is proposed as an alternative to traditional methods of spatial interpolation. Visual verification and numerical comparison have shown its superiority over other previously used methods. The best method of presenting four-dimensional data - the variation in time of the spatial distribution of house prices - was sought. The possibility of taking time into account as one of the attributes of the analyzed and presented objects, available in advanced GIS software, was used for this purpose. The undertaken activities were based on formal guidelines for the registration of time set out in the ISO 19100 series of standards dedicated to geographic information. Potential sources of data for this kind of analysis were identified and their availability was examined. The paper also presents how to build a spatial database on the basis of the available information, which is a starting material for further analysis. The carried out research demonstrated the benefits of the spatial approach to trends of changes in real estate prices, which can be used, among others, for mass appraisal.
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COROIAN, Iulia, Mircea Emil NAP, Ioana Delia POP, Florica MATEI, Tudor SĂLĂGEAN, Jutka DEAK, Silvia CHIOREAN, Elemer Emanuel ȘUBA, Ioan LUPUȚ, and Diana FICIOR. "Using GIS Analysis to Assess Urban Green Space in Terms of Real Estate Development." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Horticulture 78, no. 1 (May 14, 2021): 36. http://dx.doi.org/10.15835/buasvmcn-hort:2020.0061.
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Urban green spaces (UGS) contribute to the development of the ecosystem, especially in crowded urban areas such as cooling effect, air and noise pollution mitigation, recreation, aesthetic pleasure, quality of life and public health, as well as economic benefits, such as raising the price of the real state in the vicinity of UGS. The aim of the paper is to realize a study on green spaces and an urban distribution of the size of a systematic planning of functional and aesthetic qualities. This study examines the distribution and amount of green space, as well as the size and rates per capita are assessed. Even the distribution of distance and the accessibility of green areas throughout the city are closely linked to ensuring recreational needs. Spatial statistics using GIS have made possible the development of correct, coherent explanatory UGS variables such as distance, size, density, connectivity, sight and accessibility. The parks and all green spaces composed of polygons were digitized from the ArcGIS Attribute Table for the evaluation of per capita rates and the execution of a plan to combat the deficit of green spaces. In order to make an assessment of the green spaces, a comparative study of the area of interest from 2010 and 2020 was considered. According to the spatial analyses from ArcGis, during the 10 years, an intense real estate market was developed, affecting the distribution of green spaces per capita.
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Chen, Shaopei, Dachang Zhuang, and Huixia Zhang. "GIS-Based Spatial Autocorrelation Analysis of Housing Prices Oriented towards a View of Spatiotemporal Homogeneity and Nonstationarity: A Case Study of Guangzhou, China." Complexity 2020 (April 23, 2020): 1–16. http://dx.doi.org/10.1155/2020/1079024.
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In the past decades, the booming growth of housing markets in China triggers the urgent need to explore how the rapid urban spatial expansion, large-scale urban infrastructural development, and fast-changing urban planning determine the housing price changes and spatial differentiation. It is of great significance to promote the existing governing policy and mechanism of housing market and the reform of real-estate system. At the level of city, an empirical analysis is implemented with the traditional econometric models of regressive analysis and GIS-based spatial autocorrelation models, focusing in examining and characterizing the spatial homogeneity and nonstationarity of housing prices in Guangzhou, China. There are 141 neigborhoods in Guangzhou identified as the independent individuals (named as area units), and their values of the average annual housing prices (AAHP) in (2009–2015) are clarified as the dependent variables in regressing analysis models used in this paper. Simultaneously, the factors including geographical location, transportation accessibility, commercial service intensity, and public service intensity are identified as independent variables in the context of urban development and planning. The integration and comparative analysis of multiple linear regression models, spatial autocorrelation models, and geographically weighted regressing (GWR) models are implemented, focusing on exploring the influencing factors of house prices, especially characterizing the spatial heterogeneity and nonstationarity of housing prices oriented towards the spatial differences of urban spatial development, infrastructure layout, land use, and planning. This has the potential to enrich the current approaches to the complex quantitative analysis modelling of housing prices. Particularly, it is favorable to examine and characterize what and how to determine the spatial homogeneity and nonstationarity of housing prices oriented towards a microscale geospatial perspective. Therefore, this study should be significant to drive essential changes to develop a more efficient, sustainable, and competitive real-estate system at the level of city, especially for the emerging and dynamic housing markets in the megacities in China.
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Bartoněk, Dalibor, Jiří Bureš, and Otakar Švábenský. "Evaluation of Influence of the Environment on the Choice of Buildings for Residential Living." Sustainability 12, no. 12 (June 16, 2020): 4901. http://dx.doi.org/10.3390/su12124901.
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In the CR (Czech Republic), there are a lot of prefabricated housing estates built in the 70s and 80s of the 20th century, which are at the end of their life cycle. The main goal of the project was to evaluate the rate of energy savings in the long term due to the revitalization of prefabricated apartment buildings, and thus provide feedback to the relevant authorities on its effectiveness. Another goal was to evaluate selected parameters of living comfort in the locality for the purposes of the real estate market with the possibility of providing them to those interested in living in the locality. A complex of methods was used, which evaluate criteria from various spheres, such as environment, spatial relationships, social aspects, etc. The authors used a combination of multi-criterial analysis methods (MCA) and spatial analysis within a Geographical Information System (GIS). Of all MCA methods, weighted linear combination (WLC) was chosen as the most suitable. In the spatial analyses, the matter of solution was, above all, the distance to the center and the transport within the given locality. The above-mentioned methods served as a model for evaluating whether a panel house in question is or is not suitable for reconstruction. The input data of the model are spatial data—national map series of the CR, environmental data (noise maps, energy demands of buildings)—and statistical data obtained from various sources (city administration of Brno, relevant organizations, and interviews with respondents). Within Inquiry Form 3, potential groups of respondents were addressed: Group A—people over fifty, group B—young families with children, group C—students under 25. The projected model was tested in Brno city in the locality of Nový Lískovec (CR). The proposed model provided information on the quality of housing in a given locality in terms of energy intensity, noise pollution, transport accessibility, and civic amenities. The output is a multi-criteria model with GIS support, which is generally applicable. The results of the model analyses led to the demonstration of the effectiveness of revitalization. The results can be used for estate offices or other organizations in the form of graphical outputs of appropriate variants on the basis of solving a lot of criteria when searching for a suitable residence.
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Adebayo, Adejimi Alli, Paul Greenhalgh, and Kevin Muldoon-Smith. "Investigating retail property market dynamics through spatial accessibility measures." Journal of European Real Estate Research 12, no. 2 (August 8, 2019): 155–72. http://dx.doi.org/10.1108/jerer-01-2018-0009.
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Purpose The retail property market is constantly adopting to the continuous demand of retailers and their consumers. This paper aims to investigate retail property market dynamics through spatial accessibility measures of the City of York street network. It explores how spatial accessibility metrics (SAM) explain retail market dynamics (RMD) through changes in the city’s retail rental values and stock. Design/methodology/approach Valuation office agency (VOA) data sets (aspatial) and ordnance survey map (spatial) data form the empirical foundation for this investigation. Changes in rental value and retail stock between 2010 and 2017 VOA data sets represent the RMD variables. While, the configured street network measures of Space Syntax, namely, global integration, local integration, global choice and normalised angular choice form the SAM variables. The relationship between these variables is analysed through geo-visualisation and statistical testing using GIS and SPSS tools. Findings The study reveals that there has been an overall negative changes of 15 and 22% in rental value and retail stock, respectively, even though some locations within the sampled city (York, North Yorkshire, England) indicated positive changes. The study further indicated that changes in retail rental value and stock have occurred within locations with good accessibility index. It also verifies that there are spatial and statistical relationship between variables and 22% of RMD variability was jointly accounted for by SAM. Originality/value This research is first to investigates changes in retail property market variables through spatial accessibility measures of space syntax. It contributes to the burgeoning research field of real estate and Space Syntax.
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Chilton, Ken, Robert Silverman, Rabia Chaudhrey, and Chihaungji Wang. "The Impact of Single-Family Rental REITs on Regional Housing Markets: A Case Study of Nashville, TN." Societies 8, no. 4 (September 20, 2018): 93. http://dx.doi.org/10.3390/soc8040093.
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The U.S. Congress authorized the creation of real estate investment trusts (REITs) in 1960 so companies could develop publically traded real estate investment portfolios. REITs focus on commercial property, retail property, and rental property. During the last decade, REITs became more active in regional housing markets across the U.S. Single-family rental (SFR) REITs have grown tremendously, buying up residential properties across the country. In some regional housing markets, SFR REITs own noticeable shares of single-family homes. In those settings, SFR REITs take large numbers of housing units off of real estate markets where homeownership transactions occur and manage these properties as part of commercial rental inventories. This has resulted in a new category of multiple property owners, composed of institutional investors as opposed to individual investors, which further exacerbates property wealth concentration and polarization. This study examines the socio–spatial distribution of properties in SFR REIT portfolios to determine if SFR REIT properties tend to cluster in distinct areas. This study will focus on the regional housing market in Nashville, TN. Nashville has one of the most active SFR REIT sectors in the country. County tax assessor records were used to identify SFR REIT properties. These data were joined with U.S. Census data to create a profile of communities. The data were analyzed using SPSS statistical software and GIS software. Our analysis suggests that neighborhoods with clusters of SFR REITs fit the SFR REIT business model. Clusters occur in communities with newer homes, residents with higher levels of educational attainment, and middle to upper-middle incomes. The paper concludes with several recommendations for future research on SFR REITs.
Dissertations / Theses on the topic "Real Estate Market.; Spatial analyses; GIS"
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Viktorová, Stanislava. "Aplikace prostorových analýz pomocí technologie GIS pro účely trhu s nemovitostmi." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-232614.
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The master's thesis deals with possibilities for using of spatial analyses for purposes of the real estate market in using geographic information system. The focus of this thesis is on the issues for the search of appropriate documents for project development in GIS and data processing. For the definition of functional spatial analyses are followed criteria of the property location, building location, transportation accessibility, availability of services, physical and geographical parameters, positive and negative effects of the environment, restrictions on use. GIS project is presented as an interactive map containing the input data and the individual spatial analyses which describe the analyzed factors or criteria affecting the real estate market. The results of analyses represent the advantage possibilities of using GIS for dealing with appropriate of practical use for the purpose of the real estate market.
Conference papers on the topic "Real Estate Market.; Spatial analyses; GIS"
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Renigier-Biłozor, Małgorzata, and Andrzej Biłozor. "Comparative Analysis of Urban Condition the Residential Market Area with the Use of GIS Tools." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.117.
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Analysis of the significance of structural and spatial similarities aims to identify homogeneous categories of real estate markets on the basis of the urban features of the area. Real estate markets play an increasingly important role in the global economy and investment, which is why the reliable view of residential market area became an essential tool in the process of investment planning. The positions of particular cities that will be developed by themselves according to established criteria can be crucial when choosing an investment location, and can affect the range of influence of the central site for the entire region. The aim of the research is to conduct the comparative analysis of the condition of residential market area in relation to their urban features. The social, spatial, economic and residential factors will be analysed taking into consideration their exogenous structure. The assessments of coherence and diversification of esidential markets similarities in terms of their mutual location will be shown in the article. The developed methodology will be presented on the example of the largest residential markets centers in Poland. Due to the dynamic and complex nature of the information related to real estate (in various residential regions), and increase the objectivity of the results, the assumptions of data mining analysis and GiS tools will be used.
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Gross, Marta, and Ryszard Zróbek. "A Case Study of Public Real Estate Management in Chosen Countries." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.195.
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Real estate management is a system. It consists of relations, procedures and processes occurring between entities and subjects at real estate market. It is helpful in proper decision-making based on information about the entities (and their needs) and the state of a property. Real estate management is different in various countries. The case study research was carried out on three chosen public real estate management systems: German, Polish and Swiss. The paper presents some basic information about public real estate management in analysed countries. The authors conducted an analysis of the systems using some indicators and geo-spatial analysis which was performed with use of GIS tools. It gives the opportunity to estimate and show differences and similarities between analysed systems. The paper shows that there is a possibility to use some international indicators to compare public real estate management systems. So there is still a need to improve these systems more and more.