scholarly journals Evaluation of Influence of the Environment on the Choice of Buildings for Residential Living

2020 ◽  
Vol 12 (12) ◽  
pp. 4901
Author(s):  
Dalibor Bartoněk ◽  
Jiří Bureš ◽  
Otakar Švábenský
Keyword(s):  
Spatial Data ◽  
Energy Savings ◽  
Noise Pollution ◽  
Real Estate Market ◽  
Environmental Data ◽  
Geographical Information ◽  
Pollution Transport ◽  
The Real Estate ◽  
Residential Living ◽  
Group B

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.

Tenants' Satisfaction in High Residential Building

2020 ◽  
Vol 17 (1) ◽  
pp. 41
Author(s):  
UMMU SHOLEHAH MOHD NOR
Keyword(s):  
Urban Areas ◽  
Residential Buildings ◽  
Low Cost ◽  
Residential Building ◽  
Real Estate Market ◽  
The Real Estate ◽  
Level Of Satisfaction ◽  
Considerable Impact ◽  
Residential Living ◽  
Medium Cost

High residential living in Malaysia has not been widely given a significant emphasises in literature despite its increasing scale and significance in the real estate market. The significance of high rise is mainly due the increasing rate of migration from rural to urban. It is estimated a total of 77.2 percent of the Malaysian population lived in urban areas in 2020. Approximately, 30 percent of this urban population lives in strata housing. These percentages are predicted to continue to increase in the future. The emergence of high residential building has been argued as confronting various problems which has considerable impact on this life style. Satisfaction is an important outcome of living in one’s dwelling, although it is not the only consideration. High residential building in Malaysia encountered numerous problems in term of management aspects, legislation aspects, and residents’ satisfaction. The purpose of this paper is to investigate the tenants’ satisfaction living in high residential buildings in Klang Valley. The questionnaires survey is conducted amongst 276 tenants at low cost and medium cost HRB using random sampling in HRB located at areas under jurisdiction Dewan Bandaraya Kuala Lumpur (DBKL), Majlis Bandaraya Subang Jaya (MBSJ), Majlis Bandaraya Shah Alam (MBSA), Majlis Bandaraya Subang Jaya (MBSJ), Majlis Perbandaran Selayang (MPS) and Majlis Perbandaran Ampang Jaya (MPAJ). The result from this study shows that tenant in medium cost residential building are more satisfied in term of facilities and management as compared to tenants in low cost residential building. Tenants also not disclosed to the existing act and procedure related to high residential building. In conclusion, this study suggested the Local Authority to emphasise the role of tenant. These recommendation hopefully will increase the level of satisfaction amongst the residents in HRB.

scholarly journals A GRID-Based Spatial Interpolation Method as a Tool Supporting Real Estate Market Analyses

2020 ◽  
Vol 9 (1) ◽  
pp. 39 ◽  
Author(s):  
Agnieszka Szczepańska ◽  
Dariusz Gościewski ◽  
Małgorzata Gerus-Gościewska
Keyword(s):  
Spatial Distribution ◽  
Real Estate ◽  
Spatial Data ◽  
Interpolation Method ◽  
Real Estate Market ◽  
Grid Structure ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Spatial Interpolation Method

The spatial distribution of prices is closely linked with the urban real estate market. Property prices are one of the key indicators of economic activity because they influence economic decisions. Decision-makers and consumers often need information about the spatial distribution of prices, but spatial-temporal analyses of the real estate market are based on the prices quoted in different locations across years (epochs). Due to this idiosyncrasy, the resulting datasets are dispersed (different across years) and difficult to compare. For this reason, the existing interpolation methods are not always effective in analyses of the real estate market. A different approach to interpolating real estate prices that supports the generation of continuous interpolated surfaces while maintaining the values of measurement points is thus needed. This paper proposes a method for replacing dispersed spatial data with a regular GRID structure. The GRID structure covers the measured object with a regular network of nodes, which supports uniform interpolation at every point of the analyzed space and a comparison of interpolation models in successive epochs (years). The proposed method was tested on a selected object. The results indicate that the GRID structure can be used in analyses of highly complex real estate markets where input data are incomplete, irregular and dispersed.

scholarly journals Identifying local differences with fused-MCP: an apartment rental market case study on geographical segmentation detection

2020 ◽  
Vol 3 (1) ◽  
pp. 183-214 ◽  
Author(s):  
Ryo Inoue ◽  
Rihoko Ishiyama ◽  
Ayako Sugiura
Keyword(s):  
Spatial Autocorrelation ◽  
Spatial Data ◽  
Real Estate Market ◽  
Spatial Analyses ◽  
The Real Estate ◽  
Local Characteristics ◽  
Estimated Parameters ◽  
The Real Estate Market

AbstractAs the variety and quality of spatial data increase in recent times, the potential to analyze local characteristics based on spatial data is getting stronger. Previous spatial analysis methods structuralize the spatial autocorrelation of data by the distances between data observation points and the contiguity of the data-observed regions. It is significant for the estimation of global characteristics of spatial data. However, these approaches are not suitable for identifying local differences from the data since they assume a smooth spatial autocorrelation structure. Generalized fused lasso, which can detect local differences in spatial data, has been proposed in machine learning studies. Its limitation is that the estimated parameters are biased toward zero; however, methods that overcome the limitation have also been proposed. Fused-MCP is one of those methods and is expected to be useful in spatial analyses. This study applies fused-MCP to spatial analyses. As an example of spatial analyses based on fused-MCP, this study analyzes the structure of geographical segmentation of the real estate market in central Tokyo. Fused-MCP is utilized to extract areas where the valuation standard is the same. The results reveal that the geographical segmentation displays hierarchal patterns. Specifically, the market is divided by municipalities, railway lines and stations, and neighborhoods. The case study confirmed the applicability of fused-MCP to spatial analyses.

scholarly journals Grounded Design and GIScience - A framework for informing the design of geographical information systems and spatial data infrastructures

2019 ◽  
Author(s):  
Alexander Kmoch ◽  
Evelyn Uuemaa ◽  
Hermann Klug
Keyword(s):  
Information Systems ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Information Science ◽  
Design Science ◽  
Environmental Data ◽  
Geographical Information ◽  
Data Infrastructure ◽  
Development Framework ◽  
Grounded Design

Geographical Information Science (GIScience), also Geographical Information Science and Systems, is a multi-faceted research discipline and comprises a wide variety of topics. Investigation into data management and interoperability of geographical data and environmental data sets for scientific analysis, visualisation and modelling is an important driver of the Information Science aspect of GIScience, that underpins comprehensive Geographical Information Systems (GIS) and Spatial Data Infrastructure (SDI) research and development. In this article we present the 'Grounded Design' method, a fusion of Design Science Research (DSR) and Grounded Theory (GT), and how they can act as guiding principles to link GIScience, Computer Science and Earth Sciences into a converging GI systems development framework. We explain how this bottom-up research framework can yield holistic and integrated perspectives when designing GIS and SDI systems and software. This would allow GIScience academics, GIS and SDI practitioners alike to reliably draw from interdisciplinary knowledge to consistently design and innovate GI systems.

scholarly journals Real Estate Market Dynamics in the City of Naples: An Integration of a Multi-Criteria Decision Analysis and Geographical Information System

2020 ◽  
Vol 12 (3) ◽  
pp. 1211 ◽  
Author(s):  
Pasquale De Toro ◽  
Francesca Nocca ◽  
Andrea Renna ◽  
Luigi Sepe
Keyword(s):  
Information System ◽  
Real Estate ◽  
Decision Analysis ◽  
Geographical Information System ◽  
Real Estate Market ◽  
Geographical Information ◽  
The Real ◽  
The Real Estate ◽  
Multi Criteria Decision Analysis ◽  
The City

Urban development and regeneration projects produce multidimensional impacts on the city, on its environmental, economic, and social systems. An aspect that can be considerably affected by urban dynamics is linked to the real estate market. So, analysing real estate dynamics is useful to support decision-makers in the elaboration of urban regeneration plans and projects, and thus orient their choices. Focusing attention on the city of Naples (Italy), the purpose of this paper is to analyse in detail the real estate dynamics in this city through the integration of a Multi-Criteria Decision Analysis (MCDA) method and Geographical Information System (GIS). This integration allowed us to map and analyse the territory, linking a specific issue (the real estate dynamics) to the territory itself, and to analyse it according to specific criteria. This aims for a better understanding and interpretation of real estate dynamics, representing a useful tool for orienting and supporting urban planning strategies.

scholarly journals Traffic Noise as a Factor Influencing Apartment Prices in Large Cities

2014 ◽  
Vol 22 (3) ◽  
pp. 37-44 ◽  
Author(s):  
Agnieszka Szczepańska ◽  
Adam Senetra ◽  
Monika Wasilewicz
Keyword(s):  
Real Estate ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Real Estate Market ◽  
Capital City ◽  
Urban Centers ◽  
European Union Policy ◽  
The Real Estate ◽  
Central Eastern Europe

Abstract Environmental factors are among the key determinants of real estate prices. They include landscape attractiveness, land relief, exposure to sunlight and proximity to natural features. In large urban centers, traffic noise emissions significantly affect decision-making on the real estate market. Weakly developed road networks and the absence of ring roads that shift road traffic outside residential districts are a widespread problem in the cities of Central-Eastern Europe. The prevention of traffic noise pollution, one of the key environmental problems in Europe, is an important goal of European Union policy. This paper analyzes the correlations between apartment prices and traffic noise levels in Olsztyn, the capital city of the Warminsko-Mazurskie Voivodeship (province) in north-eastern Poland. A linear correlation analysis was performed, and the distribution of unit prices of apartments was mapped by ordinary kriging.

scholarly journals Grounded Design and GIScience - A framework for informing the design of geographical information systems and spatial data infrastructures

2019 ◽  
Author(s):  
Alexander Kmoch ◽  
Evelyn Uuemaa ◽  
Hermann Klug
Keyword(s):  
Information Systems ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Information Science ◽  
Design Science ◽  
Environmental Data ◽  
Geographical Information ◽  
Data Infrastructure ◽  
Development Framework ◽  
Grounded Design

Geographical Information Science (GIScience), also Geographical Information Science and Systems, is a multi-faceted research discipline and comprises a wide variety of topics. Investigation into data management and interoperability of geographical data and environmental data sets for scientific analysis, visualisation and modelling is an important driver of the Information Science aspect of GIScience, that underpins comprehensive Geographical Information Systems (GIS) and Spatial Data Infrastructure (SDI) research and development. In this article we present the 'Grounded Design' method, a fusion of Design Science Research (DSR) and Grounded Theory (GT), and how they can act as guiding principles to link GIScience, Computer Science and Earth Sciences into a converging GI systems development framework. We explain how this bottom-up research framework can yield holistic and integrated perspectives when designing GIS and SDI systems and software. This would allow GIScience academics, GIS and SDI practitioners alike to reliably draw from interdisciplinary knowledge to consistently design and innovate GI systems.

scholarly journals Cartographic Methods of Presentation the Average Transaction Prices of the Undeveloped Land

2018 ◽  
Vol 28 (2) ◽  
pp. 85-100 ◽  
Author(s):  
Marek Ogryzek ◽  
Mateusz Ciski
Keyword(s):  
Spatial Data ◽  
Selection Process ◽  
Real Estate Market ◽  
Regional Office ◽  
The Real Estate ◽  
Work Related ◽  
Transaction Prices ◽  
The Real Estate Market ◽  
Different Types ◽  
Potential Use

Abstract The article presents a description of basic cartographic methods used to visualize spatial data. Information on average transaction prices of the undeveloped land in Warmińsko-Mazurskie voivodeship, from The Agricultural Property Agency, Regional Office in Olsztyn, was the basis for map creation. Unified data allows the accurate presentation of information and highlights the differences in selected cartographic methods. The objective of this article is to describe the selection process of the best method for presenting spatial data by identifying the data structure and visualization purpose; as well as to describe the different types of data presentation for its potential use for work related to activities performed by professionals dealing with the real estate market and by individuals.

scholarly journals Residential Segregation from the Sixteenth to the Nineteenth Century: Evidence from the Netherlands

2011 ◽  
Vol 42 (3) ◽  
pp. 333-369 ◽  
Author(s):  
Clé Lesger ◽  
Marco H. D. Van Leeuwen
Keyword(s):  
Residential Segregation ◽  
Geographical Information Systems ◽  
Real Estate Market ◽  
Geographical Information ◽  
The Real Estate ◽  
Political Dominance ◽  
The Real Estate Market ◽  
Block Face ◽  
The City

A case study of three early modern Dutch cities (Alkmaar, Delft, and Amsterdam) using geographical information systems and confronting earlier historical, sociological, and geographical models finds clear patterns of segregation below the level of the city block, thus necessitating block-face mapping. The remarkable continuity in patterns of residential segregation is best explained by the workings of the real-estate market, allowing the well-to-do and middle classes to realize their preferences. In Amsterdam, the merchant elites were able to use their political dominance to plan a scenic and expansive residential environment free from noisy and odorous activities.

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