Crisis management in construction and real estate: Conceptual modeling at the micro-, meso- and macro-levels

Kaklauskas, Artūras; Kelpšienė, Loreta; Zavadskas, Edmundas K.; Bardauskienė, Dalia; Kaklauskas, Gintaris; Urbonas, M.; Sorakas, V.

doi:10.1016/j.landusepol.2010.06.008

Cited by 61 publications

(35 citation statements)

References 54 publications

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“…In order to minimize risk and facilitate the process, various kinds of systems supporting decision-making processes are recommended. The typical components of systems supporting decision-making with the use of data mining techniques (Hand et al 2005;Słowiński 1992;Zavadskas, Turskis 2011;Kaklauskas et al 2011) consist in: a model, a structural formula of a database, scoring functions of the adjustment of a model to reality, a choice and optimization of an analytical method used in data exploration, a strategy of data management in their availability and updates. The consideration of the general condition of a spatial unit (the real estate market) is increasingly discussed in theoretical and practical aspects.…”

Section: Methodology Of the Researchmentioning

confidence: 99%

Comparative Analysis of Urban Condition the Residential Market Area with the Use of GIS Tools

Biłozor

Renigier‐Biłozor

2017

Proccedings of 10th International Conference "Environmental Engineering"

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Abstract. 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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Section: Methodology Of the Researchmentioning

confidence: 99%

Comparative Analysis of Urban Condition the Residential Market Area with the Use of GIS Tools

Biłozor

Renigier‐Biłozor

2017

Proccedings of 10th International Conference "Environmental Engineering"

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“…Although recent year have witnessed the growing popularity of various support systems, comprehensive and effective information systems that facilitate the real estate market continue to be in short supply. The scarcity of relevant information and objective knowledge results from the shortcomings of market effectiveness analyses (Case and Shiller, 1989;Fama, 1990;Kaklauskas et al, 2011;Renigier-Biłozor andWiśniewski 2012, Bilozor, 2014;Stec et. al.…”

Section: Relevant Literature -The Need For Property Market Ratingmentioning

confidence: 99%

Modern classification system of real estate markets

Renigier-Biłozo¹

2017

geod. vestn.

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“…The hierarchical structures of key criteria and features of BREEAM Offices are by levels of Issues, Categories and Criteria. The top level contains ten distinct issues (the maximum number of obtainable credits appears in parentheses): Management (22), Health & Well-being (14), Energy (30), Transport (9), Water (9), Materials (12), Waste (7), Land Use & Ecology (12), Pollution (13), Innovation (10). The second level includes 69 categories and the third level -114 criteria.…”

Section: Introductionmentioning

confidence: 99%

Degree of Project Utility and Investment Value Assessments

Kaklauskas

2016

INT J COMPUT COMMUN

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This article recommends a new INVAR Method for a multiple criteria analysis (Degree of Project Utility and Investment Value Assessments along with Recommendation Provisions). Its use can be for a sustainable building assessment. The INVAR Method can additionally assist in determining the investment value of a project under deliberation and provide digital recommendations for improving projects. Furthermore, the INVAR Method can optimize the selected criterion seeking that the project under deliberation would be equally competitive in the market, as compared to the other projects under comparison. The INVAR Method is additionally able to calculate the value that the project under deliberation should be for this project to become the best among those under deliberation. The case studies presented in this research are for demonstrating this developed method.

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Crisis management in construction and real estate: Conceptual modeling at the micro-, meso- and macro-levels

Cited by 61 publications

References 54 publications

Comparative Analysis of Urban Condition the Residential Market Area with the Use of GIS Tools

Comparative Analysis of Urban Condition the Residential Market Area with the Use of GIS Tools

Modern classification system of real estate markets

Degree of Project Utility and Investment Value Assessments

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