New Approaches or Technologies in Decision-Making Procedures Related to Urban Areas

Dear Colleagues,

The rapidly expanding urban areas of the world constitute challenge for the 21st century that requires both new analytic approaches as well as new sources of data and information. Modern management of urban areas is to be considered from many aspects, where one of them is access to the tailor-made information within smart cities systems.

Properties are principal components of the urban environment. Sooner or later, everyone has contact with properties that are a place for life, work, investment and relaxation. For this reason, properties are part of many decision-making systems related to valuation, taxes, land planning and sustainable development of the areas. However, due to the complex specificity of properties (many functions, influenced by many unstable and stagnant features, unspecified relations and strong behavioral impact), these are very difficult/troublesome components of decision-support systems. For this reason, information technology is increasingly being utilized in this field .

The aim of this Special Issue is to propose new tools and approaches for better understanding the urban space and increase the quality of information related to property decision making.

Decision-making systems or procedures fed with property information are based on different methods and models. One of them is based on geostatistical analysis, which additionally takes into account property geographic location or uses geographic information systems (GIS). Another approach that is currently even more dominant involves artificial-intelligence-based methods, data mining and machine learning, virtual reality, and advanced algorithms in the framework of GeoComputation. Even though public authorities in many countries are responsible for running public property information registers, the information they provide in terms of property analysis seems inadequate or incomplete. The problem of insufficient property data or unavailable information on the property market increases uncertainty in the analysis.

• Smart technologies and cities;
• Urban decision-support systems;
• Property information collection, description, significance;
• Application of new technologies;
• Valuation, taxes, land planning and sustainable development;
• Behavioral economy;
• Socio-economic geography.

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• property market analyses
• decision-support systems
• new technologies application
• behavioral components
• current trends
• urban areas
• smart cities