Prethodno priopćenje
Preliminary identification of residential environment assessment indicators for sustainable modelling of urban areas
Tomáš Hanák
orcid.org/0000-0002-7820-6848
; Institute of Structural Economics and Management, Faculty of Civil Engineering, Brno University of Technology, Veveøí 95, 60200 Brno, CZECH REPUBLIC
Ivan Marović
; University of Rijeka, Radmile Matejčić 3, HR-51000 Rijeka, CROATIA
Strahinja Pavlović
; Faculty of Civil Engineering, University of Montenegro, George Washington Road b.b., 81000 Podgorica, MONTENEGRO
Sažetak
Increasing population density in urban areas is closely followed by a number of negative aspects, which can significantly affect the quality of housing, as well as its sustainability. The aim of this paper is to identify the most important indicators influencing the quality of residential environment, and to give information for sustainable decision-making and modelling of urban areas. To know the significance of certain indicators presents a very important element in planning and decision making process. This gives the decision-maker an insight into elements
to which a proper attention should be given during urban area management. Using a web-based questionnaire, as well as personal questioning, the data for three cities: Brno (Czech Republic), Rijeka (Croatia), and Podgorica (Montenegro) were collected, analyzed, and compared. Results of the performed statistical analysis show that
differences among the examined cities exist, and that among indicators, several can be considered very similar, while others differ significantly. The indicators were categorized in three groups (key, important, and marginal) according to their given importance. The conducted research gives a preliminary insight into the population's perception of the importance of indicators, which is established as a necessary element of the sustainable decision-making process in urban area management.
Ključne riječi
residential environment; housing; urban area; indicators; quality of life; comparative study; decision support; sustainable modelling
Hrčak ID:
185747
URI
Datum izdavanja:
18.6.2014.
Posjeta: 763 *