Geografie 2016, 121, 1-31

https://doi.org/10.37040/geografie2016121010001

A multi-factor model developed on residents’ opinions for the classification of urban residential areas

Péter Gyenizse1, András Trócsányi1, Gábor Pirisi1, Zita Bognár2, Szabolcs Czigány1

1University of Pécs, Faculty of Sciences, Institute of Geography, Hungary
2University of Pécs, Faculty of Sciences, Doctoral School of Earth Sciences, Hungary

Received February 2015
Accepted November 2015

The process of social differentiation in post-communist states has had a clear impact on the status of neighbourhoods. Municipalities have tried to handle the problem, but planning in Hungary is still based on shallow analyses. This paper presents a method for examining and quantifying prevailing factors of residential areas, also being able of a spatial comparison. It detects problematic issues and locations and assists in the formulation of solutions. The model city for the presented study was Szeged, located in southeastern Hungary. Szeged is the economic center of the region and it was an ideal urban area for the evaluation of housing needs and for the mapping of various objects and social services. A field-collected qualitative database was processed using the Idrisi Selva GIS program, resulting in a classifying map of investigated areas. We have localized the properties of the lowest score and also determined the major issues responsible for low scores by analysing the spatial data of 27 GIS layers. The model can be used to detect the reasons causing differences in the perception of neighbourhoods, while it may serve as a tool for decision makers.

Funding

This paper was supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences.

References

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