The goal of this research is to examine the processes of suburbanization and sprawl in two post-socialist capital cities in Southeast Europe -Belgrade, Serbia and Sofia, Bulgaria. Our analysis begins with a survey of relevant historical developments in the two cities, which illustrates the impact of major political, economic and social drivers on urban development processes and form. We follow this with an empirical study aimed at identifying contemporary features of peri-urban processes occurring in the two cities. Specifically, we explore spatial patterns, general population trends and changes in urban densities. Our study confirms earlier observations by other researchers that processes of suburbanization are occurring in Belgrade and Sofia. Yet this research goes further and emphasizes the specific combination of conditions inherited from the era of state socialism and the features of South-east European urban culture. Thus regarding the form of urban expansion, we observe relatively weak trends of sprawl with strong local specifics. On this basis, we discuss our empirical results with the objective of identifying the specifics of studied processes in Belgrade and Sofia as a grounds for the articulation of an appropriate policy framework.
The classification of rural and urban areas presents an important topic both in scientific research and in the practice of spatial planning, regional policy making, and territorial governance. Taking into account the multidimensionality of these areas, this paper aims to provide a classification framework design for rural areas in Serbia. After selecting the relevant indicators, which were included to reflect the main demographic, economic, and physio-geographical characteristics of the Serbian rural areas, multivariate analysis (principal component method and factor analysis) was used to determine the main factors in the delimitation and classification of rural and urban areas. The last step of the conducted methodology used cluster analysis (CA) that identified six types of areas with similar characteristics. The results of this study and applied methodology can improve the existing rural–urban classifications and help planners and policy makers in the adaptation of strategic development documents.
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