The major Lithuanian cities are experiencing a rapid growth of their suburbs. This process is under the surveillance for more than 40 years and is difficult to be controlled. Regional territorial distribution is constituted by cities and rural settlements. The sustainable development of the region depends on interaction between these two different systems. A rapid growth of the suburbs has highlighted the disparities in regional hierarchical network of suburban rural settlements. Growing suburbanization of the cities moves citizens into the neighbour peripheral rural settlements and creates a cohesive hierarchical network of peripheral settlements in the metropolitan district. The authors of the paper are interested in a qualitative future development of peripheral rural settlements in districts of the major cities. The previous authors' research has shown that the difference between real positive indicators values of settlements, which are usually used in Lithuania by planners to characterise the residential quality of suburban settlement and treat future development of this settlement, frequently differs from the city' s residents choice to live in such an interpretive suburban residential quality. The aim of this paper is to bring together the results of authors' other research deliverables ((1) the identification of subjective and objective indicators of suburban residential environment; (2) creation of conceptual model of subjectively and objectively integrated quality indicators assessment of the suburban residential environment) designed to create a picture of the peripheral future of the major Lithuanian cities (Vilnius, Kaunas, Klaipėda) and discuss them in different scenarios, drawing out implications for metropolitan districts' hierarchical network of rural settlements. The creation of scenarios will be performed under the multiple criteria methods.
Lazauskaite, D., Šarkiene, E., & Skripkiene, R. (2015). The Assessment of Development Scenarios for Suburban Metropolitan Districts under the Multiple Criteria Methods. In Procedia Engineering (Vol. 122, pp. 19–28). Elsevier Ltd. https://doi.org/10.1016/j.proeng.2015.10.003