Geostatistical analysis of urban brownfields in Liverpool city

Abstract

A city as a space where interacts socioeconomical, ecological and urban processes meets with complex challenges that are caused by efforts to preserve urban contextuality and by threat of abandoned sites that are calling as brownfields (BF). Experience of Western countries shows that an economical environment and it‘s potential performs as a catalyst processes of BF regeneration to areas of new a funtion. Basically, the potential of economical environmental is a reflection of local and foreign investments. Desicion making in urbanism and in economy examples of recent years shows that in order to implement right desicions the role of Big data is not enough. For this Smart data must be used. Inadequate evaluation causes a wide range of inconviences for citizens in long time perspecitve. Due to similarities in scale, demography, social life and availability of data resources the authors selected Liverpool and Vilnius cities as a targets of the research. These cities are featured by differences in functional zones and historical context. The aim of the research is to determine a potential of conversion of BF by identifying the root differences of urban environment, social life and economy in both cities. The results allow to determine the essential guidelines of territory amd spatial planning for such scale cities as Vilnius or Liverpool. Geostatistical analyzes includes a complex evaluation of indicators of economy, social life and urban environment. Packages of open and developed geostatisical data was used in this research. Geostatistical analysis was implemented by using geographical information system (GIS). By implementing this way of research the authors prepared themical data maps that corresponds to the result of the research and revealed the significance of spatial relationship between BF and social, economical and urban environment. Results of the research will ease complex sustainability development that will address to economical growth.