Grey Systems Theory as an Effective Method for Analyzing Scarce, Incomplete and Uncertain Data on the Example of a Survey of Public Perceptions of Safety in Urban Spaces

Many processes and phenomena that occur in the natural social environment have a complex character, interdependencies between economic are most often analyzed by identifying relationships multiple factors shape urban space. Decisions concerning visual attributes of cities usually made planners civil officers, whereas preferences rarely considered planning process. The latest research indicates should account for needs expectations local residents who users public spaces cities. This paper discusses results selected studies investigating impact geospatial on perceptions safety areas. theories used to improve methods analyzing spatial data were presented. brainstorming, heuristic technique solving problems. ranked survey performed an accidental (convenience) sample. In this study, Grey Relational Analysis (GRA), type Systems Theory (GST) which supports use incomplete, uncertain scarce data, was applied. advantages grey systems over statistical analyses system generate sequences significant indicate exert greatest influence examined phenomenon. can be solve practical problems related shaping