Smart Land Use in Facet of Safety: An Innovative Approach to Urban Planning

The paper is aimed at identification of the most vulnerable-to-crime land uses and their permutations in Vilnius city, the capital of Lithuania, in accordance with both different types of crime and crime as a whole. The findings are based on the analysis of 30527 incidents of anti-social behavior along 17 types of crime, 14 types of land uses and their permutations, and 676 streets. Thus, the paper steps well beyond the frameworks, typical to the related previous research, and contributes to the reduction of the gap between theoretical insights and empirical evidence. The data became subject to k-means cluster analysis, descriptive statistical analysis and qualitative comparative analysis. Ad finem, the findings reveal significant patterns, which had long been shaded before, and recommendations are provided, thus enlivening innovative urban planning and the emergence of smart cities.