Research Character Analyzation of Urban Security Based on Urban Resilience Using Big Data Method

Abstract

Contemporary urban development faces many uncertainties and complexities. Resilience research based on big data method provides new ideas for improving urban security. This paper analyzes the research on foreign urban security considering resilience from 1993 to 2018 with Citespace software. The big data algorithm provided by Citespace proves that the urban resilience research can be characterized by three aspects. Firstly, urban resilience and climate change adaptation are mostly at the national scale and regional scale, and there are few studies on community scale and family scale. In the future, the community scale should be emphasized to improve the research accuracy. Secondly, the urban resilience governance model and social dynamic mechanism should be based on the Chinese institutional background and localized and embodied and be socially fair. The combination of public participation, system resilience, economic resilience, and social resilience can still be further improved. Lastly, research can focus on interdisciplinary integration with geography, economics and sociology, considering big data and smart cities. The research scale should strengthen the comparative study of community scales.