Perception of Urban Public Safety of Floating Population with Higher Education Background: Evidence from Urban China

The Corona Virus Disease 2019 (COVID-19) outbreak caused people to pay significant attention to urban public safety issues. The city’s public safety is an important part of the high-quality development and the construction of a liveable city. To understand whether and how factors at different levels affect the public security of particular group of people in a city. This study uses data from an extensive questionnaire survey by the Ministry of Housing and Urban-Rural Development of the People’s Republic of China (MOHURD) in 11 cities. This study uses the descriptive statistical method and Hierarchical Linear Model (HLM) to study the perception of urban public safety (PUPS) and its influencing factors of floating population with higher education background (FPHEB) from the three levels of city–district–individual. The study finds that (1) when FPHEB is placed in a district and a city at the same time, the influence of the city on PUPS is greater than that of the district; (2) the urban’s infrastructure security and economic development security positively affect the floating population; (3) the GDP and the number of stadiums and hospitals of the district are significantly positively correlated with the PUPS of the FPHEB, whereas the increase of population density and road density have negative effects; (4) FPHEB with distinct attributes will make their PUPS also different. This study is not only a reflection on the construction of urban public security after the COVID-19 outbreak but can also be used as a theoretical reference for the government in constructing urban public security. This study also enriches the research on the floating population and makes good scientific suggestions for the city’s PUPS of the FPHEB. The research results can provide a better reference for the government’s urban safety construction from the perspective of residents’ perception.

Urban Public Safety Risk Assessment of 35 Cities in China Based on Context-Dependent DEA Approach And DEASort

Urban public safety is the foundation of the urban development. Correct and reasonable assessment of urban public safety plays a vital role in the healthy development of cities. This paper establishes a context-dependent DEA model to divide 35 cities of China into three levels, and considers improved value of the low-level when different contexts are used as reference backgrounds. Then use the idea of DEASort proposed by Alessio Ishizaka to prioritize the high level in combination with the index weights in the Public Safety Blue Book: China Urban Public Safety Development Report (2016-2017). The research shows that there is a significant stepwise difference in urban public safety of China: the public security situation in the eastern cities is relatively optimistic; the levels in the northeastern cities are basically the same, and there is still room for improvement; the central cities are stratified, some cities are relatively good, and some cities have larger improve space; there are major hidden dangers in the public security problems in western cities.

Urban Power Supply System Risk Assessment

Urban power supply system has close relationship with urban public safety. The main risk factors, accident types and the risk degree of failures or accidents in urban power supply system are analyzed. And, it has established the public safety risk assessment system of urban power supply system. In order to show that the assessment system has good applicability in the risk assessment of urban power supply system, the power supply system safety of one urban is assessed using established risk assessment system.