Risk Ranking Governance Mechanism of Short-term Rental Housing Based on an Integral Early Warning Model in the Context of Big Data

Abstract

In the era of big data, sharing economy relies on the rapid development of data analysis and acquisition technology, and it also drives the fast growth of short-term rental housing in the sector of housing. In this process of development, there are many deteriorating management problems, such as infringement of rights, potential fire hazards and disclosure of privacy. The resulting conflicts and disputes, accidents, and the issues of the public safety become more and more serious. In the face of the chaos of the short-term rental housing industry, according to the sample statistics and Internet big data research, this paper plugged up the management loopholes in the short-term rental housing management from the perspective of joint construction, joint governance and shared benefits in the new era. In terms of method, this paper analyzed the data by constructing the integral model, took the safety risk issues existing in the daily operation of short-term rental housing as the index, and established the model of “quantitative integral early warning mode for abnormal problems of short-term rental housing”. Besides, it divided the risk of short-term rental housing into three levels, i.e. medium-low risk, high risk and tremendous risk, and carried out the corresponding risk classification management.