Progress and prospect of research on supply-demand matching of urban residential services under the influence of smart technologies

Abstract

The popularization and application of smart technologies such as mobile Internet, Internet of Things, and cloud computing continuously change the matching relationship between supply and demand of urban residential services, having an impact on the efficiency and fairness of the spatial and temporal allocation of urban residential resources. The development of smart technologies also has a reconstruction effect on the spatial layout of urban residential facilities. This study first examined the research progress of the supply-demand relationship of urban residential services under the influence of smart technology application, and put forward a theoretical analysis framework of the supply-demand matching of urban residential services based on the perspective of the human-environment coordinated development in the information era, and the association between virtual and physical spaces. Then, the research prospect is outlined with four aspects. First, we should focus on the matching relationship between supply and demand of urban residential services, under the application of smart technologies, and analyze the characteristics of residents' demand for various online services. Meanwhile, we should examine the supply-demand matching process of residential services and their spatiotemporal interaction model under the application of smart technologies. Second, the mechanism of influence of supply-demand matching could be explored from four dimensions, including service quality and perception, traffic and residents' travel, use of time, and individual social connection. Third, we need to explore the function, spatial layout, and land use changes of urban residential service facilities brought about by the application of smart technologies, and propose new models for urban residential service facility location choice and land use. Finally, towards the development of smart cities in the future, we should propose different configuration strategies of urban residential services according to the differences of urban spaces and facility types. This study has theoretical significance and practical value for the improvement of public service resource allocation efficiency and spatial layout optimization in the development of future smart city.