Analysis of Spatial and Temporal Differences in China’s Provincial Tourism Economy Based on Parallel Data Model and IoT Applications

Abstract

From a temporal perspective, this paper examines the scale, current development, business versatility, and overall work effects of regional the movement business work, taking into account the three-level proportions of the degree of the movement business in the context of the common Internet of Things. From a spatial standpoint, we recognize the adjacent city as the primary investigative unit, take on various markers, and lead an extensive assessment of the territorial improvement of the provincial travel industry work through even and vertical correlations. This paper utilizes numerous direct relapse examinations to set up the connection between the advancement level of the district of the travel industry economy and the impacting factors; arranged by size of impact, they are the travel industry asset gift, area traffic conditions, and monetary turn of events. Utilizing a blend of a solitary pointer and various markers, the area of the travel industry economy is assessed and dissected for contrasts in existence. We select the absolute travel industry income as a pointer and use strategies like reach. To assess the time difference of the movement of the business economy in each location, standard deviation, coefficient of assortment, and coefficient were used. To examine the data, we use the Granger causality test and several methodology components influencing the travel industry work nearby and the development mode. Through the foundation of a primary model of the travel industry work development element framework, causality test and different strategies are taken on to examine the provincial travel industry business affecting variables and development techniques, and the outcomes show that the local travel industry business development mode is a speculation driven the travel industry work development mode.