Research on Space-Time and Network Characteristics of Interprovincial Passenger Flow during the 2019 Spring Festival Transportation

To build the Spring Festival travel OD matrix of the Spring Festival of 2019 based on Baidu's inter-provincial migration data, China's inter-provincial passenger travel time and space features, the network passenger flow, and the characteristics of inter-provincial travel in different periods of Spring Festival travel in different provinces are analyzed by indicators, such as the volume of inter-provincial travel, inter-provincial migration, inter-provincial migration and net migration, the horizontal contrast of the characteristics of inter-provincial travel scale of 34 provincial administrative units across the country. The research conclusions are as follows. The inter-provincial travel of tourists has significant regular characteristics before and after the Spring Festival. The scale and time distribution characteristics of the rework flow before and after the Spring Festival can be used as an important basis for studying the social and economic activity levels based on the Spring Festival travel rush; 15 provinces with net inflow and 19 provinces with net outflow were identified. Among them, 10 provinces, such as Yunnan and Gansu, had average daily net inflows/outflows of less than 3000 people, which were relatively balanced. The 40-day Spring Festival travel period is divided into five periods according to the law of inter-provincial passenger flow. Different periods have different characteristics of passenger travel scale, providing a basis for the prediction of passenger flow and transportation capacity organization. Ten popular lines of inter-provincial travel before and after the festival were identified, indicating that the inter-provincial travel of Spring Festival passengers has an obvious spatial directivity, and the start and end of travel before and after the Spring Festival, the outflow city from the beginning or end of travel, and the inflow of the source city present a symmetric relationship. The analysis of Guangdong, Anhui, and other provinces with a large population mobility shows that they have the closest relationship with the travel of surrounding provinces, and the surrounding provinces with the top three inter-provincial trips account for more than 50% of the inter-provincial trips.