Analysis of the spatio-temporal characteristics of intercity travel based on SVD and complex network: take Bohai Rim City Group as an example

Abstract

Baidu Migration Data is a massive location service data developed by Baidu, and it is also a product of the smart city industry in the era of intelligent networking. Based on the big data of Baidu's migration during the National Day in 2021, the inter-city travel spatiotemporal OD matrix and the overall inter-city travel network of the Bohai Rim city group are constructed. Through the spatiotemporal feature extraction method of singular value decomposition, three main National Day intercity travel patterns are identified from the constructed spatiotemporal OD matrix, and the pattern analysis is carried out from the perspective of time and space. From the perspective of complex network theory, explore the spatial structure characteristics of the National Day intercity travel network through the judgment of the characteristics of the small world, the exploration of urban agglomerations, and the analysis of urban centrality. Research shows: 1) During the National Day, intercity travel consists of three modes: National Day overall travel, staggering travel in some areas, and post-holiday return travel. It has observable time-varying characteristics of the three stages as departure, journey and return. 2) Intercity travel has the spatial flow law of short-distance travel from large cities to neighboring prefecture-level cities, and divergence from populated cities and back from tourist cities. 3)The structure of the intercity travel network is stable with obvious small-world characteristics, and a "core-periphery" radial structure has been formed with the main administrative regions taken as the core. 4)Three economic zones of Beijing-Tianjin-Hebei, south central peninsula of Liaoning and Shandong peninsula in the Bohai Rim City Group are extremely closely connected. 5)Cities with high administrative levels, developed economy, and densely populated cities in the intercity travel network are more central and have huge travel demands.