打印

作者

Xiaoqian Hu;Chao Wang;Junjie Wu;H. Eugene Stanley

来源

CITIES,Vol.99,Issue1,Article 102625

语言

英文

关键字

Interurban network;Multiplex network;Information flows;Population mobility

作者单位

School of Economics and Management, Beihang University, Beijing, China;Research Base of Beijing Modern Manufacturing Development, College of Economics and Management, Beijing University of Technology, Beijing, China;Center for Polymer Studies, Department of Physics, Boston University, Boston, MA, USA;Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China;Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, Beihang University, Beijing, China;School of Economics and Management, Beihang University, Beijing, China;Research Base of Beijing Modern Manufacturing Development, College of Economics and Management, Beijing University of Technology, Beijing, China;Center for Polymer Studies, Department of Physics, Boston University, Boston, MA, USA;Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China;Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, Beihang University, Beijing, China

摘要

Urban networks are typical multiplex networks with different forms of spatial interactions between cities, including spatial interactions among humans, material and information. It is important to systemically explore multiplex urban networks to understand the operation of complex urban systems and formulate policies for urban planning and regional development. However, studies investigating interurban networks from the multiplexity-based perspective are still in their infancy. Therefore, this study collects records from social media to construct a multiplex urban network with two layers that represent information flows and population mobility. The results of the topological properties analysis confirm that a high correlation exists between information resources and human capital, and there is a strong driving force from human capital to information flows. In addition, the joint effects of these two types of resources on urban development are analyzed, and the cross-layer resource clustering ability of cities is discussed. Several implications for urban economic development planning and orientation that could support macroscopic policy-making are provided.