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Entropy 2019, 21(1), 20; https://doi.org/10.3390/e21010020

Spatio–Temporal Pattern of the Urban System Network in the Huaihe River Basin Based on Entropy Theory

1
Research Institute for Smart Cities & Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518061, China
2
College of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
3
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Received: 18 October 2018 / Revised: 14 December 2018 / Accepted: 18 December 2018 / Published: 27 December 2018
(This article belongs to the Special Issue Entropy and Scale-Dependence in Urban Modelling)
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Abstract

As complex systems, the spatial structure of urban systems can be analyzed by entropy theory. This paper first calculates the interaction force between cities based on the gravity model, the spatial relationship matrix between cities is constructed using the method of network modeling, and the spatial network modeling of urban system can be calculated. Secondly, the Efficiency Entropy (EE), Quality Entropy (QE), and System Entropy (SE) of urban system network are calculated and analyzed by information entropy. Finally, taking the Huaihe River Basin (HRB) as a case study, model verification and empirical analysis are performed. It is found that the spatio–temporal pattern of the urban system network structure in the basin is uneven: in space, the urban system network in the HRB presents a layer-by-layer spatial distribution centered on the core city of Xuzhou; meanwhile, the overall urban system network in the basin presents an orderly development trend. This study has certain theoretical and practical value for the planning of urban and urban systems and the coordinated development of regions. View Full-Text
Keywords: urban system; gravity model; spatial interaction; information entropy; Huaihe River Basin urban system; gravity model; spatial interaction; information entropy; Huaihe River Basin
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Fan, Y.; Guo, R.; He, Z.; Li, M.; He, B.; Yang, H.; Wen, N. Spatio–Temporal Pattern of the Urban System Network in the Huaihe River Basin Based on Entropy Theory. Entropy 2019, 21, 20.

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