2022
DOI: 10.3390/su14031244
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Evolution of Urban Construction Land Structure Based on Information Entropy and Shift-Share Model: An Empirical Study on Beijing-Tianjin-Hebei Urban Agglomeration in China

Abstract: Urban agglomerations are important carriers of the current world economic development and economic center of gravity shift, while urban construction land structure reflects and influences the functions and development directions of urban agglomerations and cities within them. It is significant to study the characteristics of urban construction land structure in urban agglomerations. Based on information entropy model and shift-share model, this study discusses and analyzes the evolution characteristics and spa… Show more

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Cited by 7 publications
(2 citation statements)
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“…The data of UCL area are from China Urban Construction Statistical Yearbook, and other data are from China Urban Statistical Yearbook. These datasets have been used in many studies, and a series of reliable findings have been obtained [34][35][36][37][38][39][40]. This proves that the datasets used in this study are valid and reliable.…”
Section: Data Sourcessupporting
confidence: 69%
“…The data of UCL area are from China Urban Construction Statistical Yearbook, and other data are from China Urban Statistical Yearbook. These datasets have been used in many studies, and a series of reliable findings have been obtained [34][35][36][37][38][39][40]. This proves that the datasets used in this study are valid and reliable.…”
Section: Data Sourcessupporting
confidence: 69%
“…Sustainable and sound urban agglomeration growth is independent of the development of urban construction land. In the development period when China is in transition, it has been a critical research topic to analyze the characteristics and comprehensive effects of urban construction land change in urban agglomerations and to reveal the spatio-temporal evolution patterns, which are necessary for scientific preparation of urban agglomeration development planning and spatial governance policy design [5].…”
Section: Introduction 1backgroundmentioning
confidence: 99%