2017
DOI: 10.1016/j.spasta.2017.02.008
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An evaluation of China’s urban agglomeration development from the spatial perspective

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Cited by 39 publications
(25 citation statements)
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“…Therefore, the intensity of internal competition inside urban agglomerations is lower than that outside urban agglomerations. This finding is consistent with results by Gao et al (2017). One implication is that during the 13th…”
Section: Regional Competition Pattern Across Time and Urban Agglomerasupporting
confidence: 93%
“…Therefore, the intensity of internal competition inside urban agglomerations is lower than that outside urban agglomerations. This finding is consistent with results by Gao et al (2017). One implication is that during the 13th…”
Section: Regional Competition Pattern Across Time and Urban Agglomerasupporting
confidence: 93%
“…In the context of global urbanization and economic globalization, the megalopolises of the world have begun merging toward "super-urban agglomerations." These trends clearly indicate that urban agglomerations are becoming an important way to increase regional competitiveness, as well as a novel approach to promote economic development, and coordinate environmentally sustainable socioeconomic development by integrating resources on regional scales [8][9][10]. Therefore, focusing on the effective planning and 2 of 21 management of urban growth in urban agglomerations and understanding the mechanisms that drive urbanization have become increasingly crucial for national sustainable development.…”
Section: Introductionmentioning
confidence: 99%
“…Gottmann and McGee provided valuable information regarding the spatial pattern and structure of urban expansion at the regional scale [24,25]. The following researchers explore uneven phenomena with various methodologies and datasets [17], spatial patterns and structures [26], dynamic urban systems [27,28], and influencing factors and mechanisms [11,29]; while some have centered their research on topics about land use regulation policies [11]. Most scholars focus on historical processes and current states, while few attempt to predict or simulate future possibilities related to uneven land development.…”
Section: Introductionmentioning
confidence: 99%