Spatial correlation network and driving factors of construction land use efficiency in Beijing-Tianjin-Hebei city cluster

Spatial correlation network and driving factors of construction land use efficiency in Beijing-Tianjin-Hebei city cluster | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 15 January 2025 V1 Latest version Share on Spatial correlation network and driving factors of construction land use efficiency in Beijing-Tianjin-Hebei city cluster Author : WEN BO 0009-0005-0440-9238 Authors Info & Affiliations https://doi.org/10.22541/au.173695179.92842716/v1 123 views 59 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract In the context of regional integration and collaborative development, investigating the spatial correlation network characteristics and driving factors of construction land use efficiency within urban clusters is crucial for mitigating the tension between economic growth and the scarcity of construction land resources. It assesses efficiency using the DEA-BCC method for 13 cities and analyzes the network’s structure and evolution with a modified gravitational model and social network analysis. QAP regression dynamically explores influencing factors. Key findings include: 1) A complex, multi-tiered spatial correlation network with increasing interconnectivity yet fragile core-periphery links, indicating a need for enhanced correlation in land use. 2) Beijing and Tianjin are central, while Hebei cities are peripheral, with Shijiazhuang, Baoding, and Cangzhou’s roles growing. 3) Beijing-Tianjin-Langfang are major beneficiaries, and Hengshui-Qinhuangdao are significant spillover contributors. 4) The network shows limited integration with peripheral cities, influenced by geospatial, economic, innovation, industrial, and urbanization disparities. This study provides insights into land use efficiency and regional development dynamics within the cluster. Supplementary Material File (spatial correlation network and driving factors of construction land use efficiency in beijing tianjin hebei city cluster1.14.docx) Download 6.72 MB Information & Authors Information Version history V1 Version 1 15 January 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords beijing-tianjin-hebei city cluster construction land use efficiency qap regression analysis social network analysis spatial correlation network Authors Affiliations WEN BO 0009-0005-0440-9238 View all articles by this author Metrics & Citations Metrics Article Usage 123 views 59 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation WEN BO. Spatial correlation network and driving factors of construction land use efficiency in Beijing-Tianjin-Hebei city cluster. Authorea . 15 January 2025. 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