标题: Urban Morphology Promotes Urban Vibrancy from the Spatiotemporal and Synergetic Perspectives: A Case Study Using Multisource Data in Shenzhen, China

作者: Li, SJ (Li, Sijia); Wu, C (Wu, Chao); Lin, Y (Lin, Yu); Li, ZY (Li, Zhengyang); Du, QY (Du, Qingyun)

来源出版物: SUSTAINABILITY卷: 12期: 12文献号: 4829 DOI: 10.3390/su12124829出版年: JUN 2020

摘要: Urban vibrancy is the key and the foundation for monitoring the status of urban spatial development, assisting in data-driven urban development planning and realizing sustainable urban development. Based on a dataset of multisource geographical big data, the understanding and analysis of urban vibrancy can be deepened with fine granularity. The working framework in this study focuses on the comprehensive perspective of urban morphology, which is decomposed into two dimensions (formality and functionality) and four elements (road, block, building, point of interest). The geographically and temporally weighted regression model was first applied to determine the spatiotemporal effect of the morphological metrics on vibrancy, and then, the geographical detector was employed from the perspective of spatially stratified heterogeneity to reveal the synergetic impacts. The following findings were revealed. (1) Dense street networks, small and medium-sized blocks, and the diversification and intensification of building and land use are beneficial to urban vibrancy. (2) Under the premise of adapting to local conditions, urban spaces combine multiple morphological metrics for the accomplishment of a full-region and all-time vibrancy. (3) The mixture of urban functions is worthy of attention for vibrancy growth because of its extraordinary synergy, not its capacity. Morphological metrics serve to foster and prolong urban vibrancy, adapt to urban sustainability, and contend against inefficient, disorderly urban sprawl. These findings provide significant implications for urban planners/designers and policymakers to optimize urban morphology, improve the vibrancy in large cities, and implement high-quality city planning.

入藏号: WOS:000553606000001

语言: English

文献类型: Article

作者关键词: urban vibrancy; urban morphology; spatiotemporal effect; synergetic effect; multisource data

地址: [Li, Sijia; Du, Qingyun] Wuhan Univ, Sch Resources & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Wu, Chao] Nanjing Univ Posts & Telecommun, Sch Geog & Biol Informat, Nanjing 210023, Peoples R China.

[Lin, Yu] Hubei Inst Land Surveying & Mapping, 199 Aomen Rd, Wuhan 430010, Peoples R China.

[Li, Zhengyang] Yunnan Prov Mapping Inst, 223 Xichang Rd, Kunming 650034, Yunnan, Peoples R China.

[Du, Qingyun] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Du, Qingyun] Wuhan Univ, Key Lab Digital Mapping & Land Informat Applicat, Minist Nat Resources, Wuhan 430079, Peoples R China.

[Du, Qingyun] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.

通讯作者地址: Du, QY (corresponding author)，Wuhan Univ, Sch Resources & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China. Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, 129 Luoyu Rd, Wuhan 430079, Peoples R China. Wuhan Univ, Key Lab Digital Mapping & Land Informat Applicat, Minist Nat Resources, Wuhan 430079, Peoples R China. Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.

电子邮件地址: sjliwhu@gmail.com; chaowu@njupt.edu.cn; linyu_whu@163.com; zhengyangli822@foxmail.com;qydu@whu.edu.cn

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