Spatial evolution and mechanism of knowledge gatekeepers in the Yangtze River Delta region

LI, Yuyang; GU, Renxu; WANG, Tengfei; BI, Xuecheng

doi:10.18306/dlkxjz.2021.06.003

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…The typhoon structure and their circulation field determine that the typhoons in this sea area tend to move in the northwest direction due to the combined force from the northwest, where the Zhejiang, Fujian, and Guangdong are located (Lin, 1988). In addition, the southeast wind prevails in this region in summer, and the east-southeast wind is the dominant wind direction most favorable for water increase in this region (Kuo Li and Li, 2010).…”

Section: Spatiotemporal Characteristics Of Compound Probabilitymentioning

confidence: 99%

A spatiotemporal analysis of compound typhoon storm surge disasters in China

Zhang,

Li,

Zhang

et al. 2024

Preprint

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The compound typhoon storm surge disaster (CTSSD) is a major Marine disaster in China. Understanding its spatiotemporal characteristics is of great significance for its prevention and mitigation. Characterized by a large spatial scale (China) and a long time series (1989-2020), this paper proposes a framework to investigate the probability and intensity under different compound scenarios. The framework contains two dimensions, time and space, and methods such as the Mann-Kendall test, the Standard Deviation Ellipse model, and the Spatial clustering analysis are adopted. Subsequently, the links between observed characteristics with policy, adaptation, and geography are explored, and suitable risk governance recommendations for Chinese CTSSD are proposed. The results show that the probability characteristics of different compound scenarios are different. This is closely related to the uneven spatiotemporal distribution of precipitation, typhoon landings, and the tide range of astronomical tide, and thus a pattern of "wind and precipitation prevention in South China, and astronomical tide prevention in North China" is proposed. The probability shows an increasing trend but the intensity shows a downward trend, suggesting that policies taken by China (such as building high-standard seawalls, developing technology, and institutional construction) reduce the damage of CTSSD effectively. By understanding the global excellent cases, a suggestion of "use both 'soft' measures and 'hard' measures, develop community-based CTSSD management" is put forward, which is hoped to provide new ideas for the prevention and management of CTSSD in China.

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Section: Spatiotemporal Characteristics Of Compound Probabilitymentioning

confidence: 99%

A spatiotemporal analysis of compound typhoon storm surge disasters in China

Zhang,

Li,

Zhang

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…World cities and urban agglomerations have grown into competitive global centers, gaining considerable attention in academia (Jiao et al, 2016), especially in China, where there has been a drastic increase in cities and metropolitan areas (Deng et al, 2018; Duan et al, 2018; Gui et al, 2021; Li, 2014b; Liu, 2020; Ma, 2017; Qiu et al, 2019; Wang and Jing, 2017; Wang et al, 2014; Zhou et al, 2020). These areas are becoming increasingly interconnected due to the impact of globalization and information technology, resulting in the formation of city networks.…”

Section: Introductionmentioning

confidence: 99%

Multi-scaled city networks based on automotive industry value chain: a case study from Urban Agglomeration in the Middle Reaches of the Yangtze River

Xiong,

Zheng,

Wang

2023

Transactions in Planning and Urban Research

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Researchers are increasingly focusing on city networks, but there has been little in-depth research on the spatial heterogeneity of city networks at different scales, which makes it easy to overlook the functional differences of various actors in the network at different scales. To fill this gap, this research employs a case study of the Urban Agglomeration in the Middle Reaches of the Yangtze River, using a combination of quantitative and qualitative methods to supplement multi-scaled data on the subject. This study reveals the emergence of three models of city networks in central China as a result of the automotive industry value chain, which spans from spare parts to automakers and sale/service. The first model is strongly connected city networks centered on the ‘Wuhan–Xiangyang–Shiyan’ economic belt and embeds itself in Hubei province. The second model is city networks centered on the ‘Changsha–Zhuzhou–Xiangtan’ Urban Agglomeration and embeds itself in Hunan province. The third model is flattened city networks that expand on their own in Jiangxi Province. The demand for vehicles fueled the growth of these city networks through spatial division of labor. However, there are still boundaries and distance that hinder expansion, and the fact that some automotive companies are state-owned has made them an essential instrument for the Chinese government to control regional city networks.

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Collaborative innovation relationship in Yangtze River Delta of China: Subjects collaboration and spatial correlation

Zhuang

Zhao

2022

Technology in Society

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Spatial evolution and mechanism of knowledge gatekeepers in the Yangtze River Delta region

Cited by 3 publications

References 30 publications

A spatiotemporal analysis of compound typhoon storm surge disasters in China

A spatiotemporal analysis of compound typhoon storm surge disasters in China

Multi-scaled city networks based on automotive industry value chain: a case study from Urban Agglomeration in the Middle Reaches of the Yangtze River

Collaborative innovation relationship in Yangtze River Delta of China: Subjects collaboration and spatial correlation

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