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author:

Chen, T. (Chen, T..) [1] | Liu, Q. (Liu, Q..) [2] | Wu, X. (Wu, X..) [3] (Scholars:武昕)

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Abstract:

At present, most of the existing studies on traditional residence are focused on conservation and reuse, discussion on their environmental adaptability, and the design wisdom of traditional villages in terms of disaster prevention and mitigation and environmental adaptability has not been fully explored. Traditional villages along the coast of Fujian are divided into two categories: one is the traditional villages that were coastal defence guards in the Ming dynasty and Qing dynasty; the other is the traditional villages that have been transformed defence functions. The new villages designed after the 1980s are different in terms of street layout and architectural forms, with stronger wind in the village. A comparative study of old and new villages can help us understand the wisdom of traditional villages and preserve and utilize them better. This paper thus takes Qinjiang Village in Fuzhou City, Fujian Province as a case to quantitatively summarizes the relationship between street layout and spatial morphological characteristics of historical villages and their adaptability to wind environment, by comparing the spatial integration of the village and its adaptation to the sea wind environment are analysed by CFD software simulation with Depthmap of Space Syntax. concludes that crossroads have better wind protection than T junctions for street layout under the same wind effect; the street height to width ratio is inversely proportional to the average wind speed; the activity plazas properly interspersed between streets are conducive to optimising the wind environment.  © 2024 Author(s).

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  • [ 1 ] [Chen T.]School of Architecture, Fuzhou University, Fuzhou, China
  • [ 2 ] [Liu Q.]School of Architecture, Fuzhou University, Fuzhou, China
  • [ 3 ] [Wu X.]School of Architecture, Fuzhou University, Fuzhou, China

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ISSN: 0094-243X

Year: 2024

Issue: 1

Volume: 3203

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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