Investigation on the Space Patterns and Influential Factors for Distribution of Traditional Villages in Sichuan
Traditional villages encapsulate the core of traditional culture and represent an indispensable element for rural revitalization. Nevertheless, over the past few decades, the continuous expansion of urban areas has resulted in the destruction of these villages. It holds immense importance to scrutin...
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Online Access: | http://umpir.ump.edu.my/id/eprint/42778/1/Investigation%20on%20the%20Space%20Patterns%20and%20Influential%20Factors%20for%20Distribution.pdf http://umpir.ump.edu.my/id/eprint/42778/ https://doi.org/10.15282/construction.v4i2.10771 https://doi.org/10.15282/construction.v4i2.10771 |
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my.ump.umpir.427782024-10-10T07:05:26Z http://umpir.ump.edu.my/id/eprint/42778/ Investigation on the Space Patterns and Influential Factors for Distribution of Traditional Villages in Sichuan Hua, Z. Z. Jamaludin, Omar Doh, Shu Ing GF Human ecology. Anthropogeography TA Engineering (General). Civil engineering (General) Traditional villages encapsulate the core of traditional culture and represent an indispensable element for rural revitalization. Nevertheless, over the past few decades, the continuous expansion of urban areas has resulted in the destruction of these villages. It holds immense importance to scrutinize the spatial arrangement and factors influencing the safeguarding and advancement of traditional villages. Previous research has predominantly concentrated on the value and protective mechanisms of traditional villages, overlooking their spatial distribution attributes and influencing factors. Hence, The paper focus on 396 traditional villages in Sichuan. Google Earth was utilized to rectify the longitude and latitude coordinates of villages. ArcGIS 10.8 and Geo-detector 2015 software was employed to examine the geographical distribution and influencing factors of traditional villages in Sichuan. The findings revealed that: (1) Sichuan traditional villages exhibit a clustered distribution, with the highest concentration found in Bazhong and Guangyuan cities in northeast Sichuan. Following closely are Li County of Aba Prefecture, Danba County of Ganzi Prefecture in northwest Sichuan, the junctions of Zigong, Neijiang, and Luzhou in southern Sichuan, and the junctions of Ya'an, Meishan, and Leshan in the Chengdu Plain. (2) Traditional villages in Sichuan are impacted by natural environmental and socio-economic factors, with temperature, altitude, precipitation, and distance from cities significantly affecting their distribution. (3) Approaches for the conservation and advancement of those villages include supporting spontaneously organized eco-friendly and sustainable agricultural projects by farmers, as well as planning the development of concentrated and contiguous tourism industries while protecting the ecological environment. Penerbit UMP 2024 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/42778/1/Investigation%20on%20the%20Space%20Patterns%20and%20Influential%20Factors%20for%20Distribution.pdf Hua, Z. Z. and Jamaludin, Omar and Doh, Shu Ing (2024) Investigation on the Space Patterns and Influential Factors for Distribution of Traditional Villages in Sichuan. Construction, 4 (2). 193 -207. ISSN 2785-8731. (Published) https://doi.org/10.15282/construction.v4i2.10771 https://doi.org/10.15282/construction.v4i2.10771 |
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GF Human ecology. Anthropogeography TA Engineering (General). Civil engineering (General) Hua, Z. Z. Jamaludin, Omar Doh, Shu Ing Investigation on the Space Patterns and Influential Factors for Distribution of Traditional Villages in Sichuan |
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Traditional villages encapsulate the core of traditional culture and represent an indispensable element for rural revitalization. Nevertheless, over the past few decades, the continuous expansion of urban areas has resulted in the destruction of these villages. It holds immense importance to scrutinize the spatial arrangement and factors influencing the safeguarding and advancement of traditional villages. Previous research has predominantly concentrated on the value and protective mechanisms of traditional villages, overlooking their spatial distribution attributes and influencing factors. Hence, The paper focus on 396 traditional villages in Sichuan. Google Earth was utilized to rectify the longitude and latitude coordinates of villages. ArcGIS 10.8 and Geo-detector 2015 software was employed to examine the geographical distribution and influencing factors of traditional villages in Sichuan. The findings revealed that: (1) Sichuan traditional villages exhibit a clustered distribution, with the highest concentration found in Bazhong and Guangyuan cities in northeast Sichuan. Following closely are Li County of Aba Prefecture, Danba County of Ganzi Prefecture in northwest Sichuan, the junctions of Zigong, Neijiang, and Luzhou in southern Sichuan, and the junctions of Ya'an, Meishan, and Leshan in the Chengdu Plain. (2) Traditional villages in Sichuan are impacted by natural environmental and socio-economic factors, with temperature, altitude, precipitation, and distance from cities significantly affecting their distribution. (3) Approaches for the conservation and advancement of those villages include supporting spontaneously organized eco-friendly and sustainable agricultural projects by farmers, as well as planning the development of concentrated and contiguous tourism industries while protecting the ecological environment. |
format |
Article |
author |
Hua, Z. Z. Jamaludin, Omar Doh, Shu Ing |
author_facet |
Hua, Z. Z. Jamaludin, Omar Doh, Shu Ing |
author_sort |
Hua, Z. Z. |
title |
Investigation on the Space Patterns and Influential Factors for Distribution of Traditional Villages in Sichuan |
title_short |
Investigation on the Space Patterns and Influential Factors for Distribution of Traditional Villages in Sichuan |
title_full |
Investigation on the Space Patterns and Influential Factors for Distribution of Traditional Villages in Sichuan |
title_fullStr |
Investigation on the Space Patterns and Influential Factors for Distribution of Traditional Villages in Sichuan |
title_full_unstemmed |
Investigation on the Space Patterns and Influential Factors for Distribution of Traditional Villages in Sichuan |
title_sort |
investigation on the space patterns and influential factors for distribution of traditional villages in sichuan |
publisher |
Penerbit UMP |
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2024 |
url |
http://umpir.ump.edu.my/id/eprint/42778/1/Investigation%20on%20the%20Space%20Patterns%20and%20Influential%20Factors%20for%20Distribution.pdf http://umpir.ump.edu.my/id/eprint/42778/ https://doi.org/10.15282/construction.v4i2.10771 https://doi.org/10.15282/construction.v4i2.10771 |
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