A Study on the Spatial Distribution and Influencing Factors of Industrial Heritage in Liaoning Province

Fu Yinghang; Lee Sang-jun; Kim Mi-sun; Wang Enguang

doi:10.47297/taposatWSP2633-456913.20260705

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A Study on the Spatial Distribution and Influencing Factors of Industrial Heritage in Liaoning Province

7卷第5期

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A Study on the Spatial Distribution and Influencing Factors of Industrial Heritage in Liaoning Province
A Study on the Spatial Distribution and Influencing Factors of Industrial Heritage in Liaoning Province
Dongshin University, Naju-si, Jellanam - do, 58245, Republic of Korea
2026年7卷第5期页码：66-69
网络首发：2026-07-15，

纸质出版：2026-05-30
DOI：10.47297/taposatWSP2633-456913.20260705
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Fu Yinghang, Lee Sang-jun, Kim Mi-sun & Wang Enguang. (2026). A Study on the Spatial Distribution and Influencing Factors of Industrial Heritage in Liaoning Province. 科技理论与实践（英文版）, 7(5), 66-69.

Fu Yinghang,Sang-jun Lee,Mi-sun Kim,et al.A Study on the Spatial Distribution and Influencing Factors of Industrial Heritage in Liaoning Province[J].Theory and Practice of Science and Technology,2026,07(05):66-69.
Fu Yinghang, Lee Sang-jun, Kim Mi-sun & Wang Enguang. (2026). A Study on the Spatial Distribution and Influencing Factors of Industrial Heritage in Liaoning Province. 科技理论与实践（英文版）, 7(5), 66-69. DOI： 10.47297/taposatWSP2633-456913.20260705.

Fu Yinghang,Sang-jun Lee,Mi-sun Kim,et al.A Study on the Spatial Distribution and Influencing Factors of Industrial Heritage in Liaoning Province[J].Theory and Practice of Science and Technology,2026,07(05):66-69. DOI： 10.47297/taposatWSP2633-456913.20260705.

摘要

Abstract

Taking 47 national and provincial industrial heritage sites in Liaoning Province as the research objects

this study employs GIS spatial analysis methods

including kernel density analysis

standard deviational ellipse analysis

and average nearest neighbor analysis

to systematically reveal their spatial distribution characteristics. Band collection statistics

buffer analysis

and Pearson correlation analysis are further used to examine the influences of mineral resources

railway transportation

and urban economic and population scales on the spatial pattern of industrial heritage. The results show that industrial heritage in Liaoning Province presents a multi-core clustered spatial pattern extending from northeast to southwest (ANN = 0.472

p < 0.001). Liaoyang has the highest clustering density

while Dalian has the lowest. Mineral resources (r = 0.458) and railway transportation (r = 0.454) jointly constitute the dual driving mechanisms shaping the spatial pattern of industrial heritage. In addition

urban population size is significantly positively correlated with the number of industrial heritage sites (r = 0.638)

while some small and medium-sized cities exhibit a clear mismatch between historical industrial accumulation and contemporary economic scale. The findings provide a spatial basis for differentiated conservation strategies for industrial heritage in Liaoning Province.

关键词

Keywords

references

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