Determination of the temporal-spatial pattern distribution and evolution of industrial heritage in Northeast China and its influencing factors

This study investigates the spatiotemporal evolution and influencing factors of industrial heritage in Northeast China based on a dataset of 635 sites. Spatial analytical methods, including kernel density analysis, nearest neighbor index, standard deviation ellipse, trend surface analysis, and Voronoi polygon analysis, were applied using ArcGIS 10.8. The results indicate that: (1) The development of industrial heritage in Northeast China can be divided into 5 distinctive historical stages (2) Spatially imbalanced distribution showing increasing clustering over time, with east-west concentration along resource-rich eastern zones and north-south shifts from peripheral to central dominance. Spatial transitions occurred from railway corridors to resource zones and back. (3) Regional specialization: Liaoning dominates metal mining/metallurgy, Heilongjiang in coal/petroleum/transportation, Jilin in food/light industries, and eastern Inner Mongolia in transportation/energy. Multifactorial analysis identifies combined influences of resource availability, railway networks, hydrography, topography, climate, and policy shifts. The research proposes targeted conservation strategies informed by these spatiotemporal patterns and regional industrial characteristics, offering methodological frameworks for heritage revitalization in post-industrial regions. This systematic approach enhances understanding of industrial civilization trajectories while supporting sustainable heritage management in Northeast China.

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Publication Details

Journal
Scientific Reports
Published
2026-03-12
DOI
https://doi.org/10.1038/s41598-026-41854-z
Primary Topic
Cultural Heritage Management and Preservation
Type
article
Field-Weighted Citation Impact
0.00
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article

Determination of the temporal-spatial pattern distribution and evolution of industrial heritage in Northeast China and its influencing factors

Yanyi Chen, Ji Wang, Jingyi Liu, Yu Ban et al.
Scientific Reports
Cultural Heritage Management and Preservation
article

Determination of the temporal-spatial pattern distribution and evolution of industrial heritage in Northeast China and its influencing factors

Yanyi Chen, Ji Wang, Jingyi Liu, Yu Ban, Chang Liu
article en

Abstract

This study investigates the spatiotemporal evolution and influencing factors of industrial heritage in Northeast China based on a dataset of 635 sites. Spatial analytical methods, including kernel density analysis, nearest neighbor index, standard deviation ellipse, trend surface analysis, and Voronoi polygon analysis, were applied using ArcGIS 10.8. The results indicate that: (1) The development of industrial heritage in Northeast China can be divided into 5 distinctive historical stages (2) Spatially imbalanced distribution showing increasing clustering over time, with east-west concentration along resource-rich eastern zones and north-south shifts from peripheral to central dominance. Spatial transitions occurred from railway corridors to resource zones and back. (3) Regional specialization: Liaoning dominates metal mining/metallurgy, Heilongjiang in coal/petroleum/transportation, Jilin in food/light industries, and eastern Inner Mongolia in transportation/energy. Multifactorial analysis identifies combined influences of resource availability, railway networks, hydrography, topography, climate, and policy shifts. The research proposes targeted conservation strategies informed by these spatiotemporal patterns and regional industrial characteristics, offering methodological frameworks for heritage revitalization in post-industrial regions. This systematic approach enhances understanding of industrial civilization trajectories while supporting sustainable heritage management in Northeast China.

Scientific Reports
Harbin Institute of Technology (CN), Ministry of Industry and Information Technology (CN)
Openalex Percentile: Top 24%
Cultural Heritage Management and Preservation
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