Dynamic Characteristics Mechanism of Hunan-Jiangxi Red Cultural Resources from the Perspective of Machine Learning

ZHANG Hua; HUANG Hao; TIAN Zhixuan

doi:10.19554/j.cnki.1001-3563.2026.04.018

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (4) : 206-217. DOI: 10.19554/j.cnki.1001-3563.2026.04.018

Industrial Design

Dynamic Characteristics Mechanism of Hunan-Jiangxi Red Cultural Resources from the Perspective of Machine Learning

ZHANG Hua^1,2, HUANG Hao^1,2,*, TIAN Zhixuan¹

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Abstract

The work aims to take the red culture resources of Hunan and Jiangxi provinces as the object to explore the implications of assessment results for spatial layout and experience design to address the lack of systematic analysis of the spatiotemporal distribution characteristics of resources and insufficient research on the correlation between input and output efficiency in traditional cultural heritage value assessment. Multi-source data on red culture in Hunan and Jiangxi provinces from 2014 to 2024 were collected. A three-dimensional assessment model of "Input-Efficiency-Optimization" (IEO) including five dimensions of resource input, economic benefits, social benefits, cultural inheritance, and sustainable development was constructed. A corresponding indicator system was formed, and a dynamic efficiency prediction framework based on a spatiotemporal weight matrix was proposed by combining random forest feature importance analysis and spatial econometrics. Results showed that the random forest model performed best (R²=0.925 4), and the correlation between resource input and comprehensive efficiency was the strongest (r=0.876, P<0.01). Sustainable development and cultural heritage protection were the dominant features of efficiency improvement. The evolution of resource efficiency showed an "S-shaped" pattern with an input-output time lag of about 1-2 years. The spatial pattern showed a "core-periphery" concentric structure, and the synergistic gain was significant when the number of cross-regional cooperation projects reached 25. In conclusion, the machine learning-driven IEO three-dimensional evaluation model provides a quantitative basis for the allocation of red culture resources and translates it into an integrated design principle of "commemorative nodes-narrative tourism-service network" for red culture in Hunan and Jiangxi provinces, providing a methodological reference for the spatial layout, configuration of experiential elements and dynamic adaptive design of red culture.

Key words

Hunan-Jiangxi red culture / machine learning / resource efficiency / dynamic features / cultural heritage

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ZHANG Hua, HUANG Hao, TIAN Zhixuan. Dynamic Characteristics Mechanism of Hunan-Jiangxi Red Cultural Resources from the Perspective of Machine Learning[J]. Packaging Engineering. 2026, 47(4): 206-217 https://doi.org/10.19554/j.cnki.1001-3563.2026.04.018

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