A Study on Industrial Heritage Renewal Strategy Based on Hybrid Bayesian Network

Rui Han and Shiqi Yang ()
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Rui Han: College of Art and Design, Jilin Jianzhu University, Changchun 130118, China
Shiqi Yang: College of Art and Design, Jilin Jianzhu University, Changchun 130118, China

Sustainability, 2023, vol. 15, issue 13, 1-32

Abstract: A more scientific, objective, and reasonable renewal orientation is gradually becoming a research hotspot in the field of industrial heritage conservation and renewal. This study selected five samples to carry out field investigation and face-to-face interviews. POI data were collected and analyzed, which revealed the relationship between environmental resources and the five samples based on the kernel density estimation method. Sequentially, we unprecedentedly created a complete BN-POI-AHP hybrid Bayesian network model that was used to implement simulation analysis of the industrial heritage of the Former Site Museum of Changchun Film Studio. A renewal orientation and a strategy for the community comprehensive sports ground were determined based on the results of the simulation data through the previous model. We eventually achieved a sustainable renewal strategy and innovative research method for industrial heritage, from objective data collection and simulation model creation to generation of a final reasonable plan.

Keywords: industrial heritage; renewal orientation; BN-POI-AHP hybrid Bayesian network model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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