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

Author

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  • Rui Han

    (College of Art and Design, Jilin Jianzhu University, Changchun 130118, China
    School of Architecture, Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology of Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin 150006, China
    Department of Architecture and Design, Politecnico di Torino, 10125 Torino, Italy)

  • Shiqi Yang

    (College of Art and Design, Jilin Jianzhu University, Changchun 130118, China)

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.

Suggested Citation

  • Rui Han & Shiqi Yang, 2023. "A Study on Industrial Heritage Renewal Strategy Based on Hybrid Bayesian Network," Sustainability, MDPI, vol. 15(13), pages 1-32, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10707-:d:1188883
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    1. Jiahao Zhang & Hao Sun & Subin Xu & Nobuo Aoki, 2022. "Analysis of the Spatial and Temporal Distribution and Reuse of Urban Industrial Heritage: The Case of Tianjin, China," Land, MDPI, vol. 11(12), pages 1-22, December.
    2. Sou-Sen Leu & Cheng-Yu Lu & Pei-Lin Wu, 2023. "Dynamic-Bayesian-Network-Based Project Cost Overrun Prediction Model," Sustainability, MDPI, vol. 15(5), pages 1-14, March.
    3. Anthi Pournara & Fani Sakellariadou, 2022. "Development of a Protocol for a Sustainable Blue Economy in the Coastal Zone: Case Study and Preliminary Results in a Coastal Industrial Area in the Eastern Mediterranean," Sustainability, MDPI, vol. 14(16), pages 1-8, August.
    4. Lauritzen, Steffen L., 1995. "The EM algorithm for graphical association models with missing data," Computational Statistics & Data Analysis, Elsevier, vol. 19(2), pages 191-201, February.
    5. Xosé Somoza-Medina & Obdulia Monteserín-Abella, 2021. "The Sustainability of Industrial Heritage Tourism Far from the Axes of Economic Development in Europe: Two Case Studies," Sustainability, MDPI, vol. 13(3), pages 1-27, January.
    6. Rui Han & Daping Liu & Guangjie Zhu & Linjie Li, 2022. "A Comparative Study on Planning Patterns of Industrial Bases in Northeast China Based on Spatial Syntax," Sustainability, MDPI, vol. 14(2), pages 1-17, January.
    7. Zebo Ni & Taohua Ouyang & Jianxiong Xu, 2023. "Research on the Sustainable Development of Enterprises That Evoke Industrial Heritage—A Case Study of Taoxichuan," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
    8. Marta Bottero & Chiara D’Alpaos & Alessandra Oppio, 2019. "Ranking of Adaptive Reuse Strategies for Abandoned Industrial Heritage in Vulnerable Contexts: A Multiple Criteria Decision Aiding Approach," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
    9. Wen-Jie Yan & Shu-Tang Liu, 2023. "Creative Economy and Sustainable Development: Shaping Flexible Cultural Governance Model for Creativity," Sustainability, MDPI, vol. 15(5), pages 1-28, February.
    10. Yunzhu Ji & Minghao Xu & Tong Zhang & Yingdong He, 2023. "Intelligent Parametric Optimization of Building Atrium Design: A Case Study for a Sustainable and Comfortable Environment," Sustainability, MDPI, vol. 15(5), pages 1-25, February.
    11. Qiao Wang & Wenwen Liu & Liang Mao, 2023. "Spatial Evolution of Traditional Village Dwellings in Heilongjiang Province," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    12. Marcot, Bruce G., 2017. "Common quandaries and their practical solutions in Bayesian network modeling," Ecological Modelling, Elsevier, vol. 358(C), pages 1-9.
    13. Olugbenga Timo Oladinrin & Jayantha Wadu Mesthrige & Lekan Damilola Ojo & João Alencastro & Muhammad Rana, 2023. "Smart Home Technologies to Facilitate Ageing-in-Place: Professionals Perception," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    14. Yacef, R. & Benghanem, M. & Mellit, A., 2012. "Prediction of daily global solar irradiation data using Bayesian neural network: A comparative study," Renewable Energy, Elsevier, vol. 48(C), pages 146-154.
    15. Yongjun Chen & Xiaojian Li & Jin Wang & Mei Liu & Chaoxun Cai & Yuefeng Shi, 2023. "Research on the Application of Fuzzy Bayesian Network in Risk Assessment of Catenary Construction," Mathematics, MDPI, vol. 11(7), pages 1-19, April.
    16. Nadine Kafa & Anicia Jaegler & Joseph Sarkis, 2020. "Harnessing Corporate Sustainability Decision-Making Complexity: A Field Study of Complementary Approaches," Sustainability, MDPI, vol. 12(24), pages 1-23, December.
    17. Isaac Dialsingh, 2014. "Risk assessment and decision analysis with Bayesian networks," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(4), pages 910-910, April.
    18. Philippe Cyrenne & Robert Fenton & Joseph Warbanski, 2006. "Historic Buildings and Rehabilitation Expenditures: A Panel Data Approach," Journal of Real Estate Research, American Real Estate Society, vol. 28(4), pages 349-380.
    19. Hongyu Wang & Jian Tang & Pengpeng Xu & Rundong Chen & Haona Yao, 2022. "Research on the Influence Mechanism of Street Vitality in Mountainous Cities Based on a Bayesian Network: A Case Study of the Main Urban Area of Chongqing," Land, MDPI, vol. 11(5), pages 1-22, May.
    20. Jinjiang Yao & Bingkui Qiu & Min Zhou & Aiping Deng & Siqi Li, 2021. "A Two-Stage Fuzzy Optimization Model for Urban Land Use: A Case Study of Chongzhou City," Sustainability, MDPI, vol. 13(24), pages 1-24, December.
    21. Yanqin Zhang & Enming Ye & Fan Liu & Ningjing Lai & Xianli You & Jianwen Dong & Jiaying Dong, 2023. "The Relationship between Landscape Construction and Bird Diversity: A Bibliometric Analysis," IJERPH, MDPI, vol. 20(5), pages 1-21, March.
    22. Barton, D.N. & Saloranta, T. & Moe, S.J. & Eggestad, H.O. & Kuikka, S., 2008. "Bayesian belief networks as a meta-modelling tool in integrated river basin management -- Pros and cons in evaluating nutrient abatement decisions under uncertainty in a Norwegian river basin," Ecological Economics, Elsevier, vol. 66(1), pages 91-104, May.
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    1. Marko Nikolić & Jelena Šćekić & Boško Drobnjak & Ena Takač, 2024. "Examined in Theory—Applicable in Practice: Potentials of Sustainable Industrial Heritage Conservation in a Contemporary Context—The Case of Belgrade," Sustainability, MDPI, vol. 16(7), pages 1-36, March.

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