不确定性视角下现代化装配式建筑驱动新湖南绿色建设的协同机制研究
Research on the Collaborative Mechanism of Modern Prefabricated Buildings Driving Green Construction in New Hunan from the Perspective of Uncertainty
摘要: 在“双碳”目标与湖南省“三高四新”战略深入推进的背景下,现代化装配式建筑作为新湖南绿色建设的核心载体,面临技术迭代、成本波动、政策适配及极端气候等多重不确定性挑战。本研究基于不确定性理论与协同创新理论,构建“技术–产业–政策–市场”四维协同机制,系统解构湖南省装配式建筑绿色建设中的核心矛盾:技术层面存在湿热气候适配性不足、数字化转型滞后等风险,经济层面受限于全周期成本高与收益回报周期长,政策层面面临补贴退坡与标准体系滞后问题,环境与社会层面存在极端天气冲击及公众接受度偏低等困境。研究提出针对性协同路径:通过产学研用深度融合攻关本土化技术、打造“链主企业 + 专精特新”抗风险型产业链、设计弹性政策工具箱与市场化风险对冲工具、构建公众参与机制与人才储备体系,形成多主体联动的不确定性应对体系。研究表明,聚焦不确定性因素的协同机制构建,可有效提升装配式建筑绿色建设的系统韧性,为湖南省突破“技术适配难、成本控制难、政策协同难”瓶颈提供理论支撑与实践方案,助力实现建筑产业现代化与“双碳”目标的深度耦合。
Abstract: Against the backdrop of the in-depth advancement of the “Double Carbon” Goals and Hunan Province’s “Three Highs and Four New Strategies,” modern prefabricated buildings, as the core carrier of green construction in New Hunan, face multiple uncertainties such as technological iteration, cost fluctuations, policy adaptation, and extreme climate challenges. Based on uncertainty theory and collaborative innovation theory, this study constructs a “technology-industry-policy-market” four-dimensional collaborative mechanism to systematically deconstruct the core contradictions in Hunan’s prefabricated building green construction: at the technical level, there are risks such as insufficient adaptability to hot and humid climates and lagging digital transformation; at the economic level, it is constrained by high full-cycle costs and long return-on-investment periods; at the policy level, it faces the phasing out of subsidies and lagging standard systems; and at the environmental and social levels, it is confronted with dilemmas such as extreme weather impacts and low public acceptance. The study proposes targeted collaborative paths: through deepening the integration of industry, academia, research, and application to tackle localized technologies, building a risk-resistant industrial chain featuring “leading chain enterprises + specialized, refined, characteristic, and innovative firms”, designing flexible policy toolkits and market-based risk hedging instruments, and constructing public participation mechanisms and talent reserve systems, a multi-stakeholder uncertainty response system with coordinated actions is formed. The research shows that focusing on the construction of a collaborative mechanism for uncertain factors can effectively enhance the system resilience of prefabricated building green construction, provide theoretical support and practical solutions for Hunan to break through the bottlenecks of “difficult technical adaptation, difficult cost control, and difficult policy coordination”, and help achieve the deep coupling of construction industry modernization and the “Double Carbon” Goals.
文章引用:郭佳, 钟俊萍, 龙昊, 王玉奎, 张丹. 不确定性视角下现代化装配式建筑驱动新湖南绿色建设的协同机制研究[J]. 土木工程, 2025, 14(6): 1453-1461. https://doi.org/10.12677/hjce.2025.146156

参考文献

[1] 纪颖波, 吕君毅, 李红仙, 等. 多目标优化设计提升装配式建筑性能[J]. 建筑工程杂志, 2024, 12(6): 101-112.
[2] 申广军, 吴清扬, 王雅琦. 税收激励的绿色红利: 来自中国的证据[J]. 经济行为与组织杂志, 2024, 21(12): 156-168.
[3] 张鑫. 双碳目标下区域经济发展与自然灾害风险评估[J]. 土地利用政策, 2024, 34(7): 234-245.
[4] 武涛, 刘建坤, 李栋. 装配整体式剪力墙建筑建造全过程碳排放预测模型[J]. 建筑科学, 2023, 40(11): 56-63.
[5] 高宇, 陈建国, 黄志挺. 装配式建筑施工阶段碳排放贡献标准评价方法[J]. 土木工程学报, 2023, 56(1): 89-97.
[6] 张涛, 王广斌, 胡振. 基于全生命周期的装配式建筑成本控制研究[J]. 建筑经济, 2022, 43(5): 45-52.
[7] 魏然, 叶献国, 胡习兵. 地震高烈度地区装配式钢框架建筑全生命周期经济性分析[J]. 工程管理学报, 2023, 37(2): 123-127.
[8] 湖南省财政厅. 湖南财政支持碳达峰碳中和工作的实施意见[J]. 中国人口·资源与环境, 2025, 35(4): 11-18.
[9] 湘潭市住建局. 湘潭市装配式建筑绿色建造发展提升三年行动方案(2024-2026年) [J]. 建筑科学, 2024, 40(11): 56-63.
[10] 王岩. 城市蓝绿基础设施对冬季微气候的影响机制[J]. 能源与建筑, 2023, 27(9): 145-153.
[11] Navaratnam, S., Ogunlana, S. and Dhakal, S. (2019) Prefabrication in Australia: Barriers and Enablers. Journal of Construction Engineering and Management, 145, Article 04019082.
[12] Saadatmanesh, H., Kheyroddin, A. and Sadeghian, H. (2020) A Review on the Application of Prefabricated Buildings in Seismic Regions. Engineering Structures, 212, Article 110486.
[13] 刘捷超. 装配式建筑产业链协同发展研究[J]. 湖南大学学报(自然科学版), 2024, 51(2): 123-130.
[14] 刘晓君, 刘晓丹, 罗西. 政策工具对公共建筑能耗监测技术扩散的影响[J]. 清洁生产杂志, 2023, 41(9): 78-86.
[15] 李启明, 邓小鹏, 汪文雄. 装配式建筑不确定性因素识别与风险评估[J]. 东南大学学报(自然科学版), 2024, 54(3): 567-573.