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预制建筑施工在物化阶段作为通过混合计算可视化算法实现酒店低碳转型的催化剂。

Prefabricated building construction in materialization phase as catalysts for hotel low-carbon transitions via hybrid computational visualization algorithms.

作者信息

Cai Gangwei, Guo Xiaoting, Su Yuguang

机构信息

College of Architecture and Urban Planning, Tongji University, Shanghai, 200092, China.

Hangzhou International Urbanology Research Center & Zhejiang Urban Governance Studies Center, Hangzhou, 311121, China.

出版信息

Sci Rep. 2025 Mar 5;15(1):7734. doi: 10.1038/s41598-025-92200-8.

DOI:10.1038/s41598-025-92200-8
PMID:40045007
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11882787/
Abstract

This study examines the carbon emissions of star-rated hotels in Hangzhou, comparing the environmental impact of prefabricated construction (PC) and conventional construction (CC) methodologies. The research reveals that PC generally results in lower carbon emissions during the materialization phase, with notable variations across different hotel star levels and administrative regions. Higher-star hotels exhibit higher total emissions, primarily due to larger scale and reliance on conventional construction methods. In contrast, lower-tier hotels benefit more consistently from the adoption of prefabricated construction, leading to significant reductions in carbon emissions. Regional analysis shows that the impact of the COVID-19 pandemic on hotel turnover and carbon decoupling trends varies, with core urban areas experiencing a more pronounced decoupling effect, while suburban regions exhibited slower recovery. The findings underscore the potential for prefabricated construction to reduce carbon footprints, particularly in mid-tier and lower-tier hotels. This study contributes to the understanding of sustainable construction practices in the hotel industry and provides a foundation for future research focused on refining carbon emission assessments, incorporating real-world data, and exploring the integration of renewable energy and lifecycle emissions.

摘要

本研究考察了杭州星级酒店的碳排放情况,比较了预制建筑(PC)和传统建筑(CC)方法对环境的影响。研究表明,在材料化阶段,预制建筑通常会产生较低的碳排放,不同酒店星级和行政区之间存在显著差异。高星级酒店的总排放量较高,主要是由于规模较大且依赖传统建筑方法。相比之下,低星级酒店采用预制建筑的收益更为稳定,从而大幅减少了碳排放。区域分析表明,新冠疫情对酒店营业额和碳脱钩趋势的影响各不相同,核心城区的脱钩效应更为明显,而郊区的复苏则较为缓慢。研究结果强调了预制建筑在减少碳足迹方面的潜力,尤其是在中低星级酒店。本研究有助于理解酒店行业的可持续建筑实践,并为未来研究提供了基础,这些研究将专注于完善碳排放评估、纳入实际数据以及探索可再生能源与生命周期排放的整合。

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Prefabricated building construction in materialization phase as catalysts for hotel low-carbon transitions via hybrid computational visualization algorithms.预制建筑施工在物化阶段作为通过混合计算可视化算法实现酒店低碳转型的催化剂。
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AI enhancing prefabricated aesthetics and low carbon coupled with 3D printing in chain hotel buildings from multidimensional neural networks.人工智能通过多维神经网络提升连锁酒店建筑中预制美学与低碳水平并结合3D打印技术。
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