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The evaluation model of reconstruction effect of ancient villages under the influence of epidemic situation based on big data

机译:基于大数据的疫情影响下古村重建效应的评价模型

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摘要

In rural construction, affected by covid-19, it leads to the collection and demand survey of basic information data of relevant interest groups. The specific situation of the transformation of ancient villages is also gradually increasing. However, due to the complexity of rural space, the dispersion of settlement space and the diversity of information demand of rural planning work, the data coverage is large, information acquisition is difficult, the use effect of data collection is not ideal, and there is no planning feedback mechanism. However, during the epidemic period, the staff could not carry out a series of reconstruction of ancient villages. At present, the data of village planning and construction and architectural design are complex, the needs of relevant interest groups are diversified, and regional planning is difficult. In this paper, the big data function is applied to the reconstruction of ancient villages in the epidemic period of covid-19.
机译:农村建设受2019冠状病毒疾病影响,导致相关利益群体基本信息数据的收集和需求调查。古村落改造的具体情况也逐渐增多。然而,由于农村空间的复杂性、聚落空间的分散性和农村规划工作信息需求的多样性,数据覆盖率大,信息采集困难,数据采集的使用效果不理想,没有规划反馈机制。然而,在疫情期间,工作人员无法对古村落进行一系列重建。目前,村庄规划建设和建筑设计数据复杂,相关利益群体需求多样化,区域规划难度大。2019冠状病毒疾病流行时期,大数据函数应用于古村落重建。

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