Integrating GIS-Based Point of Interest and Community Boundary Datasets for Urban Building Energy Modeling
Integrating GIS-Based Point of Interest and Community Boundary Datasets for Urban Building Energy Modeling
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集成基于 GIS 的兴趣点和社区边界数据集进行城市建筑能源建模
DOI：
10.3390/en14041049
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发表时间：
2021-02
期刊：
影响因子：
3.2
通讯作者：
Yang Jingjing
中科院分区：
文献类型：
--
作者：
Deng Zhang;Chen Yixing;Pan Xiao;Peng Zhiwen;Yang Jingjing
城市建筑能耗建模正引起人们对建筑能耗建模的兴趣，而建筑能耗建模需要大量的建筑数据作为输入。建筑用途是UBEM推断原型建筑的关键参数。结合基于地理信息系统(GIS)的兴趣点(POI)和社区边界数据集，对城市规模建筑物的建筑用途进行了实例研究。中国，共收集了68,966个建筑足迹，281,767个POI数据，3,367个社区边界。当建筑物位于社区边界(即，医院或住宅区边界)内或建筑物包含具有主要属性的POI数据(即，酒店或办公楼)时，确定主要建筑物用途。为了更好地评价建筑的节能性能，采用了聚类分析方法将建筑划分为多个子类型。该方法在68,966个建筑足迹中成功识别了47,428个建筑用途，包括34,401个住宅建筑、1039个写字楼、141个购物中心和932个酒店。对市中心7895栋建筑进行了验证，总体准确率为86%。利用POI和社区边界数据集确定的信息，对市中心243栋写字楼进行了UBEM案例研究。本文提出的建筑物用途确定方法可以方便地应用于其他城市。我们将结合历史航空影像，确定未来大型建筑的建设年份。
Urban building energy modeling (UBEM) is arousing interest in building energy modeling, which requires a large building dataset as an input. Building use is a critical parameter to infer archetype buildings for UBEM. This paper presented a case study to determine building use for city-scale buildings by integrating the Geographic Information System (GIS) based point-of-interest (POI) and community boundary datasets. A total of 68,966 building footprints, 281,767 POI data, and 3367 community boundaries were collected for Changsha, China. The primary building use was determined when a building was inside a community boundary (i.e., hospital or residential boundary) or the building contained POI data with main attributes (i.e., hotel or office building). Clustering analysis was used to divide buildings into sub-types for better energy performance evaluation. The method successfully identified building uses for 47,428 buildings among 68,966 building footprints, including 34,401 residential buildings, 1039 office buildings, 141 shopping malls, and 932 hotels. A validation process was carried out for 7895 buildings in the downtown area, which showed an overall accuracy rate of 86%. A UBEM case study for 243 office buildings in the downtown area was developed with the information identified from the POI and community boundary datasets. The proposed building use determination method can be easily applied to other cities. We will integrate the historical aerial imagery to determine the year of construction for a large scale of buildings in the future.
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影响因子：
5.5
作者：
Mingyang Qian;D. Yan;Hua Liu;U. Berardi;Ye Liu
通讯作者：
Mingyang Qian;D. Yan;Hua Liu;U. Berardi;Ye Liu
影响因子：
7.4
作者：
Chao Wang;Yue Wu;Xing Shi;Yanxia Li;Sijie Zhu;Xing Jin;Xin Zhou
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Chao Wang;Yue Wu;Xing Shi;Yanxia Li;Sijie Zhu;Xing Jin;Xin Zhou
DOI：
--
发表时间：
2013-11
期刊：
ArXiv
影响因子：
--
作者：
Ying Long;Xingjian Liu
通讯作者：
Ying Long;Xingjian Liu
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影响因子：
3.4
作者：
Hu, Shougeng;Wang, Le
通讯作者：
Wang, Le
DOI：
10.26868/25222708.2019.210346
发表时间：
2020
期刊：
--
影响因子：
--
作者：
E. Lucchi;V. D’Alonzo;D. Exner;P. Zambelli;G. Garegnani
通讯作者：
E. Lucchi;V. D’Alonzo;D. Exner;P. Zambelli;G. Garegnani