Large-scale parameterization of 3D building morphology in complex urban landscapes using aerial LiDAR and city administrative data
Large-scale parameterization of 3D building morphology in complex urban landscapes using aerial LiDAR and city administrative data
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DOI：
10.1016/j.compenvurbsys.2018.09.004
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发表时间：
2019-01-01
影响因子：
6.8
通讯作者：
Kontokosta, Constantine E.
中科院分区：
文献类型：
--
作者：
Bonczak, Bartosz;Kontokosta, Constantine E.
现代城市的形式和功能是由建筑环境的三维轮廓定义的。城市景观的形态对城市的可持续性、效率和复原力具有重大影响。随着遥感技术的进步，特别是机载光探测和测距（LiDAR）技术的进步，有可能以前所未有的空间分辨率和粒度对城市地形进行建模，并提取以前无法获得的单个建筑物的特征。在这项研究中，我们以纽约市及其超过 1,000,000 座建筑作为测试案例，演示了基于点的体素化技术的应用，以前所未有的规模提取复杂城市环境中的设计参数。我们开发了一个 1 m(2) 分辨率的数字表面模型 (DSM)，覆盖约 800 km(2) 的范围，该模型源自航空 LiDAR 点云数据以及城市行政记录，以计算城市中每座建筑的建筑体量、高度、体积、暴露表面积和紧凑度。所提出的可扩展方法为城市管理者、城市规划者、建筑工程师和建筑设计师创造了一个重要的机会，以了解城市形态与一系列基础设施和环境系统之间的关系。
The form and function of the modern city are defined by the three-dimensional contours of the built environment. The morphology of the urban landscape has significant implications for a city's sustainability, efficiency, and resilience. With advancements in remote sensing, especially airborne Light Detection and Ranging (LiDAR), the potential exists to model urban topography at an unprecedented spatial resolution and granularity and extract previously unavailable characteristics of individual buildings. In this study, we demonstrate the application of point-based voxelization techniques to extract design parameters in complex urban environments at unprecedented scale using New York City, and its more than 1,000,000 buildings, as a test case. Covering approximately 800 km(2), we develop a 1 m(2) resolution Digital Surface Model (DSM) derived from aerial LiDAR point cloud data, together with city administrative records, to calculate building massing, height, volume, exposed surface area, and compactness ratios for every building in the City. The proposed scalable approach creates a significant opportunity for city administrators, urban planners, architectural engineers, and building designers to understand the relationship between urban morphology and a range of infrastructure and environmental systems.