In urban planning, a common unit of measure for housing density is the number of households per hectare. However, the actual size of the physical space occupied by a household, i.e., a dwelling, is seldom considered, neither in 2D nor in 3D. This article proposes a methodology to estimate the average size of a dwelling in existing urban areas from available open data, and to use it as one of the design parameters for new urban-development projects. The proposed unit of measure, called “living space”, includes outdoor and indoor spaces. The idea is to quantitatively analyze the city of today to help design the city of tomorrow. First, the “typical”-dwelling size and a series of Key Performance Indicators are computed for all neighborhoods from a semantic 3D city model and other spatial and non-spatial datasets. A limited number of neighborhoods is selected based on their similarities with the envisioned development plan. The size of the living space of the selected neighborhoods is successively used as a design parameter to support the computer-assisted generation of several design proposals. Each proposal can be exported, shared, and visualized online. As a test case, a to-be-planned neighborhood in Amsterdam, called “Sloterdijk One”, has been chosen.

中文翻译：

---

来自……的明天之城

在城市规划中，住房密度的一个常见度量单位是每公顷家庭数。但是，无论是在2D中还是在3D中，都很少考虑住户（即住宅）所占用的物​​理空间的实际大小。本文提出了一种方法，可根据可用的公开数据估算现有城市区域的平均住房规模，并将其用作新的城市开发项目的设计参数之一。拟议的计量单位称为“居住空间”，包括室外和室内空间。这个想法是定量分析今天的城市，以帮助设计明天的城市。首先，根据语义3D城市模型以及其他空间和非空间数据集，为所有邻域计算“典型”住宅规模和一系列关键绩效指标。根据与预期的开发计划的相似性，选择了数量有限的社区。所选邻域的居住空间的大小依次用作设计参数，以支持计算机辅助生成多个设计方案。每个建议都可以在线导出，共享和可视化。作为测试用例，已选择了阿姆斯特丹一个待规划的社区，称为“ Sloterdijk One”。