A parametric model of residential built form for forecasting the viability of sustainable technologies
A parametric model of residential built form for forecasting the viability of sustainable technologies
复制标题
用于预测可持续技术可行性的住宅建筑形式参数模型
DOI：
10.1016/j.scs.2021.102829
复制
发表时间：
2021
影响因子：
11.7
通讯作者：
Anthony J. Hargreaves
中科院分区：
文献类型：
--
作者：
Anthony J. Hargreaves
可再生能源供应系统，如雨水收集和地源热泵，有可能提高住宅区的可持续性和复原力。然而，它们的可行性部分取决于住宅的尺寸和地块面积，并且缺乏为未来城市发展建立模型的适当方法。因此，本文校准和验证了一种建模方法，如何样地面积和足迹的住宅将在大小上有所不同。它的输入是一个地区内每种地区类型的住宅总数及其平均密度。因此，它可以完成从区域到地方规模的城市建模链，以测试空间规划方案。结果表明，该模型的校准是可转移的空间尺度和英国地区之间，并对详细的GIS数据的结果进行了验证。然后，它被开发成一个新的参数模型，以估计建成的形式将如何影响可再生能源供应系统的未来潜力，这是证明雨水收集作为一个例子。它提供了在地区范围内的节水估计数，比使用每个住宅类型的离散平均尺寸的通常方法更可靠。
Renewable supply systems, such as rainwater harvesting and ground source heat pumps, have the potential to improve the sustainability and resilience of residential areas. However, their feasibility partly depends on the dimensions and plot areas of the dwellings, and there has been a lack of a suitable method of modelling these for future urban development. This paper therefore calibrates and validates a method of modelling how the plot areas and footprints of dwellings would vary in size. Its inputs are the total dwellings and their average density for each area type within a district. It could thereby complete a chain of urban modelling from regional to local scale for testing spatial planning scenarios. The results show that the calibration of the model is transferable between spatial scales and UK regions, and the results are validated against detailed GIS data. It is then developed into a novel parametric model to estimate how built form will affect the future potential of renewable supply systems, and this is demonstrated using rainwater harvesting as an example. It provides estimates of water-savings at district scale that are more reliable than the usual method of using discrete average dimensions per dwelling type.
DOI：
10.1016/j.envsoft.2011.04.005
发表时间：
2011-10
期刊：
Environ. Model. Softw.
影响因子：
--
作者：
V. Cheng;K. Steemers
通讯作者：
V. Cheng;K. Steemers
用于减缓和适应气候变化规划的土地利用交通模型
影响因子：
1.9
作者：
Ford A
通讯作者：
Ford A