...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Computers，environment and urban systems >Representing the dwelling stock as 3D generic tiles estimated from average residential density
【24h】

Representing the dwelling stock as 3D generic tiles estimated from average residential density

机译：将住宅库存表示为根据平均住宅密度估算的3D通用瓷砖

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Forecasting the variability of dwellings and residential land is important for estimating the future potential of environmental technologies. This paper presents an innovative method of converting average residential density into a set of one-hectare 3D tiles to represent the dwelling stock. These generic tiles include residential land as well as the dwelling characteristics. The method was based on a detailed analysis of the English House Condition Survey data and density was calculated as the inverse of the plot area per dwelling. This found that when disaggregated by age band, urban morphology and area type, the frequency distribution of plot density per dwelling type can be represented by the gamma distribution. The shape parameter revealed interesting characteristics about the dwelling stock and how this has changed overtime. It showed a consistent trend that older dwellings have greater variability in plot density than newer dwellings, and also that apartments and detached dwellings have greater variability in plot density than terraced and semi-detached dwellings, Once calibrated, the shape parameter of the gamma distribution was used to convert the average density per housing type into a frequency distribution of plot density. These were then approximated by systematically selecting a set of generic tiles. These tiles are particularly useful as a medium for multidisciplinary research on decentralized environmental technologies or climate adaptation, which requires this understanding of the variability of dwellings, occupancies and urban space. It thereby links the socioeconomic modeling of city regions with the physical modeling of dwellings and associated infrastructure across the spatial scales. The tiles method has been validated by comparing results against English regional housing survey data and dwelling footprint area data. The next step would be to explore the possibility of generating generic residential area types and adapt the method to other countries that have similar housing survey data. (C) 2015 The Author. Published by Elsevier Ltd.
机译：预测住宅和住宅用地的可变性对于估计环境技术的未来潜力很重要。本文提出了一种创新的方法，可以将平均住宅密度转换为一组一公顷的3D瓷砖，以代表住宅。这些通用瓷砖包括住宅用地以及住宅特征。该方法基于对英国房屋状况调查数据的详细分析，并以每户住宅地块面积的倒数计算密度。结果发现，按年龄段，城市形态和地区类型进行分类时，每种住房类型的地块密度的频率分布可以用伽马分布表示。形状参数揭示了有关住宅的有趣特征，以及住宅如何随时间变化。它显示出一个一致的趋势，即较新的住宅，较老的住宅在样地密度上具有更大的可变性，并且与梯形和半独立式住宅相比，公寓和独立式住宅在样地密度上具有更大的可变性。用于将每种房屋类型的平均密度转换为小区密度的频率分布。然后，通过系统地选择一组通用图块来近似这些值。这些瓷砖作为分散式环境技术或气候适应的多学科研究的媒介特别有用，这需要对住宅，居住和城市空间的可变性有这种了解。因此，它将城市区域的社会经济模型与房屋和相关基础设施的物理模型在整个空间尺度上联系起来。通过将结果与英国区域住房调查数据和住宅占地面积数据进行比较，验证了平铺方法。下一步将探讨产生通用居住区类型的可能性，并使该方法适用于拥有类似住房调查数据的其他国家。 （C）2015作者。由Elsevier Ltd.发布

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号