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A computational model for accommodating spatial uncertainty: Predicting inhabitation patterns in open-planned spaces

机译：适应空间不确定性的计算模型：预测开放式空间中的居住模式

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摘要

In the past, a range of computational models have been developed for analysing the social implications of spatial patterns and types. While such models are typically focussed on macro-patterns, often in cellular or linearly-organised spaces, few models exist for predicting where people will cluster within complex environments. One reason for this relates to the inherent uncertainty associated with spatial attributes and consequently of human spatial behaviours. The present paper draws on the concept of fuzzy spatial objects to develop an approach to handle such uncertainty in architecture. Focussing on large, open plan spaces, where the configuration of space does not define strict patterns of usage, the paper proposes a computational model for predicting patterns of spatial inhabitation. This new model relies on the theory of fuzzy sets to propose the existence of a "fuzzy architectural spatial object, (FASO)" which is comprised of spatial units with degrees of membership that reflect the possibility of a person being present in a sub-space or involved in a sub-function within a larger space. This model calculates and visualises the FASOs using a fuzzy inference engine and represents the space as distributed possibilities of presence according to the given data. After describing the model the paper demonstrates its application in the prediction of patterns of usage within a major exhibition space, and then presents a check of the efficacy of this prediction against the actual inhabitation of the space.
机译：过去，已经开发了一系列计算模型来分析空间模式和类型的社会含义。尽管此类模型通常集中于宏观模式，通常是在蜂窝或线性组织的空间中，但很少有模型可以预测人们在复杂环境中的聚集位置。原因之一是与空间属性有关的固有不确定性，因此与人类空间行为有关。本文利用模糊空间对象的概念来开发一种处理这种不确定性的方法。着眼于大型的开放式空间，其中空间的配置没有定义严格的使用模式，本文提出了一种用于预测空间居住模式的计算模型。这个新模型基于模糊集的理论来提出“模糊建筑空间对象（FASO）”的存在，该对象由具有隶属度的空间单元组成，这些成员反映了一个人存在于子空间中的可能性或涉及更大空间中的子功能。该模型使用模糊推理引擎计算和可视化FASO，并根据给定数据将空间表示为存在的分布式可能性。在描述了模型之后，论文展示了其在主要展览空间内使用模式的预测中的应用，然后提出了针对空间实际居住情况的这种预测效果的检验。

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  • 来源
    《Building and Environment》 |2014年第3期|115-126|共12页
  • 作者

    Asli Cekmis; Isil Hacihasanoglu; Michael J. Ostwald;

  • 作者单位

    Istanbul Technical University, Department of Architecture, Faculty of Architecture, Taskisla, Taksim, Istanbul 34437, Turkey;

    Istanbul Technical University, Department of Architecture, Faculty of Architecture, Taskisla, Taksim, Istanbul 34437, Turkey;

    University of Newcastle, School of Architecture and Built Environment, Faculty of Engineering and Built Environment, Callaghan, New South Wales 2308, Australia;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Fuzzy logic; Fuzzy set; Spatial uncertainty; Occupancy prediction; Open-planned spaces;

    机译：模糊逻辑;模糊集;空间不确定性;占用预测;开放式空间;

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