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Nexus between running costs and building characteristics of commercial buildings: hedonic regression modelling

机译：商业建筑运行成本与建筑特征之间的Nexus：蜂窝回归建模

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Purpose - Traditionally, early-stage investment decisions on buildings purely based initial capital costs and simply ignored running costs and total lifecycle cost. This was basically due to the absence of estimating models that yield running costs at the early design stage. Often, when the design of a building, which is responsible for 10-15% of its total cost, is completed, 80% of the total cost is committed. This study aims to develop a building characteristic-based model, which is an early-stage determinant of running costs of buildings, to predict the running costs of commercial buildings. Design/methodology/approach - A desk study was carried out to collect running costs data and building characteristics of 35 commercial buildings in Sri Lanka. A Pareto analysis, bivariate correlation analysis and hedonic regression modelling were performed on collected data. Findings - According to Pareto analysis, utilities, services, admin work and cleaning are four main cost constituents, responsible for 80% of running costs, which can be represented by highly correlated building characteristics of building height, number of floors and size. Approximately 94% of the variance in annual running costs/sq. m is expressed by variables of number of floors, net floor area and working hours/day together with a mean prediction accuracy of 2.89%. Research limitations/implications - The study has utilised a sample of 35 commercial buildings due to non-availability and difficulty in accessing running cost data. Originality/value - Early-stage supportive running costs estimation model proposed by the study would enable construction professionals to benchmark the running costs and thereby optimise the building design. The developed hedonic model illustrated the variance of running costs concerning the changes in characteristics of a building.
机译：目的 - 传统上，对建筑物的早期投资决策纯粹基于初始资本成本，并简单地忽略了运行成本和总生命周期成本。这基本上是由于缺乏估计在早期设计阶段的运行成本的模型。通常，当建筑物的设计造成10-15％的总成本，完成总成本的80％。本研究旨在开发建筑特征的模型，该模型是建筑物运行成本的早期决定因素，以预测商业建筑的运行成本。设计/方法/方法 - 进行了一项桌面研究，以收集斯里兰卡35个商业建筑的运行成本数据和建筑特征。对收集的数据进行了帕累托分析，双相抗相关分析和啤酒学回归建模。调查结果 - 根据帕累托分析，公用事业，服务，管理工作和清洁是四个主要成本成分，负责80％的运行成本，可通过高度相关的建筑物高度，地板数和尺寸的尺寸来表示。年度运行成本的大约94％的差异/平方。 M由楼层数量，净地面和工作时间/日的变量表示，平均预测精度为2.89％。研究限制/含义 - 由于不可用性和访问运行成本数据，研究已经利用了35个商业建筑的样本。原创性/值 - 研究提出的早期支持运行成本估算模型将使建筑专业人员能够基准运行成本，从而优化建筑设计。发达的储层模型说明了关于建筑物的特征变化的运行成本的变化。

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