Predesign Cost Estimating Method for Multistory Buildings

Karshenas, Saeed

doi:10.1061/(asce)0733-9364(1984)110:1(79)

Cited by 41 publications

(17 citation statements)

References 1 publication

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“…Brandon (1978) proposed using a building shape index, the number of storeys, the inner division of the building area coefficient, the average height of the storey, the coefficient specifying the percentage of the glass area and the compactness of the block. Karshenas (1984) added one more factor to these given by Brandon, namely the area of the construction site. Swaffield and Pasquire (1996) suggested the following: the percentage of the glass area, the length of the building perimeter, the building's total height, the volume measure of the rooms and technical corridors, the volume measure of the area used up by heating systems, ventilation and air conditioning.…”

Section: Methods Of Evaluating the Degree Of Building Complexitymentioning

confidence: 99%

Analysis of the building shape erected in Krakow and its impact on construction costs

Zima¹,

Plebankiewicz²

2012

OTMCJ

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Section: Methods Of Evaluating the Degree Of Building Complexitymentioning

confidence: 99%

Analysis of the building shape erected in Krakow and its impact on construction costs

Zima¹,

Plebankiewicz²

2012

OTMCJ

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“…If the expected information cannot be got in the output layer, the course will turn into the back-propagation and return the error signal along the former connection path. Altering the connection weight between each layer, the error signal is transmitted orderly to the input layer, and then passes the propagation course (Karshenas et al, 2004;An et al, 2007). The repeated application of these two courses makes the error become smaller and smaller, until it meets the error demand.…”

Section: Bp Neural Network Predictionmentioning

confidence: 99%

Application of Composite Fuzzy Neural Network Theory in Construction Engineering Cost

2016

Revista de la Facultad de Ingeniería

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To estimate construction engineering cost rapidly and accurately is very important for construction enterprises. Traditional methods use construction quota to calculate building cost, which need too much manual labor and time but can't satisfy the demand of enterprises. Because the cost of civil engineering in China need to controlled dynamic. In this paper, on the foundation of information of construction cost estimation, fuzzy mathematical method is utilized to deal with the factors which affect the construction engineering cost, neural network's method is introduced, then the fuzzy neural network estimation model was put forward. An example shows that using the methods to estimate the cost of construction is convenient, quickly and accurately, and the model have high value in practice.

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“…It was first used to model building prices for offices [2][3][4][5][6], schools [7], houses [8][9][10], homes for old people [11], lifts [12], electrical services [12], motorway drainage [13] and a few other types of building [14]. It was then used to model the prices of reinforced concrete frames [15,16] and building services [17].…”

Section: Major Directions Of Model Developmentmentioning

confidence: 99%

Application of cross validation techniques for modelling construction costs during the very early design stage

Cheung

Skitmore

2006

Building and Environment

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Building client/owners need estimates of likely construction costs for budgeting purposes early in the procurement process when little detailed design information is available beyond the type, size and location of the facility. One of the more sophisticated techniques available for this purpose is the storey enclosure method, developed by James in 1954. This uses the basic physical measurements of the building envelope, together with an arbitrary set of multipliers, or weights, to forecast tender/bid prices. Although seldom used in practice, James succeeded in showing his method to be capable of significantly outperforming alternative approaches.The research reported in this paper aimed firstly to reassess James' claims with new data and secondly to advance his method by using regression techniques to obtain the weights involved. Based on data from 138 completed Hong Kong projects for four types of building, two types of regression models were developed. This involved the use of sophisticated features such as leave-one-out cross validation to simulate the way in which forecasts are produced in practice and a dual stepwise selection strategy that enhances the chance of identifying the best model. An algorithm was also designed to select the appropriate parametric and non-parametric tests for objective and rigorous model evaluation against alternatives.The results indicate that, contrary to James' claim, both his original method and the two regression-based alternatives are not significantly better or worse than other models. Surprisingly, the widely used floor area model was found to under-perform in terms of consistency for offices and private housing. For private housing in particular, it was felt that the storey enclosure method was likely to offer good prospects of improvement on those methods currently in use in practice. r

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Predesign Cost Estimating Method for Multistory Buildings

Cited by 41 publications

References 1 publication

Analysis of the building shape erected in Krakow and its impact on construction costs

Analysis of the building shape erected in Krakow and its impact on construction costs

Application of Composite Fuzzy Neural Network Theory in Construction Engineering Cost

Application of cross validation techniques for modelling construction costs during the very early design stage

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