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Predicting Light Rail and Metro Trackworks Costs

Murat Gündüz

ISBN 10: 3639164040 / ISBN 13: 9783639164046
Published by VDM Verlag
New Condition: New Soft cover
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About this Item

96 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.The main objective of this book is to develop models using multivariable regression and artificial neural network approaches for cost estimation of the construction costs of trackworks of light rail transit and metro projects at the early stages of the construction process. These two approaches were applied to a data set of 16 projects by using seventeen parameters available at the early design phase. According to the results of each method, regression analysis estimated the cost of testing samples with an error of 2. 32. On the other hand, artificial neural network estimated the cost with 5. 76 error, which is slightly higher than the regression error. As a result, two successful cost estimation models have been developed within the scope of this study. These models can be beneficial while taking the decision in the tender phase of projects that includes trackworks. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783639164046

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Bibliographic Details

Title: Predicting Light Rail and Metro Trackworks ...

Publisher: VDM Verlag

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title

Synopsis:

The main objective of this book is to develop models using multivariable regression and artificial neural network approaches for cost estimation of the construction costs of trackworks of light rail transit and metro projects at the early stages of the construction process. These two approaches were applied to a data set of 16 projects by using seventeen parameters available at the early design phase. According to the results of each method, regression analysis estimated the cost of testing samples with an error of 2.32%. On the other hand, artificial neural network estimated the cost with 5.76% error, which is slightly higher than the regression error. As a result, two successful cost estimation models have been developed within the scope of this study. These models can be beneficial while taking the decision in the tender phase of projects that includes trackworks.

About the Author:

Murat Gndz is an associate professor of Middle East Technical University. His interests include construction productivity, construction safety management and statistical quality control. Erhan ztk currently works as a civil engineer in a private construction company.

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