Automated Generation of Customized Field Data Collection Templates to Support Information Needs of Cost Estimators

Date

2010-03-01

Author

Kiziltas, Semiha
Akinci, Burcu

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While estimating activity production rates, cost estimators rely on historical production rates. To have realistic and useful cost estimates based on historical production rates, such production rate data should be augmented with historical contextual information that depict conditions under which activity production rates were achieved in past projects. This information is needed in determining which production rate to use among alternates for a similar activity existing in a new bid. Estimators need contextual information especially when they are unfamiliar with the work being estimated. Hence, such information items need to be identified, collected, and stored for estimators' use in new projects. This paper details a construction-method specific and an extensible approach that is developed for enabling cost estimators to define contextual information items that need to be collected on job sites and stored as part of project histories. Based on this approach, the writers implemented a prototype system, called as ContextGen, and performed user-tests with estimators with different experience levels. Results showed that the developed approach captures method-specific information needs of estimators and is extensible to incorporate new contextual information items that can have different data representations. The developed approach is also precise in retrieving contextual information items specific to a construction method from a set of predefined contextual information items available in a library.

Subject Keywords

Civil and Structural Engineering, Computer Science Applications

URI

https://hdl.handle.net/11511/65597

Journal

JOURNAL OF COMPUTING IN CIVIL ENGINEERING

DOI

https://doi.org/10.1061/(asce)cp.1943-5487.0000017

Collections

Department of Civil Engineering, Article

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Citation Formats

S. Kiziltas and B. Akinci, “Automated Generation of Customized Field Data Collection Templates to Support Information Needs of Cost Estimators,” JOURNAL OF COMPUTING IN CIVIL ENGINEERING, pp. 129–139, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65597.