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Estimating Location-Adjustment Factors for Conceptual Cost Estimating Based on Nighttime Light Satellite Imagery
- Source :
- Journal of Construction Engineering and Management. 143
- Publication Year :
- 2017
- Publisher :
- American Society of Civil Engineers (ASCE), 2017.
-
Abstract
- A fundamental process in construction cost estimation is the appropriate adjustment of costs to reflect project location. Unfortunately, location adjustment factors are not available for all locations. To overcome this lack of data, cost estimators in the United States often use adjustment factors from adjacent locations, referred to as the nearest neighbor (NN) method. However, these adjacent locations may not have similar economic conditions, which limit the accuracy of the NN method. This research proposes a new method of using nighttime light satellite imagery (NLSI) to estimate location adjustment factors where they do not exist. The NLSI method for estimating location adjustment factors was evaluated against an established cost index database, and results show that NLSI can be used to effectively estimate location adjustment factors. When compared with NN and other alternative proximity-based location adjustment methods, the proposed NLSI method leads to a 25–40% reduction of the median abso...
- Subjects :
- Estimation
Construction management
010504 meteorology & atmospheric sciences
Cost estimate
Computer science
Strategy and Management
0211 other engineering and technologies
Process (computing)
Estimator
02 engineering and technology
Building and Construction
computer.software_genre
01 natural sciences
Reduction (complexity)
021105 building & construction
Industrial relations
Satellite imagery
Limit (mathematics)
Data mining
computer
0105 earth and related environmental sciences
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 19437862 and 07339364
- Volume :
- 143
- Database :
- OpenAIRE
- Journal :
- Journal of Construction Engineering and Management
- Accession number :
- edsair.doi...........b4b916fd6a4017c32a83e04867680ba8
- Full Text :
- https://doi.org/10.1061/(asce)co.1943-7862.0001216