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Impact of System Expansion on Maintenance Resources.

File Language:
English


Details

  • Creators:
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  • Publication/ Report Number:
  • Resource Type:
  • Corporate Publisher:
  • NTL Classification:
    NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION
  • Abstract:
    The basic focus of this research project is developing a marginal maintenance cost mechanism for new construction projects. This mechanism will identify the total expected short-term and long-term maintenance burden required for each construction project. The Nevada Department of Transportation's (NDOT’s) short-term and long-term maintenance schedule has been specified. There is one life cycle segment for the roads in Category 1, and three segments for the roads in Category 2. Linear regression models were developed to estimate the annual maintenance costs broken down into man power, materials, equipment and stockpile for each of the segments in the life cycle in all the categories. In this study, the following steps were followed: a literature review on estimating maintenance costs, a survey with state DOTs other than NDOT was conducted on the practice for estimating maintenance costs, data were collected, and linear regression models were developed for estimating annual maintenance costs. This report consists of seven chapters. The first chapter provides an introduction on the background and objective of the study. In the second chapter, a literature review is presented. The third chapter describes the survey conducted with other state DOTs. The fourth chapter presents a methodology for developing linear regression models. Chapter 5 provides a detailed description of the data collection process. Chapter 6 describes the development of the linear regression models to estimate annual maintenance costs. Finally, Chapter 7 summarizes the development of the models and identifies the research needed in the future.
  • Format:
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  • Main Document Checksum:
    urn:sha256:4bae95fc0fc77f4cadd2b9a9301546ae832b6f13d6e41879807ad7e2a7a34243
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  • File Type:
    Filetype[PDF - 3.93 MB ]
File Language:
English
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