HCCTP News
Author :
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Page : pages
File Size : 18,3 MB
Release : 2017
Category : Engineering
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Author :
Publisher :
Page : pages
File Size : 18,3 MB
Release : 2017
Category : Engineering
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Author : United States. Congress. House. Committee on Public Works. Subcommittee on Roads
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Page : 70 pages
File Size : 40,38 MB
Release : 1962
Category : Highway planning
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Committee Serial No. 87-17. Considers H.J. Res. 572, to authorize Commerce Dept to assist with the study and survey for improving highway construction in Alaska.
Author : Maryland. State Planning Commission
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Page : 5 pages
File Size : 24,30 MB
Release : 1935
Category : Roads
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Author : United States. Congress. House. Committee on Public Works. Special Subcommittee on the Federal-Aid Highway Program
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Page : 768 pages
File Size : 44,22 MB
Release : 1965
Category : Roads
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Committee Serial No. 89-10. Investigates Federal Aid Highway Program administration in Louisiana including allegations of mismanagement.
Author : United States. Federal Highway Administration
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Page : 32 pages
File Size : 42,43 MB
Release : 1975
Category : Highway engineers
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Author :
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Page : 814 pages
File Size : 10,97 MB
Release : 1926
Category : Highway engineering
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Author : National Research Council (U.S.). Highway Research Board
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Page : 220 pages
File Size : 28,31 MB
Release : 1961
Category : Roads
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Author : United States. Congress. House. Committee on Public Works
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Page : 694 pages
File Size : 41,41 MB
Release : 1961
Category : Governmental investigations
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Author : Oregon. Department of Transportation
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Page : 3 pages
File Size : 43,34 MB
Release : 2000*
Category : Affirmative action programs
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Author : Timothy R. B. Taylor
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Page : 92 pages
File Size : 14,33 MB
Release : 2013
Category : Business & Economics
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"Adequate construction staffing is critical for performance of highway construction projects. The variable nature of these projects, however, can make it difficult to estimate construction staff requirements for both the short and long term. This study gathered information on the methods being used at highway transportation agencies to forecast staffing requirements. These methods are diverse and range from simple heuristics based on generic project types to multi-variate regression models developed from historical project data. Information for this study was acquired through a literature review, surveys of state transportation agencies, and site visits to non-state agencies. Timothy R.B. Taylor and William F. Maloney, University of Kentucky Department of Civil Engineering, Lexington, Kentucky, collected and synthesized the information and wrote the report. The members of the topic panel are acknowledged on the preceding page. This synthesis is an immediately useful document that records the practices that were acceptable with the limitations of the knowledge available at the time of its preparation. As progress in research and practice continues, new knowledge will be added to that now at hand"--Preface.