State Highway Agencies (SHAs) are being forced to focus more on rehabilitation,
resurfacing, and reconstruction of existing roadways rather than the construction of new
facilities. These activities can create several challenges when they must be conducted on
roadways with high traffic volumes. This research identified numerous strategies that
can be implemented by SHAs that have the potential to influence the overall success of
roadway projects with high traffic volumes. This research also created a framework for
when to implement these different strategies. These strategies were identified through
an in-depth literature review and through case studies conducted on highway projects
that were under construction. Through the case studies the different strategies were
documented within the context that warranted their use. Information from the case
studies was collected and documented through interviews and site visits. The strategies
identified through this research were used to create four matrices that summarize the
research findings. A general matrix was created to show the motivating project
conditions that warrant the use of each strategy. A public relations matrix was created to
display the influence the impacted road user groups have on public relations and
information strategies. A traffic management matrix was created to show different types
of traffic management strategies and the potential impact they will have on the project.
Finally, an interdependency matrix was created to show groups of strategies that are
related to each other or require the use of other strategies to be able to influence the
success of the project. These matrices could be further developed to create a set of
guidelines that could be used by a SHA during the planning phases of a roadway project.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/3821 |
| Date | 16 August 2006 |
| Creators | Chabannes, Clayton C. |
| Contributors | Anderson, Stuart D. |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | 8590439 bytes, electronic, application/octet-stream, born digital |
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