Issue |
MATEC Web Conf.
Volume 271, 2019
2019 Tran-SET Annual Conference
|
|
---|---|---|
Article Number | 08001 | |
Number of page(s) | 5 | |
Section | Pavements | |
DOI | https://doi.org/10.1051/matecconf/201927108001 | |
Published online | 09 April 2019 |
Development of a Conceptual Model for Accelerated Project Prioritization after Disaster Event
1
Department of Civil, Construction & Environmental Engineering, The University of New Mexico, Albuquerque, NM 87131
2
Bert S. Turner Department of Construction Management, Louisiana State University, Baton Rouge, LA 70803
* Corresponding author: chaowang@lsu.edu
There is a need for rapid and responsive infrastructure repair and construction after natural disaster events such as hurricanes, wildfires, and tornadoes. These natural disasters often shut down basic infrastructure systems, including roads, bridges, water supply, and power supply, as experienced recently in several Region 6 states as well as in other states around the country. Accelerated construction practices are often used in these situations to speed up the traditional, and often slow, project delivery process. However, after a natural disaster, several and different types of transportation infrastructure components are in need of inspection, rehabilitation or reconstruction, and transportation agencies are challenged with the task of prioritizing these accelerated projects. This paper studied the current practices and institutional barriers to identify the critical decision criteria and to develop a conceptual model for prioritizing needs for accelerated construction after disaster events, specifically hurricanes and flooding which commonly affect Region 6.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.