contributor author | James H. Lambert | |
contributor author | Clare E. Patterson | |
date accessioned | 2017-05-08T21:21:15Z | |
date available | 2017-05-08T21:21:15Z | |
date copyright | September 2002 | |
date issued | 2002 | |
identifier other | %28asce%291076-0342%282002%298%3A3%28103%29.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/48160 | |
description abstract | A transportation agency must consider the efficiency of its hurricane preparedness, response, and recovery operations. This paper develops and demonstrates a methodology to identify and characterize the schedule dependencies and subsequent delays that arise among federal, state, and local agencies and organizations involved in the pre and posthurricane processes in order to reduce the time for a region to recover from a natural disaster. The large scale of an agency’s overall recovery from a natural disaster presents a challenge to conventional scheduling models, including program evaluation and review technique and critical-path methods. A metanalysis to support agency resource allocation is thus developed as follows. Instances of schedule dependencies from past recoveries are collected and categorized according to the functional and organizational units of the agency. A categorical study is performed to highlight the functional units that are associated with the greater numbers of dependencies. The agency better understands which units need attention and which interfaces among units need improved coordination. The results of an example show that the interfaces of the | |
publisher | American Society of Civil Engineers | |
title | Prioritization of Schedule Dependencies in Hurricane Recovery of Transportation Agency | |
type | Journal Paper | |
journal volume | 8 | |
journal issue | 3 | |
journal title | Journal of Infrastructure Systems | |
identifier doi | 10.1061/(ASCE)1076-0342(2002)8:3(103) | |
tree | Journal of Infrastructure Systems:;2002:;Volume ( 008 ):;issue: 003 | |
contenttype | Fulltext | |