Developing Spatio-Temporal Models for Retrofit and Reconstruction Strategy Under Unscheduled Events
Lee, Jong Sung
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/79541
Description
Title
Developing Spatio-Temporal Models for Retrofit and Reconstruction Strategy Under Unscheduled Events
Author(s)
Lee, Jong Sung
Issue Date
2005
Doctoral Committee Chair(s)
Kim, Tschangho John
Department of Study
Urban and Regional Planning
Discipline
Urban and Regional Planning
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Civil
Language
eng
Abstract
The third paper is about the implementation of a spatio-temporal model to develop an infrastructure reconstruction strategy under unscheduled events. The reconstruction strategy chosen to repair damaged transportation network infrastructure after an unscheduled event is important to return the disrupted economy to pre-event status. Moreover, the strategy chosen determines how fast the national economy will recover. The optimal sequence or priority for reconstruction of damaged links needs to be developed in order to quickly restore the economy. This paper proposes and implements the framework for finding the optimal reconstruction strategy by using STAM-2 and a genetic algorithm.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
