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Main Title: Optimization-based decision-making models for disaster recovery and reconstruction planning of transportation networks
Author(s): Zamanifar, Milad
Hartmann, Timo
Type: Article
Is Supplemented By: 10.14279/depositonce-9077
Language Code: en
Abstract: The purpose of this study is to analyze optimization-based decision-making models for the problem of Disaster Recovery Planning of Transportation Networks (DRPTN). In the past three decades, seminal optimization problems have been structured and solved for the critical and sensitive problem of DRPTN. The extent of our knowledge on the practicality of the methods and performance of results is however limited. To evaluate the applicability of those context-sensitive models in real-world situations, there is a need to examine the conceptual and technical structure behind the existing body of work. To this end, this paper performs a systematic search targeting DRPTN publications. Thereafter, we review the identified literature based on the four phases of the optimization-based decision-making modeling process as problem definition, problem formulation, problem-solving, and model validation. Then, through content analysis and descriptive statistics, we investigate the methodology of studies within each of these phases. Eventually, we detect and discuss four research improvement areas as [1] developing conceptual or systematic decision support in the selection of decision attributes and problem structuring, [2] integrating recovery problems with traffic management models, [3] avoiding uncertainty due to the type of solving algorithms, and [4] reducing subjectivity in the validation process of disaster recovery models. Finally, we provide suggestions as well as possible directions for future research.
URI: https://depositonce.tu-berlin.de/handle/11303/11134.2
http://dx.doi.org/10.14279/depositonce-10025.2
Issue Date: 26-Jul-2020
Date Available: 29-Jul-2020
DDC Class: 600 Technik, Technologie
Subject(s): disaster
recovery
reconstruction
transportation network
optimization
Sponsor/Funder: TU Berlin, Open-Access-Mittel - 2020
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Natural Hazards
Publisher: Springer
Publisher Place: Dordrecht [u.a.]
Publisher DOI: 10.1007/s11069-020-04192-5
EISSN: 1573-0840
ISSN: 0921-030X
Appears in Collections:FG Systemtechnik baulicher Anlagen » Publications

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2 10.14279/depositonce-10025.2 2020-07-29 12:06:01.171 published article
1 10.14279/depositonce-10025 2020-05-18 16:35:05.0
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