EconPapers    
Economics at your fingertips  
 

Green port oriented resilience improvement for traffic-power coupled networks

Lu Zhen, Shumin Lin and Chenhao Zhou

Reliability Engineering and System Safety, 2022, vol. 225, issue C

Abstract: Under the green ports initiative, port operations rely more on electric power. However, the power system is vulnerable to disruptions. Its ability to resist disruption seriously affects port resilience, which is related to the port operation’s level and performance. To maintain a resilient port, its infrastructure needs to be well designed and coordinated to prevent or reduce losses from disruptions. Therefore, some policies are proposed to improve port resilience under various disruption scenarios by focusing on the traffic-electric power coupled system and optimizing the planning level and operational level decisions. A two-stage, stochastic, and nonlinear mathematical programming model is established to model systems’ interaction and describe the impacts of preparedness and recovery actions with the objective of maximizing port resilience under a certain budget. The experimental results show that the improved coupled system can greatly improve the port resilience. In addition, the resilience of the port can also be improved by optimizing the investment in the power network and the equipment scheduling in the container transportation network. Some forward-looking managerial implications have been revealed.

Keywords: Port resilience policies; Resilience analysis; Disruption-related resilience; Traffic-power coupled network; Optimization approach (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832022002162
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:225:y:2022:i:c:s0951832022002162

DOI: 10.1016/j.ress.2022.108569

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:reensy:v:225:y:2022:i:c:s0951832022002162