Towards Performance Prediction for Public Infrastructure Clouds: An EC2 Case Study

2013 ◽  
Author(s):  
John OLoughlin ◽  
Lee Gillam
Keyword(s):  
Performance Prediction ◽  
Public Infrastructure

Structural Identification for Performance Prediction Considering Uncertainties: Case Study of a Movable Bridge

2013 ◽  
Vol 139 (10) ◽  
pp. 1703-1715 ◽  
Author(s):  
Hasan Burak Gokce ◽  
F. Necati Catbas ◽  
Mustafa Gul ◽  
Dan M. Frangopol
Keyword(s):  
Performance Prediction ◽  
Structural Identification ◽  
Movable Bridge

Asset Recycling for Social Infrastructure in the United States

2020 ◽  
Vol 25 (3) ◽  
pp. 281-297 ◽  
Author(s):  
Carter B. Casady ◽  
R. Richard Geddes
Keyword(s):  
United States ◽  
Life Cycle ◽  
The United States ◽  
Social Infrastructure ◽  
Public Infrastructure ◽  
Planning Program ◽  
Academic Literature ◽  
Maximum Value ◽  
Capital Planning

Asset recycling (AR) has gained attention in the United States as a way of improving life cycle asset maintenance and realizing maximum value from existing public infrastructure. In an AR program, proceeds from leases or sales of mature, underutilized public assets are reinvested in much-needed infrastructure improvements. Although the benefits of AR are often noted in both academic and policy circles, the academic literature on AR has not yet explored AR’s application to social infrastructure. To address this gap, we explore the concept of AR and its relevance for U.S. social infrastructure. We first examine the steps and conceptual features of a “fix-it-first” AR approach to social infrastructure. We then use Infrastructure Ontario’s Capital Planning Program as a case study to highlight the potential viability of such programs. Finally, we conclude by discussing the benefits and challenges of adopting AR policies in the United States.

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