Developing a Road Map for Transportation Asset Management Research

2004 ◽  
Vol 8 (3) ◽  
pp. 162-175 ◽  
Author(s):  
Aileen Switzer ◽  
Sue McNeil
Keyword(s):  
Asset Management ◽  
Management Research ◽  
Road Map ◽  
Transportation Asset Management

Risk-Based Planning in Transportation Asset Management: Critical Pitfalls

2015 ◽  
Vol 141 (2) ◽  
pp. 04014080 ◽  
Author(s):  
Richard Sarpong Boadi ◽  
Adjo Amekudzi Kennedy ◽  
Jay Couture
Keyword(s):  
Asset Management ◽  
Transportation Asset Management

Contextualist-retroductive case study design for strategic asset management research

2018 ◽  
Vol 29 (16) ◽  
pp. 1332-1342
Author(s):  
Khaled El-Akruti ◽  
Senevi Kiridena ◽  
Richard Dwight
Keyword(s):  
Study Design ◽  
Asset Management ◽  
Management Research ◽  
Case Study Design

scholarly journals Research on Comprehensive Multi-Infrastructure Optimization in Transportation Asset Management: The Case of Roads and Bridges

2019 ◽  
Vol 11 (16) ◽  
pp. 4430 ◽  
Author(s):  
Zhang Chen ◽  
Yuanlu Liang ◽  
Yangyang Wu ◽  
Lijun Sun
Keyword(s):  
Asset Management ◽  
Optimization Model ◽  
Optimization Technique ◽  
Infrastructure Management ◽  
Transportation Assets ◽  
Maintenance And Rehabilitation ◽  
Optimum Order ◽  
Transportation Asset Management ◽  
Order Algorithm

Optimization is the core of transportation asset management, but current optimization approaches are still in the stage of single infrastructure management, which seriously hinders the development and application of transportation asset management. This paper establishes a comprehensive multi-infrastructure optimization model for transportation assets consisting of roads and bridges, which is aimed at achieving the goal of transportation asset comfort, integrity, and security, taking budget funds as constraint conditions, and applying the optimization technique of goal programming and integer programming. An interactive fuzzy linear-weighted optimum-order algorithm is presented to solve the comprehensive optimization model. Finally, the comprehensive multi-infrastructure optimization model and algorithm are verified to be effective by practical data in a case study. The results indicate that the model and algorithm can provide a satisfactory and reasonable maintenance and rehabilitation schedule for transportation asset management agencies.

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