Asset Management Decision-Making For Infrastructure Systems - Softcover

Mohammadi, Alireza; Amador Jimenez, Luis

 
9783030976163: Asset Management Decision-Making For Infrastructure Systems

Synopsis

This textbook provides practical and concrete guidance for the step-by-step implementation of decision-making for infrastructure asset management. Examples are used to illustrate how data from condition assessment are used to develop performance models, to estimate the effectiveness of investments that are prioritized and scheduled to accomplish reliable and convenient infrastructure for the wellbeing of the public and regional economic competitiveness. Book illustrates numerous worked problems to clarify ambiguity in developing a decision-making platform to prioritize assets and distribute budgets effectively and efficiently.
  • Ensures reader understanding of the benefits and challenges of infrastructure asset management;  
  • Provides a step-by-step guide for the development of each component of an asset management decision-making system;
  • Includes worked examples to clarify decision-making and budget allocation process.

"synopsis" may belong to another edition of this title.

About the Author

Dr. Alireza Mohammadi, PhD., P. Eng., is an expert in civil engineering with extensive experience working in infrastructure design, procurement, construction, and asset management since 2002. He is currently working for Metrolinx as a senior advisor in the asset lifecycle management team to deliver safe and customer-focused services to commuters in Greater Toronto Area. He is also a lecturer teaching infrastructure asset management for graduate students from engineering. Before joining Metrolinx, he was a postdoctoral fellow at the University of Toronto, Centre for Information Systems in Infrastructure & Construction.  Dr. Mohammadi has an impressive publication track in top-ranked publishers and has received numerous awards and honors in recognition of his achievements in developing and implementing innovative asset management solutions for infrastructure. His work was featured by the media multiple times.

Dr. Luis Amador-Jimenez, PhD., P. Eng., is an Associate Professor at Concordia University where he has taught Pavement Management Systems since 2012. He is a consultant in Transportation Engineering and has developed Road Management Models for Costa Rica, New Brunswick, El Oro (Ecuador), Kindersley, and Montreal, he has worked in the data collection and analysis for Transportation Planning, he was a consultant for Qatar’s Trip Generation and Parking Rates Manual and Road Safety Management Systems. He is the author of over 40 journal papers where he has presented new tools for infrastructure asset management. Dr. Amador loves visiting cities, towns, and villages to discover their history, use their transit, and visit public spaces. He is a big supporter of walking and riding trains.

From the Back Cover

This textbook provides practical and concrete guidance for the step-by-step implementation of decision-making for infrastructure asset management. Examples are used to illustrate how data from condition assessment are used to develop performance models, to estimate the effectiveness of investments that are prioritized and scheduled to accomplish reliable and convenient infrastructure for the wellbeing of the public and regional economic competitiveness. Book illustrates numerous worked problems to clarify ambiguity in developing a decision-making platform to prioritize assets and distribute budgets effectively and efficiently.
  • Ensures reader understanding of the benefits and challenges of infrastructure asset management;  
  • Provides a step-by-step guide for the development of each component of an asset management decision-making system;
  • Includes worked examples to clarify decision-making and budget allocation process.

"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title

9783030976132: Asset Management Decision-Making For Infrastructure Systems

Featured Edition

ISBN 10:  3030976130 ISBN 13:  9783030976132
Publisher: Springer, 2022
Hardcover