Prior to investment in an infrastructure project, it is necessary to establish its feasibility, both in monetary and nonmonetary terms. Nonmonetary considerations include social and environmental. Future demand and operating and maintenance costs for infrastructure are uncertain; lifetime and investment parameters are uncertain. This book provides a methodology for establishing the feasibility of infrastructure, or any man-made asset, and for options to modify or adapt, given future uncertainty such as that associated with climate change.
Prior to investment in an infrastructure project, it is necessary to establish its feasibility, both in monetary and nonmonetary terms. Nonmonetary considerations include social and environmental. Future demand and operating and maintenance costs for infrastructure are uncertain; lifetime and investment parameters are uncertain. This book provides a methodology for establishing the feasibility of infrastructure, or any man-made asset, and for options to modify or adapt, given future uncertainty such as that associated with climate change.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
David G. Carmichael is professor of civil engineering and former head of the Department of Engineering Construction and Management at the University of New South Wales, Australia. He is a graduate of the Universities of Sydney and Canterbury; a fellow of the Institution of Engineers, Australia; a member of the American Society of Civil Engineers; and a former graded arbitrator and mediator. Professor Carmichael publishes, teaches, and consults widely in most aspects of project management, construction management, systems engineering, and problem solving. He is the author of Problem Solving for Engineers, also published by CRC Press.
Inhaltsangabe
Introduction. Part I. Deterministic: Benefits, costs and time value. Appraisal. Appraisal: Extensions and comments. Part II. Probabilistic: Background. Probabilistic cash flows. Real options. Real option types and examples. Financial options. Probabilistic cash flows and interest rates. Markov chains and investment analysis. Bibliography and references.
Introduction. Part I. Deterministic: Benefits, costs and time value. Appraisal. Appraisal: Extensions and comments. Part II. Probabilistic: Background. Probabilistic cash flows. Real options. Real option types and examples. Financial options. Probabilistic cash flows and interest rates. Markov chains and investment analysis. Bibliography and references.
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