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Purdue University

USING REAL OPTIONS THEORY TO ENHANCE HIGHWAY ASSET INTERVENTION SCHEDULING

Abstract

dc:description.abstract

Highway agencies have a fiduciary responsibility for cost-effective upkeep of highway assets worth trillions of dollars. A critical aspect of this stewardship is the ability to make informed decisions regarding the scheduling of interventions geared to enhance infrastructure capacity and structural integrity or to maintain a state of good repair. Development of such schedules which are time-based or condition-based, often proceeds with the implicit assumption that a certain asset-related parameter of volatility will continue to follow a certain pattern on the basis of observed past trends. However, given the uncertain nature of the asset environment, it is often the case that the economic attractiveness of an investment determined at the analysis year may not be the same over time. In some cases, it is possible to scale back, defer, or expand the investment at a future time in order to avoid excessive losses or to capture additional rewards; in other cases, it is not easy to scale back, defer, or expand. As stewards of taxpayer money, highway agencies place great value on any flexibility they may be granted to exercise these options.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Civil Engineering
Year
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Athigakunagorn, Nathee
Contributors dc:contributor
  • Samuel Labi
  • Kumares C Sinha
  • Thomas L Morin
  • Amr A Kandil

Subjects

dc:subject × 3

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:docs.lib.purdue.edu:open_access_dissertations-2379

Chain of custody

source
Harvested from
Purdue University
Base URL
docs.lib.purdue.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Athigakunagorn, Nathee. USING REAL OPTIONS THEORY TO ENHANCE HIGHWAY ASSET INTERVENTION SCHEDULING. Dissertation thesis, 2015. https://docs.lib.purdue.edu/open_access_dissertations/1163