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Estimation of downtime related revenue losses in maritime ports due to earthquakes

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Estimation of downtime related revenue losses in maritime ports due to earthquakes
作者:	Pachakis, Dimitrios.
面頁冊數:	212 p.
附註:	Adviser: Anne S. Kiremidjian.
附註:	Source: Dissertation Abstracts International, Volume: 65-04, Section: B, page: 1996.
Contained By:	Dissertation Abstracts International65-04B.
標題:	Engineering, Civil.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3128451
ISBN:	049675713X

Estimation of downtime related revenue losses in maritime ports due to earthquakes
Pachakis, Dimitrios.

Estimation of downtime related revenue losses in maritime ports due to earthquakes [electronic resource] - 212 p.

Adviser: Anne S. Kiremidjian.

Thesis (Ph.D.)--Stanford University, 2004.

Four examples, two single-terminal and two multi-terminal, are presented that demonstrate the applicability of different aspects of the methodology. The first example is a preliminary investigation of the effects of changes in operational parameters such as traffic intensity, berth length, and queuing capacity in the port revenues. The second example illustrates how a vulnerability model can be combined with the operations simulation model to provide probabilistic loss estimates for scenario earthquakes. In the third example, one of the eight terminals of a multi-terminal container port is closed for six months and the ships are diverted to other terminals. The revenue differences of the different diverting options are analyzed. In the fourth example, each of the eight terminals of the container port are closed successively and the ships are diverted to the remaining open ones. The ability of the port to absorb the current traffic with reduced operational capacity without losing a significant amount of revenues is assessed.

ISBN: 049675713XSubjects--Topical Terms:

212394
Engineering, Civil.

Estimation of downtime related revenue losses in maritime ports due to earthquakes
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520 # $a Four examples, two single-terminal and two multi-terminal, are presented that demonstrate the applicability of different aspects of the methodology. The first example is a preliminary investigation of the effects of changes in operational parameters such as traffic intensity, berth length, and queuing capacity in the port revenues. The second example illustrates how a vulnerability model can be combined with the operations simulation model to provide probabilistic loss estimates for scenario earthquakes. In the third example, one of the eight terminals of a multi-terminal container port is closed for six months and the ships are diverted to other terminals. The revenue differences of the different diverting options are analyzed. In the fourth example, each of the eight terminals of the container port are closed successively and the ships are diverted to the remaining open ones. The ability of the port to absorb the current traffic with reduced operational capacity without losing a significant amount of revenues is assessed.
520 # $a The benefits of the proposed methodology are multiple. First, having a distribution for the expected aggregate loss can assist port authorities in the cost-benefit analysis and evaluation of seismic upgrade projects. Second, the proposed methodology can help port authorities make retrofit timing decisions, where the projections of future traffic loss must be accounted together with the retrofit cost. Third, revenue loss estimation can help port management negotiate specific insurance contracts and achieve premium reductions. Finally, simulation of port operations can be particularly effective in identifying the most effective operating strategies to reduce operating losses, after events causing downtime, such as earthquakes, strikes, hurricanes, and terrorism.
520 # $a The main objective of this research is twofold: on one hand to provide a methodology for estimating downtime revenue losses a port incurs from scenario earthquake events and on the other hand to provide methods for deriving the moments and approximating the cumulative distribution function of the aggregate loss for these scenario events. The first objective is achieved through simulating the port operations and measuring the differences in revenues between regular operations and when the operations are interrupted by an earthquake. The second objective is achieved by adapting methods used in actuarial science to calculate the statistical characteristics of the total aggregate loss for a given exposure period, assuming earthquake arrivals as a Poisson process and discounting losses due to future earthquakes in the present.
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