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Higher education vertical infrastructure maintenance planning.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Higher education vertical infrastructure maintenance planning.
作者:	Weidner, Theodore John.
面頁冊數:	293 p.
附註:	Adviser: Larry J. Feeser.
附註:	Source: Dissertation Abstracts International, Volume: 60-04, Section: B, page: 1750.
Contained By:	Dissertation Abstracts International60-04B.
標題:	Engineering, Civil.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9925277
ISBN:	0599249382

Higher education vertical infrastructure maintenance planning.
Weidner, Theodore John.

Higher education vertical infrastructure maintenance planning.[electronic resource] - 293 p.

Adviser: Larry J. Feeser.

Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 1999.

A major concern facing American higher education is finding the resources necessary to renew and renovate the existing physical facilities. Pressure on budgets makes it difficult for facility officers to obtain the needed financial resources without documentation that is understandable by non-technical people. Renewed growth of student populations has the potential to make future deferred maintenance problems greater still. The cyclic nature of building maintenance must also be reflected in resource requests.

ISBN: 0599249382Subjects--Topical Terms:

212394
Engineering, Civil.

Higher education vertical infrastructure maintenance planning.
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520 # $a A major concern facing American higher education is finding the resources necessary to renew and renovate the existing physical facilities. Pressure on budgets makes it difficult for facility officers to obtain the needed financial resources without documentation that is understandable by non-technical people. Renewed growth of student populations has the potential to make future deferred maintenance problems greater still. The cyclic nature of building maintenance must also be reflected in resource requests.
520 # $a Tools to identify vertical infrastructure maintenance needs are examined for accuracy against observed conditions at a large regional public university. Data developed for US Army facilities is utilized in three different ways to identify whether such data will be accurate in higher education facilities. The application methods explored are selected to utilize as much data as possible that is familiar to non-technical people while still providing a reasonable reflection of changing annual needs. The selected model is accurate within ten percent, a similar level of error when compared to the physical assessment techniques used. The model is also useful for planning purposes to identify future resource needs as well as to document costs for overhead charges.
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