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An integer goal programming model for solving the capital allocation problem of metropolitan mass transportation agencies
Abstract In order to maintain an efficient public mass transportation system in an urban area large capital expenditures are generally required. However, due to changing attitudes and priorities on the part of local, state and federal governments, funding for such public transportation systems is being curtailed. As such, it is imperative that the funding that local transportation agencies do receive be allocated for capital expenditure items in the most efficient and satisfactory manner possible. In this paper, integer goal programming is demonstrated via a case example as a means for achieving a satisfactory allocation of funds for capital expenditures.
An integer goal programming model for solving the capital allocation problem of metropolitan mass transportation agencies
Abstract In order to maintain an efficient public mass transportation system in an urban area large capital expenditures are generally required. However, due to changing attitudes and priorities on the part of local, state and federal governments, funding for such public transportation systems is being curtailed. As such, it is imperative that the funding that local transportation agencies do receive be allocated for capital expenditure items in the most efficient and satisfactory manner possible. In this paper, integer goal programming is demonstrated via a case example as a means for achieving a satisfactory allocation of funds for capital expenditures.
An integer goal programming model for solving the capital allocation problem of metropolitan mass transportation agencies
Taylor, Bernard W. III (author) / Keown, Arthur J. (author)
Transportation Research Part A: General ; 17 ; 375-383
1982-02-04
9 pages
Article (Journal)
Electronic Resource
English
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