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On the use of mathematical programming in the evaluation of transport policies |
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| Authors: | Mohamed T. Aboul‐Ela Frank R. Wilson Albert M. Stevens |
| Affiliation: | 1. Post‐doctoral fellow, Transportation Group , University of New Brunswick , Fredericton, N.B., Canada, E3B 5A3;2. Dean of Engineering and Professor of Transportation , University of New Brunswick , Fredericton, N.B., Canada, E3B 5A3;3. Professor, Transportation Group , University of New Brunswick , Fredericton, N.B., Canada, E3B 5A3 |
| Abstract: | This paper focuses on the evaluation processes by which decisions regarding transportation alternatives can be assisted. A multidimensional approach usually called multiple criteria decision making is required to represent the complexity of transportation policy and systems. The multiple criteria decision making techniques can be divided into two groups. The first is based on a ranking scheme approach and the second on a mathematical programming approach. A multiple objective mathematical programming procedure known as Goal Programming is presented. The authors examined the use of that procedure in real transportation problems. The results suggest that multiple objective mathematical programming techniques in general do not appear to be appropriate in transportation policy analysis involving mutually exclusive alternatives. Their use can be limited to special cases in the private sector. |
| Keywords: | Trip‐Generation Transferability Forecasting Home‐Based Trips Cross‐Sectional Data |