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LAND USE AND TRANSPORTATION PLANNING FOR TWIN CITIES USING A GENETIC ALGORITHM.
| 题名： | LAND USE AND TRANSPORTATION PLANNING FOR TWIN CITIES USING A GENETIC ALGORITHM. |
| 作者： | Balling-RJ; Taber-J; Day-K; Wilson-S |
| 关键词： | Decision-making; Genetic-algorithms; Land-use-planning; Transportation-planning; Twin-cities |
| 摘要： | A new approach to future land use and transportation planning for high-growth cities is presented. The approach employs a genetic algorithm to efficiently search through hundreds of thousands of possible future plans. A new fitness function is developed to guide the genetic algorithm toward a Pareto set of plans for the multiple competing objectives that are involved. This set may be placed before decision makers. A Pareto set scanner also is described that assists decision makers in shopping through the Pareto set to select a plan. Some of the differences between simultaneous planning and separate planning of highly coupled twin cities also are examined. |
| 总页数： | Transportation Research Record. 2000. (1722) pp67-74 (6 Fig., 4 Tab., 4 Ref.) |
| 报告类型： | 科技报告 |
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