Selecting the public transit projects with PCA-DP technique: The example of Xiamen City
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文摘
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Combines principal component analysis (PCA) with the dynamic programming (DP) to prioritize transit projects.

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Integrates multi-criteria indicators into the dynamic decision process for multi-period project selection.

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Uses data from 15 cities of China to determine the appropriate transit projects for the empirical city.

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