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An Analytical Hierarchical Process-based decisionmaking approach for selecting car-sharing stations in medium size agglomerations

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This article presents an Analytical Hierarchical Process (AHP)-based multi-step approach for identifying car-sharing stations in medium size agglomerations. Each agglomeration consists of several communities (also called communities). The first step consists of identifying communities that contain enough population that would be interested in using car-sharing. In the second step, we identify the potential locations for car-sharing stations inside the communities. In the third step, experts rate the stations using several criteria. AHP is used to compute the criteria and station weights. The individual weightings of the criteria and the stations are used to compute overall weights of the stations with respect to all the criteria. These weighted stations are then subjected to a predefined threshold. All those stations whose overall weight exceeds the threshold limit are considered as final stations for car-sharing implementation. We validate our approach by application on various communities of Poitou-Charentes region.

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