| Sumario: | Nine alternative accessibility measures are presented, and their usefulness in explaining population distribution is assessed. First, these measures are evaluated by employing the criterion of maximum explanatory power in standard regression analysis. Then, non-nested tests are performed on the nine measures. It is concluded that gravity-type accessibility measures generally perform better than other measures. The most regularly used measure, size of opportunity weighted by the reciprocal of distance, is not statistically surpassed by any other measures. Cumulative opportunity within the average commuting distance and the distance to the central business district are the weakest accessibility measures.
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