2018 Volume 6 Issue 2 Pages 68-72
In this paper, we extract relevant factors to sales of Michi-no-eki, and estimate sales from each factor. As factors that are considered to be relevant to sales of Michi-no-eki, we pick up facility area (whole), facility area (sales office), number of parking units, traffic volume, number of items (sales office), overall project cost, and municipal population. By correlating these factors and sales, we find factors that are related to sales. And, we perform multiple regression analysis to estimate sales from these factors, and verify the performance of multiple regression equations for each factor. In addition, we execute a correlation analysis between sales and the existence of facilities and services. In this study, we pick up 128 Michi-no-eki in Kyushu region.
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