The general linear model analysis of variance: its relevance to transportation planning and research†

Abstract The general linear model analysis of variance (GLANOVA) is discussed to show its relevance to several transportation planning and research topics. Two specific analytical procedures, an analysis of variance for multiway tables with unequal cell frequencies and an analysis of covariance, are presented. The potential applicability of these GLANOVA procedures to trip generation, mode split and market segmentation in transportation planning and research contexts is mentioned. It is concluded that further examination of GLANOVA techniques, both on empirical and analytical levels, will be fruitful for research studies. However, theoretical sophistication and lack of convenient computer programs which are compatible with transportation planning software make GLANOVA inappropriate for use in normal planning studies.