Abstract
The relationship between modal choice for the work trip and a series of socioeconomic and spatial variables is examined using census data for the Broad and High Street corridors in Columbus. The model distinguishes between passenger (bus and car-passenger) and non-passenger modes. 7 variables account for some 80% of variation in modal split with race, population density, and automobile ownership accounting for over 70%. High levels of multicollinearity lead to an underestimation of the influence of income and other variables on modal split. The Kain Model and a principal components regression model are employed to gain further insights into these relationships. -Author
Original language | English (US) |
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Pages (from-to) | 1-18 |
Number of pages | 18 |
Journal | Ohio Geographers: Recent Research Themes |
Volume | 8 |
State | Published - Jan 1 1980 |
ASJC Scopus subject areas
- Environmental Science(all)
- Earth and Planetary Sciences(all)