The close relationship exists between land use and transportation, with land use configuration shaping travel patterns over the short term. Respectively, we examined changes in urban form measured by land use/land cover changes and related changes in transportation behavior over the twenty-year period in a large-sized urban area in the southeast USA. In addition, we studied changes in population attributes including age structure and educational achievement as the main drivers of demand for residential and commercial land due to their impact on the distribution of housing and jobs and hence, travel patterns.  Specifically, changes in spatial data and socio-demographic characteristics including population, age, race, and education were examined for the 1990s, 2000s, and 2010s. The urban form was examined by studying trends in LC and LU mix by computing a Simpson’s index for both measures for the two decades. In agreement with other metropolitan areas, the share of developed land use has increased (by almost 4% in the study area since the early 1990s) to meet the demand of housing and jobs for the growing population, while planted area and forest decreased significantly due to sprawl and urban development. As expected, lower values of Simpson’s index for land cover is negatively and consistently associated with public transportation for all three periods of examination, while positively related to working at home. Conversely, higher values of Simpson’s index for land use mix is positively and consistently associated with public transportation. Farther, the results indicate that young people today are more using public transportation in comparison with the past. Although Blacks constitute the majority of people who use public transportation, White commuters using public transport increased over the study period. In addition, older travelers are more likely to use alternative transportation modes. Higher educated people are more likely to work at home and use a bike as a commuting mode. The study contributes to urban planning research by identifying the impact of changes in land use, land cover, and socio-demographic characteristics on the use of various transportation including active and passive modes. It further contributes to decision making in planning by describing how priority areas with existing walkability demand can be identified.