This paper aims to examine the relationship between urban form and personal daily trips between urban zones across
Metropolitan Shiraz, Iran. To cope with collinearity nature of trip generation determinants and also multicollinearity in
model estimation, component principal analysis (PCA) was employed to identify latent dimensions of trip generation.
Then, a multiple regression model with continuous independent variables was developed to measure the effect of each
individual variable on entire trips generated among urban zones. The explanatory variables included both physical
characteristics of the metropolitan (land use diversity, density, suburbanization, connectivity, and accessibility to public
transport), and socio-economic characteristics of trip makers (age, employment status, education, migration, property
value) aggregated on the urban zones scale. The empirical findings, based on ordinary least squares (OLS) estimation
of 2006 data for 47 traffic area zones (TAZ) with total population over 1.1 million indicated that socio-economic
characteristics were the most positive determinants of trip generation among the zones. On contrast, suburbanization
(distance from central business district (CBD)) and distance from public transport facilities were negatively associated
with the trip generation. However, other physical factors such as land use mix and network connectivity were found not
important in influencing intra-zone trip generation, probably influencing inter-zone trip generation instead. In fact,
improving local accessibility may reduce the need to intra-zonal travel, rather may also increase the tendency to travel
within the neighborhood area