|M.Sc Student||Nataly Kats|
|Subject||The Effect of the Residence Patterns on the Trip Generation|
|Department||Department of Civil and Environmental Engineering||Supervisor||Professor Ishai Ilan|
One of the most essential changes that took place recently was massive leaving of the city centers for suburbs - that caused generation of longer trips in private cars instead of walking or short trips by transit to CBD. In many countries efforts were made to change this worrying tendency. Planning policies called ‘‘Urban intensification’’ , ''Neotraditional development'' and so on are intended for reduction of private car dependence as well as trip number and length decrease.
This research is devoted to the link between residential characteristics and trip generation.
First, the aggregate analysis was performed for comparison of trip patterns on household/person means level by some categories: geographic location, socio-economic position, and urban status. The research shows that people with same socio-economic status behave in a different way under different urban conditions.
Second, the disaggregate analysis was performed. The models were calibrated by linear multivariate regression (for person trips by type, person as-driver trips, person kilometers traveled, and person as-driver kilometers traveled) and by Logit choice model (for all person trips). The same set of independent variables entered into these models. After the base models calibration (with socio-economic variables only) the urban variables set was added. The research proved that the urban variables set made significant contribution to the models explanatory power, especially to the model for home-other trips.
The findings from all of the research steps were similar, and verify the assumption that multistory buildings residence, high residential density, high commercial and office rates, high bus lines density and X-intersection rate are related with lower trip rates and shorter trip distances.