The graduation thesis estimates trip generation for shopping center Qlandia Kranj. Trip generation is first step in four-step traffic forecast process which is used to estimate traffic volume or the number of trips in the area of interest. The number of trips depends on various factors which are connected to land use, socio-economic characteristics of the people and characteristics of transportation system. The variable with the biggest impact on trip generation is land use. Larger sites and also sites with more urban activity generate more trips.\ud
The chosen method for trip generation estimation is described in Trip Generation Handbook issued by ITE. This method is based on abundance of collected data from sites all across USA and Canada. Trip generation rates and regression equations extracted from this data connect the number of trips to characteristics of site. Rates and equations can be adjusted to correspond to the location of the site. The result of trip generation analysis is the number of trips IN and OUT of the site. Equations and rates for various land uses are published in the ITE handbook. Feature with the biggest impact on the number of trips should be chosen as independent variable. Additional factors affecting trip generation are modal split, internal trips and by-pass trips.\ud
I used the method described in ITE handbook to estimate trip generation of Qlandia Kranj. Independent variable was shopping center's sales area. I compared estimated trip generation data with traffic count performed on the site
