Trip Attraction Development Statistical Model in Dohuk City Residential Area

Abstract

In this study, trip attraction phenomenon has been studied for 20 residential out of 28 traffic zones located within Dohuk city urban area composed of more than 300,000 in residents. Home-interview travel data provided for the city are used in addition to special data collected to perform the trip attraction analysis .Attraction trips are classified into seven types and selected as dependent variables while other variables like number of dwelling units, employment,....etc., are selected as independent variables in the SPSS package to obtain the most statistically well accepted predicted attraction trip models. Some models like HBW trips is constant eliminated with good (R 2) value. HBSH and HBOH trips are showing weak correlation with their independent variables like amount of CBD area and number of retail sales located within CBD area.