Trip Generation Modeling for Selected Zone in AL-Diwaniyah City

Abstract

The initiation of this study was made with the objective of building the predicted household trip generation models for Al-Diwaniyah city that involve the socioeconomic characteristics and land use trends. For the purpose of this study, the city was divided into 5 sectors with 70 zones, these zone covering an area of 52 square km. Home questionnaire forms were distributed through arrangements with the secondary, industrial, commercial schools administrations and some colleges and 3400 forms were distributed in the city for home interview purpose,. In fact a concentrated briefing to the respondents was demonstrated before the distribution of the forms. The questionnaires response rate was 74.65 %. The collected data was analysed and classified in order to qualify the social and economical features in each zone. The relationship between daily household trips and socioeconomic characteristics were developed using stepwise regression technique (Multiple Linear Regression ,MLR) after the collected data being feed to SPSS software, Results showed that trip production model mainly depends on family size, gender, the number of workers and the number of student in the family.