Modelling of Behavior Patterns for Work and Service Trips of Residents of Tehran

Modeling for explaining complex patterns of behavior of urban residents can address the analysis and description of many urban issues. It can be used in broad sectors of urban planning that need to analyze the current situation and predict future behavioral patterns of population. Because of the complexity of economic activities and social structures in Tehran, any urban planning for the future requires precise analysis of behavioral patterns of residents in this city in connection with determining residence and services as the major human activities. Models of travel distribution between regions are mathematical formulas of distributed trips based on various assumptions and some regularity observed during the trip length frequency. In these models, the purpose is to analyze distribution of trips between pairs of source-destination. Due to incapability of travel forecasting models such as spatial interaction models, the need for models to predict behavior is reasonable in predicting travel behavior patterns and those social and economic differences between source-destination travel. In this study, the Choice Model (type of Multinomial logit model) is employed for modeling the business patterns of and services trips behavior amongst of residents of Tehran in order to understand and analysis the complexities of these trips on various influencing factors.