Development of Trip Generation Model by Using Artificial Neural Network Algorithm: Wolaita Sodo City as a Case Study

Trip generation is the first step model in the transportation forecasting process. In this study, there are six developed models. Such as the general trip generation model, work trip generation model, educational trip model, shopping trip model, recreational trip generation model, and social trip generation model by using an artificial neural network. The mail-back survey method was adapted to collect pilot data, and household interview surveys were adapted to collect main trips and socio-economic household data. A sample size selected by stratified random distribution method from each TAK of Wolayta-Soddo city is 718 households. And the essential data is collected from all the households that enable to development of different models. The results of the developed models are to identify the possible modifications required in the study area to improve the transportation facilities and policy decisions furthermore for the economic development of the country in general and state in particular.