Modeling the effect of perception of goods transport driver on route selection in Manado City, Indonesia

There are problems concerning the movement of freight in Manado City which uses the highway, i.e., traffic jams. The main cause of traffic congestion in Manado City is the mixing of all types of vehicles both transporting goods and people on the role of artery, collector and local roads, so that, the road network is not functioning efficiently. The number of streets in the Manado City area allows the user to choose the best route based on his personal perception in order to avoid congestion in reaching his travel destination. The purpose of this study is to model the influence of the perception of freight drivers on traffic jams against route selection and handling recommendations and strategies for the selection of freight routes. This study uses purposive sampling where the sample in this study is a freight transporter which amounts to 250 drivers of goods transport spread over 5 access in and out of Manado City. This primary data collection tool is a questionnaire distributed through a road survey interview (road site interview). Instruments to identify the dimensions of perception of traffic congestion in the selection of freight routes are the distance, VCR, travel time and composition of goods transportation. The result of research shows that based on multiple regression analysis with forward method, there are two variables that have significant effect on the selection of freight route in Manado City, namely: short distance variable and low freight composition with model Y = 0.325+0.534X1+0.406X4. This model gives the meaning that every driver of goods transport in all access in and out of Manado City that in choosing the routes to be passed they only consider two dominant factors, namely the closest mileage to pass and the low composition of freight transport.