Traffic Jam in Tuanku Tambusai Road, Pekanbaru City

Traffic jam in urban road in big cities has been the main issue in developing countries such as Indonesia. It is so easy to own motor vehicles today. This is one of the causing factors of dense traffic. In Riau Province, particularly Pekanbaru City, the number of motor vehicle ownership is growing sharply. This growth is in line with the economic growth and people’s mobility. The characteristic of the usage of Tuanku Tambusai Road Part is mixed-use area. The objective of the research is to (1) identify the causing factors of the traffic jam incidence in Tuanku Tambusai Road and (2) to explore the traffic attraction and traffic generation. The method used in this research is a deductive approach based on a general theory which has to be proved with fact finding. In addition to the deductive approach, a quantitative method is used to identify the performance of Tuanku Tambusai Street, its traffic attraction, and traffic generation. The result shows that the causing factors of the traffic jam in Tuanku Tambusai Street among others are (1) the road capacity is about 1978.40 passenger car unit per hour, and (2) the traffic flow volume of Tuanku Tambusai Street from SKA Shopping Center for on the most dense day, Thursday, is 4340.2 passenger car unit, whereas that of from the flyover on the most dense day, Thursday, is only 815.4 passenger car unit. This indicates that the traffic flow volume from SKA Shopping Center (east) has been over the capacity of the road. On the other hand, the traffic flow volume from the flyover (west) is still under the capacity of the road. The saturation level of the road, from west to east, is categorized unstable with the point of 2.19 passenger car unit. Meanwhile, from east to west, it is categorized stable with the point of 0.41 passenger car unit, categorized into an F-level service. The traffic attraction and generation of the road are that correlation value is 0.991. Theoretically, a strong correlation will occur if the value is close to 1. Based on summary model, the r-square value is 0.975; ANOVA value is 39.930 with a significance level of 0.049; and coefficient value is 304.940. As a conclusion, according to the regression formula, the number of mobility of the traffic attraction and generation is influenced by the increasing use of land.