Analysis of Level of Service (LOS) of Urban Roads Using Multiple Linear Regression Models

Population growth and economic growth cause a person's mobility to increase. Sutomo Street, Pematangsiantar City is one of the roads that is quite congested because Sutomo Street is the center of Pematangsiantar city. The existence of the largest shopping center in the city of Pematangsiantar, which is Horas Market, causes a high level of community mobility around Horas Market. This research aims to determine the traffic volume, road capacity, and Road Level of Service (LoS) based on PKJI 2023, as well as knowing the relationship model and effect of traffic volume and road capacity on the Level of Service (LoS) of Sutomo Street, Pematangsiantar City using multiple linear regression methods with the help of IBM SPSS Statistics software. This research was carried out from Monday to Saturday at 07.00-19.00 WIB on Sutomo Street, Pematangsiantar City, which is precisely in front of the Pasar Horas, Building I, 200 meters long. Data collection on traffic volume and side obstacles is carried out with the help of cameras. From this research, it was found that the highest degree of saturation occurred on Saturday, 02 September 2023 at 12.00-13.00 WIB with a traffic volume of 2380.2 SMP/hour and a road capacity of 4161.6 SMP/hour so that the degree of saturation (Dj) was 0.57 with the road Level of Service (LoS) value being C (stable volume, speed influenced by traffic). The effect of variables X1 (traffic volume) and X2 (road capacity) can be explained simultaneously on the largest variable Y (degree of saturation) which is 99,8% with the multiple linear regression model equation, which is Y = 0,468 + 0,000222X1 – 0,000103X2. Based on partial and simultaneous hypothesis testing, Ho is rejected so that there is an effect of the independent variable on the dependent variable. This means that variables X1 and X2 effect variable Y.