Traffic Generation in Surapati Gasibu Bandung City

Dadang Mohamad, J. Akbardin, Muhammad Anelka Saiful Qashmal
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Abstract

Based on the data from the Bandung City Central Statistics Agency in 2020, population growth has been increased by 0.49%. The use of private vehicles, certainly affects the growth of traffic movements, especially at the Surapati Gasibu Intersection, Bandung City. To find out the traffic flow that passes through Surapati Street, a study was carried out using a movement generation model. The generation model uses the multiple regression analysis methods with the generated variable being the number of vehicles (Y) and the variables that influence it are the population (X1), the number of domestic tourists (X2), and the value of gross regional domestic income (X3) in Bandung. The data was obtained through the publication of the Bandung City BPS from 2012 to 2021 (10 years). Using the data analyst feature in Microsoft Excel, the regression equation is found to be Y = -7,003,565.898 + 3.213 X1 + 0.142 X2 and the growth value of traffic movement is at 2.39% per year. It means in 30 years the average traffic will grow by 20% and need a renewal intersection. Keywords: traffic, generation, Surapati Gasibu, Bandung
苏拉帕蒂-加西布万隆市的交通流量
根据万隆市中央统计局 2020 年的数据,人口增长率为 0.49%。私家车的使用肯定会影响交通流量的增长,尤其是在万隆市的苏拉帕蒂-加西布路口。为了了解通过苏拉帕蒂街的交通流量,我们使用交通流生成模型进行了一项研究。生成模型采用多元回归分析方法,生成变量为车辆数量(Y),影响变量为万隆的人口(X1)、国内游客数量(X2)和地区国内总收入(X3)。数据通过万隆市 2012 年至 2021 年(10 年)的 BPS 出版物获得。利用 Microsoft Excel 的数据分析功能,得出回归方程为 Y = -7,003,565.898 + 3.213 X1 + 0.142 X2,交通流量的年增长率为 2.39%。这意味着 30 年后,平均交通流量将增长 20%,需要更新交叉路口。关键词:交通、生成、苏拉帕提-加西布、万隆
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