Department of Civil Engineering, Universitas Indonesia, Depok, Indonesia.
Traffic Inj Prev. 2021;22(4):318-323. doi: 10.1080/15389588.2021.1872065. Epub 2021 Mar 19.
The study has two objectives: (1) to determine the factors on severity levels of pedestrian crossed the road crashes in three cities in Indonesia, (2) to suggest countermeasures at the most crash-prone areas in each city.
Study areas are chosen based on the highest pedestrian fatality rate in Central Java Province. The determinant severity levels are based on 19 variables categorized into the pedestrian, road, environment, vehicle, and drivers' characteristics. The crash data was collected from Indonesia Traffic Corps' (Korlantas) database and site visits to all crash locations. The data was processed using the Ordered Probit Model (OPM) Method to find the contributing variables to determine Pedestrian Crossing Road crash severity level.
The significant variables are different in each city; Tegal is (0.296) and (0.176), Salatiga are (0.484) and (0.472), Magelang are (-0.582) and (-0.262).
Each city has unique variables to determine the severity level. Therefore, treatments and countermeasures must be specific to each city based on study findings.
本研究有两个目的：（1）确定印度尼西亚三个城市行人横道事故严重程度的影响因素；（2）针对每个城市最易发生事故的区域提出相应对策。
研究区域是根据中爪哇省行人死亡率最高的地区选择的。严重程度的决定因素基于分为行人、道路、环境、车辆和驾驶员特征的 19 个变量。事故数据是从印度尼西亚交通警察（Korlantas）数据库和对所有事故地点的实地考察中收集的。使用有序概率模型（OPM）方法对数据进行处理，以找到导致行人穿越道路事故严重程度的变量。
每个城市的显著变量不同；特加一是（0.296）和（0.176），沙拉迪加是（0.484）和（0.472），马格朗是（-0.582）和（-0.262）。
每个城市都有独特的变量来确定严重程度。因此，根据研究结果，必须针对每个城市的具体情况制定治疗和对策。
