The aim of this study is to investigate the effects of traffic loads and track parameters, including track curvature, superelevation, and train speed, on vertical and lateral rail wear. The Yenikapi–Ataturk Airport Light Rail Transit (LRT) line in Istanbul was selected as a case study, and rail wear measurements were carried out accordingly. Passenger counts were performed in all wagons of the train on different days and time intervals to calculate the number of passengers carried in track sections between stations regarding traffic loads on the LRT line. Values of traffic load, track curvature, superelevation, and speed were determined for each kilometer where measurements of rail wear were conducted. A multiple linear regression analysis (MLRA) method was used to identify effective parameters on rail wear. Independent variables in MLRA for both vertical and lateral wear include traffic load, track curvature, superelevation, and train speed. The dependent variables in MLRA for vertical and lateral wear are the amount of vertical and lateral wear, respectively. The correlation matrix of the dependent and independent variables was analyzed before performing MLRA. Multicollinearity tests and cross-validation analyses were conducted. According to the results of MLRA for vertical and lateral wear, the obtained coefficients of determination indicate that a high proportion of variance in the dependent variables can be explained by the independent variables. Traffic load has a statistically significant effect on the amount of vertical and lateral rail wear. However, track curvature, superelevation, and train speed do not have a statistically significant effect on the amount of vertical or lateral rail wear.

这项研究的目的是研究交通负荷和轨道参数（包括轨道曲率，超高和列车速度）对垂直和水平轨道磨损的影响。案例研究选择了伊斯坦布尔的叶尼卡皮—阿塔图尔克机场轻轨运输（LRT）线，并据此进行了轨道磨损测量。在不同的日期和时间间隔在火车的所有货车中进行乘客计数，以计算轻轨线路上车站之间的轨道区间所载乘客的数量。对于进行了轨道磨损测量的每公里，确定交通负荷，轨道曲率，超高和速度的值。使用多元线性回归分析（MLRA）方法来确定钢轨磨损的有效参数。MLRA中垂直和横向磨损的自变量包括交通负荷，轨道曲率，超高和火车速度。MLRA中垂直和横向磨损的因变量分别是垂直和横向磨损的量。在执行MLRA之前，分析了因变量和自变量的相关矩阵。进行了多重共线性测试和交叉验证分析。根据MLRA在垂直和横向磨损方面的结果，获得的确定系数表明，自变量可以解释自变量中很大比例的方差。交通负荷对竖向和横向轨道的磨损量具有统计学上的显着影响。但是，轨迹曲率，超高，