The highest risk is those who have the least protection, such as motorcyclists and pedestrians. The accident behavior is dominated by drivers due to several factors related to the driver's social background and driving behavior. Accident data are often incomplete or accident actors cannot be contacted. For this reason, the approach in this study is to model the behavior of motorcycle driver that has the potential to cause accidents. The line of Surabaya Pasarturi-Bojonegoro has the highest accidents value on the Jalur Perlintasan Langsung (JPL) 325 Lamongan. To determine the level of accident probability based on the characteristics of the motorcycle driver. Data were collected by interviewing motorbike users passing JPL 325 Lamongan. The descriptive analysis used to describe the characteristics of the respondents and the inferential analysis used of binary logistic regression to find out what factors have the potential to cause accident in JPL. Drivers who have difficulty carrying excess goods while driving are indicated to be a contributing factor to accidents although it is unlikely that this occurs with an opportunity value of 6.25%.

Traffic safety at railroad crossings considered poorly understood by the road users. A good safety understanding at railroad crossings is necessary to prevent potential accidents. This condition is possibly achieved if factors causing the accidents are clearly known. This study aims to find out factors with potentially causing accidents in a railroad crossing, especially related to traffic volume, vehicle queue length, past year accidents, and land use around the railroad crossing. Data were collected from the data inventory survey, which was then analyzed using regression analysis. The results found three equations types based on the land use, respectively as: Type 1 (Railroad Crossing-Local Road/Collector) Y = 0,97 + 2,89x1 + 0,042x2; Type 2 (Railroad Crossing-Public Facilities) Y = 0,693 + 4,4x1 + 0,006x2; Type 3 (Railroad Crossing-Approaching Intersection) Y = -0,209 + 3,140x1 + 0,018x2. This study was benefited to design the policy as well as the layout of railroad crossings in order to minimize the potential accidents in the railroad crossing areas.