Unsafe Behavior And Impact Analysis Of Non-motor Vehicles Near Bus Stops With Mixed Traffic Flow

Bus stops built on bicycle-lane are quite common on branch way and side road of main road in China city, at which stop, non-motors always make a detour to motorway when there are buses berthing. During taking a detour, non-motors will easily have conflict with the following car and buses that are pulling in, which lower non-motorized vehicles’ safety, as well as increase car travel delay. Therefore, study about the microscopic behavior and safety of non-motors, making an analysis of riders’behavior rule with different risk types and factors influencing car travel delay at bus stop are extremely meaningful for improving non-motors safety and lowering car’s delay. Accordingly, based on basic statistics and survival analysis methods, this dissertation focused on non-motors’behavior rule with different risk types and influence factors causing car travel delay near bus stop with mixed traffic flow. Specifically, the contents of this paper are as follows:(1) Unsafe behavior of non-motor vehicles was analyzed. Analyze non-motor’s microscopic behavior with different risk types and the opportunist’s microscopic behavior in the front, middle and latter travelling process based on basic statistics, and make a compare among them. Results demonstrate that risk lovers travel fastest, looking frequency least, travel time shortest. The opportunist behave more carefully when travel from bicycle way to motor way than when from motor way to bicycle way. The looking frequency, longitudinal displacement and time of changing lane from bicycle lane to motor way is longer compared with the process changing lane to bicycle way. Waiting time of the risk averter obeys exponential distribution.52.4%of the risk averter wait for less than4seconds and the riders will try to find chance to pass the bus stop during the waiting period.(2) The impact of mixed traffic flow on car travel delay was explored. Analyze mixed traffic flow factors influencing car travel delay by using Cox hazard model and parametric model. Build the Cox hazard model and parametric model of car travel delay. Based on the surveyed data, the optimal mathematical model of car travel delay was chosen. The results show that car travel delay time will increase with non-motor volume, car volume, bus volume, bus berth time and bus berthing irregularly increase, while decrease with the electric bicycle rate increase. Weibull model is very appropriate for fitting of the influence mixed traffic flow on car travel delay. (3) The effect of conflict behavior between motorized vehicle and non-motorized vehicle on car travel delay was investigated. Analyze the factors related with conflict behavior causing car travel delay by using hazard-based duration model. Build the mathematic model of car travel delay under the influence of conflict behavior. Results indicate that car travel delay time will increase with conflict type, non-motor number travelling on motor way, the farthest lateral distance from the median line of non-motor, buses number and car number that the tested car follows increase. Weibull model is very appropriate for fitting of the influence conflict behavior on car travel delay.