In recent years,the rapid growth of air passenger transportation has progressively constrained landside traffic resources at airports.As a crucial interface between internal and external airport traffic,the passenger drop-off areas experiences significant conflicts between pedestrians and vehicles,leading to inefficiencies in traffic operations.This study focuses on a domestic airport,utilizing field investigation video data to develop a vehicle yield model based on Logistic regression.In addition,a survey was conducted to gather passengers'preferences in the drop-off area,focusing on three attributes:efficiency,safety,and comfort.These data were then used to develop a simulation model of pedestrian-vehicle conflicts in the drop-off environment.The simulation model was employed to investigate various conflict scenarios within the drop-off area.The simulation results reveal that in drop-off areas with multiple road structures,the likelihood of jaywalking is influenced by traffic density and the frequency of required crossings.Higher traffic density and more frequent crossings result in a lower rate of jaywalking.The highest rate of jaywalking recorded for passengers in the middle lane was 6.8%,compared to a rate of 2.1%for passengers in the outer lane.When the distance between the sidewalk and entrance is doubled,the average jaywalking rate of passengers dropped off in the outer lane increases by 1.6%,while the average jaywalking rate of passengers dropped off in the middle lane increases by 0.9%.Furthermore,restricting passenger jaywalking effectively reduces the number of vehicle concessions during off-peak periods,thereby improving traffic efficiency in the drop-off areas.
关键词
交通工程/落客区/扩展决策场/车辆—旅客行为/Logistic回归模型
Key words
traffic engineering/passenger drop-off area/extended decision field theory/vehicle-passenger behavior,Logistic regression model
万方数据