个体特征对步行通道行人最大通过量的影响

Impact Analysis of Individual Characteristics on Pedestrian Maximum Volume

摘要:

选取年龄、性别、携带行李状况作为表征行人个体特征的3个要素.首先分析了这3个要素对个体空间占用和步行速度的影响，进而利用Legion仿真工具研究这三要素对行人最大通过量的作用.研究表明，年龄、性别和携带行李状况都对行人最大通过量有不同程度的影响.随着行人流中个体年龄增加，行人流的最大通过量呈下降趋势，尤其是由老年人构成的行人流，其最大通过量较青年人下降23%～30%；性别对最大通过量的影响总体较小，在10%以内；随着个体携带行李尺寸的增加，最大通过量也显著下降，由携带小行李组成的行人流其最大通过量较不携带行李约下降35%，携带中等行李较不携带行李约下降60%，携带大行李较不携带行李约下降75%.研究成果有助于加深理解行人个体特征与交通流群集移动特性的联动关系，并为由不同个体行人组成特征下的通行能力修正提供参考依据.

Abstract:

Age, gender and luggage laden are selected as three factors of pedestrian individual characteristics. The influences of the three factors on personal space occupation and walking speed are analyzed. Accordingly the influence of the three factors on pedestrian maximum volume is studied by using the Legion simulation tool. The results show that age, gender and luggage laden have different influence on pedestrian maximum volume. With the increase of individual age, the maximum volume keeps the trend of decrease, especially the elderly pedestrian flow decreases by 23%~30% compared with the youth. The gender, however, has less influence, which is within 10%. The maximum volume has a remarkable reduction as the size of the luggage increases. The maximum volume of pedestrian flow carrying small luggage decreases by 35% compared to the pedestrian flow without luggage. Similarly, the pedestrian flow with medium luggage has a 60% reduction and the flow with large luggage has a 75% reduction compared to the pedestrian flow without luggage. Findings of this research are expected to enhance the knowledge of the relationship between pedestrian individual characteristics and pedestrian flow, and to be valuable for determining the capacity of facilities with different pedestrian compositions.