大型公共场所行人到达与离去特性分析

Analysis of Pedestrian Arrival-Departure Characteristics in Large-Scale Public Space

为探讨大型公共场所行人到达与离去特性,以宁波市天一广场为调查对象,采集广场内基础设施信息和行人到达与离去的流量参数,利用SPSS单样本K-S检验法分析行人流量随时间的变化特性,并通过Origin拟合行人到达与离去曲线关系。结果表明:宁波市天一广场大型公共场所内的行人到达与离去特性符合多峰正态分布,工作日和非工作日的行人到达和离去特性函数的R2值分别为0.9297、0.9568、0.9253、0.9214。研究结果进一步丰富了大型公共场所行人交通管理的基础数据,为大型公共场所交通设计和安全应急疏散提供了有益借鉴。

In order to analyze the pedestrian arrival and departure characteristics in the large-scale public space（LSPS）, in this paper, the pedestrian traffic data collection test is designed in the LSPS, at the same time, the infrastructure information and number of pedestrian arrival and departure are also observed by camera survey method at Ningbo Tian-yi Square, and then, the change of pedestrian traffic characteristics with time is analyzed by using the single sample K-S test in the SPSS, and the relationship between pedestrian arrival and departure curve is fitted by the Origin software. The results show that, pedestrian arrival and departure characteristics are consistent with normal distribution at Ningbo Tian-yi Square. During the working day, the pedestrian arrival characteristics meet the normal function, and its good value R2 value is 0.9297. The pedestrian departure characteristics also satisfy the normal function, whose benign R2 value is 0.9568. In non-working hours, the characteristics of pedestrian arrivals and departures also meet the normal function, with the value of the benign R2 being 0.9253 and 0.9214. The results enrich the basic data of pedestrian traffic management in the LSPS, and provide useful reference for traffic design and safe evacuation in the LSPS.