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A field study and analysis of passengers arriving at lift lobbies in social groups in multi-storey office, hotel and residential buildings

机译:多层办公室,酒店及住宅建筑中乘客乘客乘客乘客的实地研究与分析

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摘要

This field study was made to study the size of social groups among passengers travelling with lifts. The group size was observed in three types of buildings located in four countries, totally in nine multi-storey buildings. The observations were carried out manually for 12 hours on a normal weekday. Analysis results show that the daily mean group size was generally low: 1.2-1.3 persons in the offices, 1.3-2.0 persons in the hotels and 1.1-1.4 persons in the residential buildings. Hourly means differed significantly from the daily means for each building. This suggests that group size should be considered on hourly or shorter basis. In addition, goodness-of-fit tests were conducted to determine a statistical model for the group size. A geometric distribution was found to fit the data the best across all building types which simplifies modeling of passenger group arrivals in buildings.Practical application: This article contributes to the understanding of lift passenger tendency to travel in socially connected groups in multi-storey buildings. A unique data set of group size observations around the world is reported on an hourly basis for office, hotel and residential buildings. A geometric distribution is proposed to model the group size statistically, which simplifies the use of socially connected groups when generating passengers in lift traffic simulations. The real-world data and the statistical model of the group size enable more realistic lift traffic simulations that are routinely conducted during the design phase of multi-storey buildings.
机译:该实地研究是为了研究与升降机一起旅行的乘客社会群体的大小。在四种国家的三种建筑物中观察到群体规模,完全九大建筑物。观察结果在正常的工作日手动进行12小时。分析结果表明,每日平均群体规模一般低:1.2-1.3在办事处,酒店1.3-2.0人员,住宅建筑中1.1-1.4人。每小时意味着每栋建筑的日常手段都有显着不同。这表明应在每小时或较短的基础上考虑组规模。此外,进行了良好的拟合测试,以确定组大小的统计模型。发现几何分布符合所有建筑类型的数据,这简化了乘客集团抵达的乘客集团在建筑物中的建模.Practical申请:本文有助于了解在多层建筑中在社会连接群体中旅行的电梯乘客倾向。在办公室,酒店和住宅建筑的每小时报告全球各地的一组群体组大小观测集。建议在统计上统计上模拟组大小的几何分布,这简化了在提升流量仿真中产生乘客时的社会连接的组的使用。基团大小的真实数据和统计模型使得在多层建筑物的设计阶段经常进行的更现实的提升业务仿真。

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