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地铁空调设计中车站客流量影响因素与预测

Influencing Factors and Prediction of Station Passenger Flow in Metro Air-Conditioning System Design

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【作者】 于梦薇樊越胜

【Author】 YU Mengwei;FAN Yuesheng;

【通讯作者】 樊越胜;

【机构】 西安建筑科技大学建筑设备科学与工程学院

【摘要】 根据样本数据,筛选与车站日最大小时客流量相关性显著的影响因素,归纳车站日最大小时客流量多元线性回归模型。计算影响因素贡献率,评价对车站日最大小时客流量影响程度。影响因素接对车站日最大小时客流量影响程度由强到弱的顺序为:旅游休闲设施数量、常住人口数量、商业金融设施数量、生活配套设施数量、城市人均GDP、交通联系设施数量、行政办公设施数量、枢纽站、中央商务区、端头站、换乘站。

【Abstract】 Based on the sample data,the influencing factors that are significantly correlated with the daily maximum hourly passenger flow of the station were screened,and the multiple linear regression model for the daily maximum hourly passenger flow of the station was summarized.The contribution rates of the influencing factors were calculated,and the influence on the maximum daily hourly passenger flow of the station was evaluated.The order of influencing factors from strong to weak is:number of tourism and leisure facilities,number of permanent residents,number of commercial and financial facilities,number of supporting living facilities,per capita GDP of the city,number of transportation connection facilities,number of administrative office facilities,hub stations,central business districts,terminal stations,and transfer stations.

  • 【分类号】U231.4;TU962
  • 【下载频次】5
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