城市出租车资源供求匹配程度的数据分析  

Data Analysis of Supply and Demand Matching Degree of Urban Taxi Resources

作　　者：李富荣 高卓[2] 

机构地区：[1]华南农业大学珠江学院信息工程学院,广州510900 [2]华南农业大学珠江学院基础部,广州510900

出　　处：《海南热带海洋学院学报》2018年第2期106-111,共6页Journal of Hainan Tropical Ocean University

基　　金：国家级大学生创新创业训练计划项目(201612623005);广东省特色创新类项目(2016GXJK222);广东省教育教学成果奖培育项目(1322);广东省青年创新人才项目(2015KQNCX234);2017年"攀登计划"广东大学生科技创新培育自然科学类一般项目(pdjh2017b0972)

摘　　要：本文通过查找数据分析了不同城市、不同时间段内出租车资源的供求匹配程度.根据不同等级城市,分别选取了北京、深圳、广州、杭州、成都、南京、宁波、济南八个城市的相关数据.首先运用主成分分析法及Excel软件从选取的9项指标中提取到打车需求量、市中心出租车拥有量、里程利用率3项主要成分指标,再通过加权系数算法得到出租车资源分配的偏好匹配指数,最后建立了Panel data模型.结果表明8个城市中供求匹配程度均衡的有深圳、杭州、宁波、济南;供大于求的城市有北京、南京;供不应求的城市有广州和成都.This paper analyzed the supply and demand matching degree of taxi resources in different cities and during different time periods by sorting out the data. According to different grades of cities, the related data of eight cities—Beijing, Shenzhen, Guangzhou, Hangzhou, Chengdu, Nanjing, Ningbo and Ji’nan—were selected. By using principal component analysis （PCA）, three main indicators were extracted from the nine indicators selected by Excel, namely, taxi demand, taxi ownership and mileage utilization rate in the main city. The preference matching index of taxi resource allocation was obtained by weighing coefficient algorithm. Then the Panel data model was established. The conclusion was drawn that the equilibrium of supply and demand is balanced in four cities, that is Shenzhen, Hangzhou, Ningbo and Ji’nan in the eight cities, while the cities with oversupply are Beijing and Nanjing and the cities with short supply are Guangzhou and Chengdu.

关 键 词：供求匹配 主成分分析 加权系数 PANEL DATA模型 

分 类 号：O22[理学—运筹学与控制论] C931.1[理学—数学]