中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2013, Vol. 32 ›› Issue (5): 991-994.DOI: 10.3969 /j.issn.1674-0696.2013.05.20

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基于VBA 的福建省道路客运需求分布预测

林玉英,陈诚,刘娜翠,邱荣祖   

  1. 福建农林大学交通与土木工程学院,福建福州350002
  • 收稿日期:2012-09-25 修回日期:2013-01-26 出版日期:2013-10-15 发布日期:2014-10-27
  • 作者简介:林玉英( 1988—) ,女,福建龙岩人,硕士研究生,主要从事交通运输规划与管理研究。E-mail: 670285133@ qq. com。
  • 基金资助:
    福建省教育厅高校专项基金项目( JK2010017)

Distribution Forecasting of Road Passenger Transportation Demand in Fujian Based on VBA

Lin Yuying,Chen Cheng,Liu Nacui,Qiu Rongzu   

  1. School of Traffic & Civil Engineering,Fujian Agriculture & Forestry University,Fuzhou 350002,Fujian,China
  • Received:2012-09-25 Revised:2013-01-26 Online:2013-10-15 Published:2014-10-27

摘要: 在分析道路客运需求预测方法的基础上,结合增长系数法中的底特律方法,设计开发基于Excel VBA 的客运 需求分布预测系统。以福建省道路客运需求分布预测为例,将区域划分为9 个交通小区,根据各交通小区近5 年客 运统计数据,综合考虑人口分布与经济发展趋势,通过系统实现了2015 年的道路客运需求分布量的预测。经计算, 预测表与实际调查表平均相对误差率为13. 1%。应用结果表明: 采用该系统预测目标年的客运分布,操作简便,精 度较高,运行速度快,可提高客运规划的工作效率。

关键词: 客运需求分布预测, 底特律法, 四阶段法, Excel VBA

Abstract: On the basis of demand forecasting method of road passenger transportation,combing with one of the growth coefficient method,Detroit method,a system for passenger transportation demand distribution forecasting based on Excel VBA was designed and developed. Fujian province,as case study for road passenger transportation demand distribution forecasting, was divided into 9 traffic villages. According to the passenger traffic statistics data of each traffic village in the nearly 5 years,the system was used to forecast the demand distribution volume for 2015,considering the population distribution and economic development trend. Through calculation,it is found that the average relative error rate is 13. 1% by comparing the forecasting data with survey data. The results show that the proposed system has the advantages of simple operation, high accuracy and operation speed; the working efficiency of the passenger transportation planning can be improved with this system.

Key words: distribution forecasting of passenger transportation demand, Detroit method, four-stage method, Excel VBA

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