共享单车运营分析及决策研究

张红; 周迪新; 程传祺; 沙毓

doi:10.11959/j.issn.2096-0271.2019007

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共享单车运营分析及决策研究

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- 共享单车运营分析及决策研究
- Study on operation analysis and decisionmaking for sharing-bicycles
- 大数据 2019年5卷第1期页码：2019007
- 作者机构：
- 作者简介：
  
  [ "张红（1977- ），女，博士，兰州理工大学副教授，主要研究方向为交通大数据、机器学习。" ]
  [ "周迪新（1996- ），男，兰州理工大学本科生，主要研究方向为机器学习、数据挖掘。" ]
  [ "程传祺（1995- ），男，兰州理工大学硕士生，主要研究方向为机器学习。" ]
  [ "沙毓（1996- ），男，兰州理工大学本科生，主要研究方向为机器学习。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(No.61663021);甘肃省高校科研基金资助项目;Scientific Research Projects of Universities in Gansu(No.2015B-031)
- DOI：10.11959/j.issn.2096-0271.2019007
  中图分类号： TP393
- 网络首发：2019-01，
  
  纸质出版：2019-01-15
- 稿件说明：
移动端阅览
张红, 周迪新, 程传祺, 等. 共享单车运营分析及决策研究[J]. 大数据, 2019,5(1):2019007.

Hong ZHANG, Dixin ZHOU, Chuanqi CHENG, et al. Study on operation analysis and decisionmaking for sharing-bicycles[J]. Big data research, 2019, 5(1): 2019007.
张红, 周迪新, 程传祺, 等. 共享单车运营分析及决策研究[J]. 大数据, 2019,5(1):2019007. DOI： 10.11959/j.issn.2096-0271.2019007.

Hong ZHANG, Dixin ZHOU, Chuanqi CHENG, et al. Study on operation analysis and decisionmaking for sharing-bicycles[J]. Big data research, 2019, 5(1): 2019007. DOI： 10.11959/j.issn.2096-0271.2019007.

摘要

针对共享单车运营过程中出现的分配不均衡和调度不合理的问题，基于某城市10个区域的共享单车骑行记录数据，综合应用时空统计及回归演绎分析和群智能算法，在分析共享单车时空分布特征的基础上，研究了基于蚁群算法的单车调度路径优化，设计了基于满足程度的共享单车区域最佳分配方案，并建立了共享单车投放量和打车人次间的回归模型，探讨了共享单车对打车市场的影响。研究结果对解决共享单车运营中存在的问题和提高共享单车运营效率及管理水平有重要的指导意义。

Abstract

Aiming at the problem of unbalanced distribution and unreasonable scheduling in the process of sharing-bicycles operating

based on the data of sharing-bicycles riding record for ten regions in a city

spatio-temporal statistics

regression deduction analysis and swarm intelligence algorithm were synthetically applied to analyze the spatio-temporal distribution characteristics and the optimization of path scheduling based on ant colony algorithm of sharing-bicycles was studied. At the same time

a optimal allocation scheme of sharing-bicycles based on satisfaction degree was designed. Finally

a regressive model of the number of bikes and taxi passengers was established to discuss the influence of sharing-bicycles on the taxi market. The research resultshave important guiding significance for solving the problems existing in the process of running and improving the operational efficiency and management level of sharing-bicycles.

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