电信科学 ›› 2019, Vol. 35 ›› Issue (9): 124-134.doi: 10.11959/j.issn.1000-0801.2019214

• 运营技术广角 • 上一篇    下一篇

全面实施携号转网对我国移动通信市场影响

胡文玉1,2,窦晓燕2   

  1. 1 首都经济贸易大学,北京 100070
    2 北京中智博咨询有限公司,北京 102200
  • 修回日期:2019-09-02 出版日期:2019-09-20 发布日期:2019-09-30
  • 作者简介:胡文玉(1997- ),男,首都经济贸易大学博士生,北京中智博咨询有限公司运营总监,主要研究方向为信息通信技术(ICT)服务与消费洞察研究、数据分析与建模、空间计量分析。|窦晓燕(1996- ),女,现就职于北京中智博咨询有限公司,主要研究方向为通信企业客户感知服务咨询、数据分析与挖掘。

Impact of the nationwide implementation of mobile number portabilityon mobile communications market

Wenyu HU1,2,Xiaoyan DOU2   

  1. 1 Capital University of Economics and Business,Beijing 100070,China
    2 Sciresearch Consulting Co.,Ltd.,Beijing 102200,China
  • Revised:2019-09-02 Online:2019-09-20 Published:2019-09-30

摘要:

以我国移动用户为研究对象,采用随机抽样的调查方法,通过电话外呼的调查方式,对我国移动业务携号转网后移动通信市场格局及影响进行研究,运用“马尔可夫概率转移矩阵”对实施携号转网后全国及南北方移动电话市场份额进行了预测,并创新地提出“携号转网流向路径模型”。此外,重点围绕“区域特征、在网时长、ARPU值和携号转网人数”等对3家通信运营商携号转网用户的关注点及转出和转入原因进行深入剖析。结果表明:网龄越长、ARPU值越高,携号转网意愿越强;北方用户携号转网意愿高于南方。本文结论将为通信企业经营决策提供参考。

关键词: 携号转网, 马尔可夫概率转移矩阵, 携号转网流向路径模型, 市场份额预测, 马尔可夫性检验

Abstract:

China’s mobile users were taken as a research object,using the random sampling survey method and the survey way of CATI (computer-assisted telephone interviewing) to conduct research on the mobile subscribers market’s structure and impact after implementation of MNP (mobile number portability).The Markov probability transfer matrix was used to predict the market share of mobile phones in China,North China and South China after the implementation of MNP.And the inflow and outflow path model was proposed innovatively.In addition,the focus was on regional characteristics,duration of use,ARPU value and number of MNP to further analyze the concerns and reasons of MNP.The result shows that the longer duration of use,the higher the ARPU value,and the stronger the willingness to choose other operators and the northern subscribers have more willing than the southern.The conclusions provide reference for the decision-making of communication operators.

Key words: MNP, Markov probability transfer matrix, inflow and outflow path model, market share forecast, Markov characteristic test

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