基于小波离散分析的公交移动支付周期特征分析  

Analysis on Periodic Characteristics of Public Transportation Mobile Payment Based on Wavelet Discrete Analysis

作　　者：韩涛 崔继峰[1] 王雅琪 邵森华 HAN Tao;CUI Ji-feng;WANG Ya-qi;SHAO Sen-hua(College of Science,Inner Mongolia University of Technology,Hohhot 010051,China;College of Economics and Management,Inner Mongolia University of Technology,Hohhot 010051,China)

机构地区：[1]内蒙古工业大学理学院,内蒙古呼和浩特010051 [2]内蒙古工业大学经济管理学院,内蒙古呼和浩特010051

出　　处：《数学的实践与认识》2021年第8期18-24,共7页Mathematics in Practice and Theory

基　　金：国家自然科学基金(12062018);内蒙古自治区自然科学基金(2018LH01016);内蒙古工业大学科学研究重点项目(ZD201613);内蒙古工业大学2018年校级教改立项项目(2018107)。

摘　　要：针对杭州市居民公交移动支付问题,提出了一种基于小波离散分析的移动支付周期特征探查方法.首先,基于2017年杭州市居民公交移动支付时间序列,利用Morlet离散小波变换进行多时间尺度分析,得到居民移动支付的主周期变化规律;其次根据支付时间间隔的正态分布规律,对小波离散分析所得结果进行对比验证.结果表明:杭州市4个月的居民平均移动支付周期存在明显的季节差异,2月最长,为0.6521天,结果与实际居民移动出行支付情况和统计对比结果一致.In this paper,a mobile payment periodicity probing method based on wavelet discrete analysis is proposed for Hangzhou residents’ public transportation mobile payment.Firstly,based on the time series of public transportation mobile payment in Hangzhou in 2017,Morlet discrete wavelet transform is used for multi-time scale analysis to obtain the primary period law of residents’ mobile payment.Secondly,according to the normal distribution law of payment intervals,the results of discrete wavelet analysis are compared and verified.The results show that there are obvious seasonal differences in the average mobile payment period of residents in Hangzhou for four months and the longest month is February,which is 0.6521 days.The results are consistent with the actual situation of residents’ mobile payment and statistical comparison results.

关 键 词：小波离散分析 杭州市 公交 移动支付 期性支付特征 

分 类 号：F572.88[经济管理—产业经济] F832.2F724.6F224