|本期目录/Table of Contents|

[1]王雅坤,卢昕玮,陈巧丽,等.外卖配送公共交通违法行为影响因素分析[J].中国安全生产科学技术,2019,15(12):169-174.[doi:10.11731/j.issn.1673-193x.2019.12.027]
　WANG Yakun,LU Xinwei,CHEN Qiaoli,et al.Analysis on influencing factors of public traffic violation behavior in take out delivery[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(12):169-174.[doi:10.11731/j.issn.1673-193x.2019.12.027]
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外卖配送公共交通违法行为影响因素分析
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
15
期数:
2019年12期
页码:
169-174
栏目:
职业安全卫生管理与技术
出版日期:
2019-12-31

文章信息/Info

Title:
Analysis on influencing factors of public traffic violation behavior in take out delivery
文章编号:
1673-193X(2019)-12-0169-06
作者:
王雅坤; 卢昕玮; 陈巧丽; 刘野
（1.长安大学 经济与管理学院，陕西 西安 710000;
2.西安科技大学 测绘科学与技术学院，陕西 西安 710000）
Author(s):
WANG Yakun;  LU Xinwei;  CHEN Qiaoli;  LIU Ye
(1.School of Economics and Management,Chang’an University,Xi’an Shaanxi 710000,China;
2.School of Surveying and Mapping Science and Technology,Xi’an University of Science and Technology,Xi’an Shaanxi 710000,China)
关键词:
外卖配送; 交通违法; Logistic回归; 灰色关联分析法
Keywords:
takeout delivery;  traffic violation;  Logistic regression;  grey relational analysis
分类号:
X952；U49
DOI:
10.11731/j.issn.1673-193x.2019.12.027
文献标志码:
A
摘要:
通过问卷调查研究外卖配送公共交通违法行为影响因素，将外卖配送员分为曾经发生过和未发生过公共交通违法行为2组样本。通过Logistic回归对比分析，发现影响外卖配送员是否会发生公共交通违法行为的因素为平均每月送餐收入和平均每单配送距离；接着对其中发生过公共交通违法行为的1组样本，运用灰色关联分析法判断外卖配送员发生公共交通违法行为的主要驱动因素是平均每日接单数量、平均每月送餐收入以及平均每单配送时长，并根据影响因素提出了解决该问题的针对性长期建议。
Abstract:
The influencing factors of public traffic violation behavior in the takeout delivery were studied through the questionnaire survey,and the takeout deliverymen were divided into two groups of samples with and without the occurrence of public traffic violation behavior.Through the Logistic regression comparison and analysis,it showed that the factors influencing the takeout deliverymen for whether occurring the public traffic violation behavior were the average monthly food delivery income and the average delivery distance per order.Aiming at one group of samples with the occurrence of public traffic violation behavior,the grey relational analysis method was applied to judge that the main driving factors of public traffic violation behavior in the takeout deliver were the average number of orders per day,the average monthly food delivery income and the average delivery time per order.Finally,the targeted longterm suggestions for solving this problem were put forward according to the influencing factors.

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相似文献/References:

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备注/Memo

备注/Memo:
收稿日期： 2019-09-23
作者简介： 王雅坤，硕士研究生，主要研究方向为统计方法应用。
更新日期/Last Update: 2020-01-09