- 无标题文档
查看论文信息

中文题名:

 政府收车如何影响共享单车订单完成量 ——基于干预分析模型的视角    

姓名:

 汪嘉渊    

学科名称:

 经济学类 - 经济学    

学生类型:

 学士    

学位名称:

 经济学学士    

学校:

 中国人民大学    

院系:

 经济学院    

专业:

 经济学    

第一导师姓名:

 .    

完成日期:

 2020-06-30    

提交日期:

 2020-09-15    

中文关键词:

 共享单车 政府 订单量 干预分析模型    

中文摘要:
p共享单车作为一种在居民日常生活中越来越重要的出行方式,一种低碳环保、绿色清洁并与互联网结合的新型模式,在其发展过程中出现了乱停乱放、占用机动车车位等新问题,这些问题的解决仅仅依靠企业本身是无法实现的,这便给政府在城市空间管理和行政执法方面提出了新的挑战。针对曲靖市在创建全国文明城市过程中,为整治市容市貌而大规模没收共享单车的现象,本文基于干预分析模型的视角,对政府收车在多大程度上降低了哈罗助力车的订单完成量进行了量化分析,并就政府、企业以及民众三方在共享单车的治理中的作用进行了探讨。/p
外文摘要:
pAs an increasingly important way of travel in the daily life of residents,is a new mode of low-carbon environmental protection,green and clean combined with the Internet. In the process of its development,new problems such as random parking and occupying motor vehicle parking spaces have arisen. These problems cannot be solve only by enterprises themselves,which will give the government new challenges in the field of urban space management and administrative law enforcement. The background of this paper is that Qujing confiscated shared bicycles on a large scale in order to renovate its city appearance in the process of creating a civilized city in China. Based on the perspective of intervention analysis model,this paper quantitatively analyses the extent to which the government's shared bicycles collection reduces the order completion of Harrow's bicycles,and discusses the role of the government,enterprises and the public in the governance of sharing bicycles./p p /p
论文分类号:

 .    

总页码:

 18    

参考文献:

[1]诸大建.《搞好共享单车需要理论探索》[N].文汇报2017 005

[2]冯文权、蔡基栋.《干预分析模型及其应用》[J].武汉大学学报自然科学版 1994(6):29-35

[3]冯文权.《政策干预或突发事件影响的统计分析模型》[J].统计与决策1990(6):8-11

[4]郭鹏、林祥枝、黄艺、涂思明、白晓明、杨雅雯、叶林.《共享单车:互联网技术与公共服务中的协同治理》[J].公共管理学报2017(03):1-10

[5]何艳玲、郑文强.《“回应市民需求”:城市政府能力评估的核心》[J].同济大学学报社会科学版2014(06):56-65

[6]姜梦杰、刘星雨、严滢钊.《财务视角分析哈罗单车战略及挑战》[J].会计师2018 (11):27-28

[7]王岳龙.《土地招拍挂制度在多大程度上提升了房价?——基于“8.31大限”的干预分析模型研究》[J].财贸研究2012(03):31-39

[8]徐国祥.《统计预测和决策》[M]. 上海财经大学出版社2005.396

[9]杨立、常巍.《干预分析模型在中国GDP预测中的应用》[J].经济研究导刊2009(01):7-8

[10]叶林.《转型过程中的中国城市管理创新:内容、体制及目标》[J].中国行政管理2012(10):73-77

[11]张一进、张金松.《政府监管与共享单车平台之间的演化博弈》[J].统计与决策2017(23):64-66

[12]Borde JP,Litterst S,Ruhnke M,et al. Implementing an intensified antibiotic stewardship programme targeting cephalosporin and fluoroquinolone use in a 200-bed community hospital in Germany. Infection,20151:45-50

[13]Box G,Tiao GC. Intervention Analysis with Applications to Economic and Environmental Problems. Journal of the American Statistical Association,1975349:70-79

[14]CAMPBELLA,CHERRY C,RYERSON M,et al,Factors influencing the choice of shared bicycles and shared electric bikes in Beijing[J].Transportation Research Part C,20166:399-414

[15]EL-ASSI W,MAHMOUD M,HABIB K. Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto[J].Transportation,2017 3 : 589-613

[16]FAGHIH-IMANI A,ELURU N,EL-GENEIDY A,et al.How land use and urban form impact bicycle flows: evidence from the bicycle-sharing systemBIXI in Montreal[J].Journal of Transport Geography,201412:306-314

[17]FAGHIH-IMANI A,HAMPSHIRER,MARLA L,et al. An empirical analysis of bike sharing usage and rebalancing: evidence from Barcelona and Seville[J].Transportation Research Part A,2017 3:177-191

[18]FISHMAN E,WASHINGTON S,HAWORTH N,et al. Barriers to bikesharing: an analysis from Melbourne and Brisbane[J].Journal of Transport Geography,201412:325-337

[19]GEBHART K,NOLAND R. The impact of weather conditions on bikeshare trips in Washington D C[J].Transportant,20146:1205-1225

[20]MATTSON J,GODAVARTHY R.Bike share in Fargo,North Dakota: keys to success and factors affecting ridership[J].Sustainable Cities and Society,201710:174-182

[21]NOSAL T,MIRANDA-MORENO. The effect of weather on the use of North American bicycle facilities: a multi-city analysis using automatic counts[J].Transportation Research Part A,20148:213-225

[22]RIXEYR. Station-level rorecasting of bikesharing ridership: station network effects in three U. S. systems[J].Transportation Research Record: Journal of the Transportation Research Board,20131:46-55

[23]WANG X,LINDSEY G,SCHONER J,et al.Modelling bike share station activity: effects of nearby businesses and jobs on trips to and from stations[J] Journal of Urban Planning and Development,2016 1:1-9

开放日期:

 2020-09-15    

无标题文档

   建议浏览器: 谷歌 火狐 360请用极速模式,双核浏览器请用极速模式