汽车年检状况与经济发展的相关性研究

Heer Huang
{"title":"汽车年检状况与经济发展的相关性研究","authors":"Heer Huang","doi":"10.1109/ICCR55715.2022.10053934","DOIUrl":null,"url":null,"abstract":"The flow of logistics vehicles is one of the important indicators of local economic development, but it is difficult to reflect the development of people's living standards. By contrast, the data of annual inspection vehicles can reflect the situation of local economy and people's living standards more comprehensively. This paper aims to research the correlation between the vehicles' annual inspection and economic development as well as living standards from multidimensional perspectives. Besides, new methods of studying economy and new perspectives on analyzing data are proposed in this paper. From a time perspective, statistics on the quantity of vehicles inspection and local annual inspection rate. From a spatial point of view, statistics on the inspection status of vehicles in different regions and types. Incorporating the local transportation, policies, people's living standards, economic development status, industrial distribution, etc. The contrastive analysis method, grouping analysis method and predictive analysis method are used to dissect the current situation of urban development. The laws of physics behind the data show that: 1) The annual inspection number and growth trend of vehicles compared with the local GDP and its growth rate show a positive correlation, which explains that the vehicles annual inspection status has a strong correlation with the economic development. 2) Combined with the cardinal number of local annual vehicles inspection and annual inspection rate, comparing with the economic situation of each county and district. Its changing trend presents connection with the local economic development level, which shows that the changing trend partly reflects the local economic development level in recent years and its space for rising. 3) Besides the economic center, the destinations where vehicles markedly flow to also includes the neighboring counties with higher economic level. To some extent, it not only reflects the economic disparities between counties and districts, but also comprehensively reflects the economic interaction between counties and districts. 4) The annual inspection distribution of different types of vehicles differ from all vehicles, each with its own characteristics. On a certain level, it shows the distribution characteristics of economically active areas such as urban chemical industry, population-intensive areas, external trade industry, etc.","PeriodicalId":441511,"journal":{"name":"2022 4th International Conference on Control and Robotics (ICCR)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Correlation between the Vehicles' Annual Inspection Status and Economic Development\",\"authors\":\"Heer Huang\",\"doi\":\"10.1109/ICCR55715.2022.10053934\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The flow of logistics vehicles is one of the important indicators of local economic development, but it is difficult to reflect the development of people's living standards. By contrast, the data of annual inspection vehicles can reflect the situation of local economy and people's living standards more comprehensively. This paper aims to research the correlation between the vehicles' annual inspection and economic development as well as living standards from multidimensional perspectives. Besides, new methods of studying economy and new perspectives on analyzing data are proposed in this paper. From a time perspective, statistics on the quantity of vehicles inspection and local annual inspection rate. From a spatial point of view, statistics on the inspection status of vehicles in different regions and types. Incorporating the local transportation, policies, people's living standards, economic development status, industrial distribution, etc. The contrastive analysis method, grouping analysis method and predictive analysis method are used to dissect the current situation of urban development. The laws of physics behind the data show that: 1) The annual inspection number and growth trend of vehicles compared with the local GDP and its growth rate show a positive correlation, which explains that the vehicles annual inspection status has a strong correlation with the economic development. 2) Combined with the cardinal number of local annual vehicles inspection and annual inspection rate, comparing with the economic situation of each county and district. Its changing trend presents connection with the local economic development level, which shows that the changing trend partly reflects the local economic development level in recent years and its space for rising. 3) Besides the economic center, the destinations where vehicles markedly flow to also includes the neighboring counties with higher economic level. To some extent, it not only reflects the economic disparities between counties and districts, but also comprehensively reflects the economic interaction between counties and districts. 4) The annual inspection distribution of different types of vehicles differ from all vehicles, each with its own characteristics. On a certain level, it shows the distribution characteristics of economically active areas such as urban chemical industry, population-intensive areas, external trade industry, etc.\",\"PeriodicalId\":441511,\"journal\":{\"name\":\"2022 4th International Conference on Control and Robotics (ICCR)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th International Conference on Control and Robotics (ICCR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCR55715.2022.10053934\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Control and Robotics (ICCR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCR55715.2022.10053934","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

物流车辆流量是衡量地方经济发展的重要指标之一,但很难反映人民生活水平的发展。相比之下,年检车辆的数据可以更全面地反映当地的经济状况和人民的生活水平。本文旨在从多维角度研究车辆年检与经济发展和生活水平的相关性。此外,本文还提出了研究经济的新方法和分析数据的新视角。从时间角度统计车辆检验数量和地方年检率。从空间角度,统计不同区域、不同类型车辆的检验状况。结合当地交通、政策、人民生活水平、经济发展状况、产业分布等。运用对比分析法、分组分析法和预测分析法对城市发展现状进行剖析。数据背后的物理规律表明:1)车辆年检次数与增长趋势与当地GDP及其增长率呈正相关关系,说明车辆年检状况与经济发展具有很强的相关性。2)结合当地车辆年检基数和年检率,对比各县区的经济情况。其变化趋势与地方经济发展水平存在联系,说明其变化趋势部分反映了近年来地方经济发展水平及其上升空间。③除经济中心外,车辆显著流向的目的地还包括经济水平较高的周边县域。在一定程度上,它不仅反映了县区之间的经济差异,而且综合反映了县区之间的经济互动。4)不同类型车辆的年检分布与所有车辆不同,各有特点。在一定程度上,它显示了城市化学工业、人口密集地区、外贸工业等经济活跃区域的分布特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Research on the Correlation between the Vehicles' Annual Inspection Status and Economic Development
The flow of logistics vehicles is one of the important indicators of local economic development, but it is difficult to reflect the development of people's living standards. By contrast, the data of annual inspection vehicles can reflect the situation of local economy and people's living standards more comprehensively. This paper aims to research the correlation between the vehicles' annual inspection and economic development as well as living standards from multidimensional perspectives. Besides, new methods of studying economy and new perspectives on analyzing data are proposed in this paper. From a time perspective, statistics on the quantity of vehicles inspection and local annual inspection rate. From a spatial point of view, statistics on the inspection status of vehicles in different regions and types. Incorporating the local transportation, policies, people's living standards, economic development status, industrial distribution, etc. The contrastive analysis method, grouping analysis method and predictive analysis method are used to dissect the current situation of urban development. The laws of physics behind the data show that: 1) The annual inspection number and growth trend of vehicles compared with the local GDP and its growth rate show a positive correlation, which explains that the vehicles annual inspection status has a strong correlation with the economic development. 2) Combined with the cardinal number of local annual vehicles inspection and annual inspection rate, comparing with the economic situation of each county and district. Its changing trend presents connection with the local economic development level, which shows that the changing trend partly reflects the local economic development level in recent years and its space for rising. 3) Besides the economic center, the destinations where vehicles markedly flow to also includes the neighboring counties with higher economic level. To some extent, it not only reflects the economic disparities between counties and districts, but also comprehensively reflects the economic interaction between counties and districts. 4) The annual inspection distribution of different types of vehicles differ from all vehicles, each with its own characteristics. On a certain level, it shows the distribution characteristics of economically active areas such as urban chemical industry, population-intensive areas, external trade industry, etc.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Mobile Humanoid Robot Control through Object Movement Imagery Optimization of Two-end Access Platform Automated Warehouse Storage Allocation Long-Tailed Object Mining Based on CLIP Model for Autonomous Driving Node Deployment and Energy Saving Optimization Method for Wireless Sensor Networks Based on Q-learning Off-policy Q-learning-based Tracking Control for Stochastic Linear Discrete-Time Systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1