Big Data Analysis and Potential Development Research of Regional Logistics Warehousing Based on Baidu Index and Warehouse in Cloud

Zhe Wang, Juan Huang, Lijuan Xu, Qiaomei Zeng, Renqiang Li, S. Li, Lin Zhou
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Abstract

Based on the Baidu Index, taking "warehousing" and "warehouse" as the keywords, the Baidu search index of "warehousing" and "warehouse" nationwide is statistically analyzed. It is found that the Baidu search index with "warehousing" and "warehouse" as the keywords has increased significantly before and after the epidemic, indicating that the basic role of logistics warehousing in the national economic and social development is increasingly apparent, and the corresponding demand for logistics warehousing is growing. Based on the big data of Warehouse in Cloud, the incomplete statistical analysis of "warehousing demand" by province (municipality directly under the central government) of "demand location" is similar to the analysis of the differences of different search population sources (regions and provinces) through the "population portrait" of Baidu Index. For the incomplete statistical analysis of "warehousing demand" and "warehousing supply" of cities in Sichuan and Chongqing, the correlation analysis of warehousing rent and demand area is focused on the main cities in Sichuan and Chongqing (incomplete statistics), and on this basis, the potential analysis of warehousing rent and demand area is carried out for the main cities in Sichuan and Chongqing (incomplete statistics). It is found that Chengdu and Chongqing have obvious attraction effect on logistics and warehousing in Sichuan and Chongqing. Moreover, Mianyang, Yibin, Dazhou, Luzhou, Nanchong, Deyang, Zigong and Leshan, have certain economic foundation and comparative advantages in terms of the potential of logistics warehousing rent and the potential of logistics warehousing demand area. Optimizing regional industrial layout, accelerating economic development and transportation logistics construction could play a positive role in achieving regional coordinated development. Furthermore, cultivating and strengthening regional central cities can promote regional coordinated and sustainable development.
基于百度指数和云仓的区域物流仓储大数据分析及发展潜力研究
基于百度指数,以“仓储”和“仓库”为关键词,对全国范围内“仓储”和“仓库”的百度搜索指数进行统计分析。研究发现,以“仓储”、“仓库”为关键词的百度搜索指数在疫情前后均有明显增长,说明物流仓储在国民经济社会发展中的基础性作用日益显现,相应的物流仓储需求也在不断增长。基于云中仓大数据,分省(直辖市)对“需求位置”的“仓储需求”进行不完全统计分析,类似于通过百度指数的“人口画像”分析不同搜索人口来源(地区、省份)的差异。针对川渝城市“仓储需求”与“仓储供给”的不完全统计分析,重点对川渝主要城市(不完全统计)进行仓储租金与需求面积的相关性分析,并在此基础上对川渝主要城市(不完全统计)进行仓储租金与需求面积的潜力分析。研究发现,成都、重庆对川渝物流仓储具有明显的吸引效应。此外,绵阳、宜宾、达州、泸州、南充、德阳、自贡、乐山等城市在物流仓储租金潜力和物流仓储需求区潜力方面具有一定的经济基础和比较优势。优化区域产业布局,加快经济发展和交通物流建设,对实现区域协调发展具有积极作用。培育和加强区域中心城市,促进区域协调可持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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