基于大数据的快递物流选址研究及实证分析
首发时间:2023-01-12
摘要:近年来,我国电商交易规模迅速扩大,与此同时,消费者们在生产和生活服务上不断提高需求,共同推动了快递物流业与智慧物流模式的迅速发展,快递物流业也面临着新的难题,如管理理念落后,信息化水平与服务水平低,仓储用地稀少等,亟待解决。为解决以上难题,本研究在大数据+智慧物流背景下,建立选址逻辑距离模型,将路况大数据、地理大数据代入模型,使其更符合现代城市复杂多变的交通与路网规划,更具实用性;改良k-means聚类算法为LK-means算法,将传统欧氏距离修改为逻辑距离模型,在原有点中扩建选址而非增添新的中心选址点,贴合现代城市仓储用地稀少的情况,降低固定建设成本。代入具体算例,基于K-means算法与LK-means算法使用python与matlab编程得出选址方案并对比分析验证其优越性。
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Research and empirical analysis of express logistics site selection based on big data
Abstract:With the rise of social software and self-media, the profession of "Internet celebrity" came into being, which has produced great social influence and economic benefits. Therefore, this paper decides to discuss the Internet celebrity economic model based on the Internet platform, which can be understood to a certain extent as using the traffic effect brought by Internet celebrity characters or behaviors to achieve the purpose of word-of-mouth marketing, and the analysis of relevant factors affecting word-of-mouth marketing from this perspective. Through the analysis of the research status of the characteristics and strategies of domestic Internet celebrity economy and online word-of-mouth, it was decided to study word-of-mouth marketing under the background of online celebrity economy based on the 5T model, put forward 8 hypotheses, innovatively put forward the amplification and neglect hypotheses in word-of-mouth marketing, issued questionnaires, analyzed and studied through factor analysis methods and correlation analysis methods, and concluded the amplification and neglect of following Internet celebrities in word-of-mouth marketing, and provided certain management suggestions.
Keywords: Management Science and Engineering Internet celebrity economy Internet Word of Mouth Marketing SPSS
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基于大数据的快递物流选址研究及实证分析
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