| 摘要: |
| 目的 研究在大数据背景下， 餐饮空间规划和消费者行为之间的关系， 为优化空间规划提供依据。 方法 研究消费者的行为流程模式， 找到影响空间规划的行为数据， 分析这些行为数据和餐厅空间规划之间的关系。 结论 寻座和离座行为产生的交通数据是影响餐饮空间规划的直接因素， 等位和就餐行为产生的时间、 消费数据是间接影响因素。关于行为—体验—空间的数据关联分析， 可作为优化空间规划的依据， 能增加消费者的满意度和餐厅的翻台率。 |
| 关键词: 大数据 消费者行为 餐饮空间规划 |
| DOI： |
| 分类号:J524 |
| 基金项目: |
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| Consumer Behavior and Restaurant Spatial Planning Based on Big Data |
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WU Yun
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Jiangnan University，Wuxi 214122，China
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| Abstract: |
| To provide the basis for restaurant spatial planning optimization，it studies the relations between the restaurants planning and consumer behavior based on the big data. According to the consumer behavior mode，the research finds the types of behavior data which influence the restaurant spatial planning， and explores the bilateral relations between them. The communication data derived from the consumers behavior such as looking for seat，leaving seat are the direct factors to restaurant spatial planning.Whereas， the temporal data and the consumption date such as waiting for seat， having dinner， etc are the indirect factors.The correlation analysis between the data of behavior-experience-space， would become the reference for spatial planning and optimization， and promoting the consumers satisfaction and table turnover rate. |
| Key words: big data consumer behaviour restaurant spatial planning |
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