首页> 外文会议>IEEE International Conference on Big Data Analytics >Why Popular? A Quantitative Analysis of Catering Consumption within Mega City
【24h】

Why Popular? A Quantitative Analysis of Catering Consumption within Mega City

机译:为什么流行?巨型城市餐饮消费量分析

获取原文

摘要

With the continuous economic growth and population migration, the number of mega cities in the world is gradually increasing, and their impact also involves all aspects of the cities. Catering is the basis of human activities, therefore, quantitative analysis of restaurant consumption in mega cities has positive significance for mastering the factors affecting consumption and optimizing urban commercial layout. We select the dining venue within 1 km along the 2nd Ring Road of Beijing as the research target. First, based on the Dianping and Baidu Map, the sample crawling and calculation are performed, and then we establish a system of factors affecting the popularity of the restaurant, including comprehensive star level, per capita, the shortest distance from the nearest subway station, and the number of municipal-level commercial service centers within 1 km. Through the significance test and Box-Cox transformation, a multiple linear regression model affecting the popularity of restaurant is established, and the model is optimized by stepwise regression method. According to the effective samples of 200 restaurants, the results show that in the central area of mega city, the comprehensive experience of the restaurant and group effect have the greatest impact on the popularity of restaurant. Based on the results, it is suggested that the overall planning of the urban commercial district should fully consider the composition of the catering consumption capacity and the improvement of operational management capabilities.
机译:随着经济的不断增长和人口的迁移,在世界特大城市的数量逐步增加,他们的影响,也涉及到城市的各个方面。饮食是人类活动的基础,因此,在大城市的餐厅消费的定量分析,对掌握的因素影响消费和优化城市商业布局具有积极的意义。我们选择沿北京的二环道1公里为研究对象内餐饮地点。首先,基于对大众点评网和百度地图,样品爬行和计算进行,那么我们建立的影响餐厅的普及,包括全面的明星级因素的系统,人均,距离最近的地铁站的最短距离,和1公里范围内的市级商业服务中心的数量。通过显着性检验和Box-Cox变换,影响餐厅的普及多元线性回归模型建立,模型通过逐步回归方法进行了优化。据200家餐馆有效样本,结果显示,在大型城市的中心区,酒店的餐厅和群体效应的综合经验,对餐厅的普及的影响最大。根据研究结果,建议,城市商业区的总体规划要充分考虑的餐饮消费能力的组成和运营管理能力的提高。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号