A Study On The Location Differences Between Online And Offline Restaurants— A Case Study of Shenzhen City

Abstract

With the popularization of the O2O e-commerce China appeared many O2O Internet companies such as "Mei Tuan" and "E Le Me" Which make people access to information strengthens and has significant influenced on the offline restaurants in the city At the same time instant delivery of the logistics industry grows rapidly and it makes walking distance is not the main factor to restrict customers to make eating choice Selecting food online has become the normalcy for Chinese customers Studying the spatial distribution of urban catering industry under new technology is helpful to understand the development status of catering industry and is of great significance to guide the development of the industry Shenzhen city is taken as an example in this study，and the big data comes from the open data of "Mei Tuan" and "An Ju Ke" APP Compared with the traditional visiting-type spatial statistical method the big data of the Internet is characterized by large data volume abundant data categories and accurate positioning In this study the spatial distribution rules of urban catering industry are taken as the starting point Under the guidance of Urban Central Location Theory and Land Rent Theory Kernel Density Analysis Spatial Autocorrelation and Multivariate Analysis are adopted to compare the distribution characteristics of offline and online restaurants from the overall and part perspectives Then the relationship between the two types of restaurants and local population density traffic factors and average housing price was discussed The results are as follows： (1) The spatial distribution: look from the density both of entities and online restaurants being assemble trend Which appears "Less in the east and more in the west"，“The south is dense and the north is sparse”，“The coast is dense and the interior is sparse” spatial pattern; From the point of view of the average consumption level and the level of Internet word-of-mouth the restaurants of each consumption level and word-of-mouth level all present in Futian district and Luohu district forming the core and diverging to the periphery In terms of correlation offline restaurants are more dependent on low- medium consumption while online restaurants are more dependent on medium consumption and more concerned about word-of-mouth (2) The population density has an impact on the pattern of two types of restaurants especially on medium consumption restaurants Most of densely populated street district are also packed with offline and online restaurants However under different population density levels the aggregation degree of physical and online restaurants is different The road density factor has a larger influence on the medium and low-grade restaurants Under the different road density grades the aggregation degree of offline and online restaurants is different The distance from restaurants to buses and subway stations has an impact on the distribution of two types of restaurants The closer the distance the more concentrated the restaurants are The average house prices factors on the pattern of establishments were less affected but prices for high-end consumption level and the impact of high Internet word of mouth is significant shows that the high-quality service offline restaurants more tend to house prices higher areas However the correlation between house price and consumption level and word of mouth of online is relatively low indicating that high-end consumption and restaurant service with high word of mouth are more inclined to brick-and-mortar stores (3) Under multiple linear regression analysis population density has a greater positive impact on the density of offline restaurants while road density has a greater positive impact on the density of online restaurants Pattern of online and offline restaurants are similar where offline restaurants gather online restaurants will also gather The reason may be that even although the ability of people to obtain restaurants information has been constantly strengthened by O2O e-commerce but the overall spatial structure、 planning method and people's lifestyle have not changed in Shenzhen city so online restaurants are still an important supplement to the distribution of offline restaurants under the current urban structure

Date of Award	2021
Original language	English
Supervisor	Shiann-Far Kung (Supervisor)