基于点评数据的武汉市餐饮发展水平空间差异

基于网络点评数据，采用核密度分析、空间自相关分析等空间统计方法，分析武汉市主城区餐饮行业聚集特征以及餐饮发展水平的空间差异及其影响因素。主要结论如下：① 武汉市餐饮类型丰富，同时也保持较明显的地方特色，不同类型餐饮人均消费差异明显；② 顾客对武汉餐饮口味、环境和服务3种评分总体得分较好，对这3个方面的服务满意程度排序为口味>服务>环境，3种评分与人均消费都存在显著的正相关；③ 三环内餐厅高密度分布区主要沿轨道交通线分布，并与各商圈高度相关，餐饮满意度评价的3种评分都存在显著的聚集；④ 3种评分热点分布区大多保持一致，且3种评分的热点数较为均衡，主要分布在传统商业与住宅混合区以及重要商业设施及其周边；⑤ 3种评分冷点区的分布有一致也有不一致，冷点数有明显差异，主要分布在火车站、医院和学校周边以及老旧和偏远小区附近。

Spatial Difference of Catering Industry Development Level Based on Online Public Data in Wuhan

Based on online public data, spatial clustering characteristic, spatial difference and influence factors of catering industry development level are analyzed by some spatial statistic methods such as kernel density estimation and spatial autocorrelation index. The main conclusions are as follows. At first, there are plenty of types of restaurants in Wuhan, the catering maintain obvious local flavor, and there are apparent differences among different types of restaurant. Secondly, customers in Wuhan have given good scores to all three index taste, environment and service, in terms of sorting, the taste score is larger than service score and service score is larger than environment score. Furthermore, all of the three scores have significant positive correlation with consumption price per capita. Thirdly, the high density area of catering service point distribution is along with rail transit line in Wuhan, and has highly related with business circles. At the same time, the three scores of catering service satisfaction have significant spatial aggregation. Fourthly, the hotspot distribution areas of the three scores, which mainly distribute in the traditional commercial and residential mixed areas and surrounding areas of important commercial facilities, are consistent overall, and the number of three types of hotspots is roughly equal. At last, some of the cold spot distribution areas of the three scores are consistent and some of them are not consistent. These cold spots mainly distribute around railway stations, hospitals and schools and old and remote community, and the number of cold spots is different obviously. The research results of this article could give some advices to urban planning, site selection of catering service point and smart travel for consumers.