关键词: 菜鸟驿站, 空间格局, 区位特征, 空间关系, 西安

Abstract:

In the internet economic era, with E-commerce being greatly promoting express industry development, express delivery pickup point has become an important place for urban residents to visit, which is worth studying from the perspective of logistics geography. Based on POI data of Cainiao Station and China Post from Xi’an, using mathematical statistics, text word frequency analysis, spatial analysis and other methods, this paper analyzes Cainiao Station’s dependent organization form and service object types, spatial distribution features and the location selection, as well as the spatial organization relationship with the China Post. The findings are as follows: 1) Cainiao Station mainly depends on the retail shops, social service sites and individual stores; Its service objectives are mainly community-based, also including commercial blocks and university towns; 2) There is an ‘inner dense and outer sparse’ feature in the pattern of ‘more in central urban, less in outer rural’, and the distribution direction is along the northeast and southwest. 3） As for the location selection characteristics, on the large scale view, taking Bell Tower as the center point, the number of the pickup station is in a low-high-low pattern with the increase of the distance. On the small scale view, it has two-dimensional normal distribution in the distance [100,300] meter to the entry and exit of the service objects; 4) The distance between Cainiao Station and service object is within the range of 200 m, and the block activity points are suitable to the service objects; 5) The expanding mode of the postal sites and Cainiao Station is from the center of cities into the peripheral counties with the former has a high distribution and wider radiation range, and spatial relation of them presents a geographic-adjacent-based coordinated competition development trend. According to the above research results, several optimization suggestions are proposed. In addition, under the theoretical perspectives of consumer society and space production, mining its detection function of urban growth and population distribution, and examining its connection with the changes in mass consumer behavior and mode, and exploring its social and cultural significance will be important research directions in the future.

Key words: Cainiao Station, spatial pattern, location characteristics, spatial relations, Xi’an City;