携程旅行网旅游“新零售”空间格局及形成机制——以上海市线下门店为例

doi:10.13959/j.issn.1003-2398.2022.05.021

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Abstract Based on Ctrip's offline stores in Shanghai and 37272 relevant point of interest (POI) data captured from Gaode map developer platform, this study comprehensively used the spatial analysis methods such as Standard Deviation Ellipse, Average Nearest Neighbor, Thiessen Polygon, Kernel Density Estimation and GeoDetector to explore the spatial pattern, location choice and formation mechanism of new tourism retail in Ctrip. The results showed that: 1) At the initial stage of development, new tourism retail in Ctrip still prefers the central location, but the demand for the central location of the city is not as strong as that of the traditional retail industry, and the trend of subsidence is obvious to the edge of the city center and the suburbs; 2) The offline stores of Ctrip show an agglomerative spatial distribution type and form a "multi center - outward expansion" distribution pattern. But they are clustered on a larger spatial scale, with a significant centrifugal trend; 3) The location choice of new tourism retail depends on the offline life service scenes of the target market dominated by office buildings. Compared with the traditional retail industry, the preference for highdensity areas of office buildings exceeds that of high-density areas of shopping malls. Traffic conditions, spatial distribution of traditional travel agencies, and the level of rent take the second place, CBD approach degree and business district grade have less influence; 4) The spatial pattern and location characteristics of Ctrip's offline stores are the result of the joint action of enterprise business segment planning, geographical entity space competition and regional industrial supporting level.

Key words： Ctrip new tourism retail spatial pattern formation mechanism

Received: 06 September 2021

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	WANG Juan
	DING Xuan-wen

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WANG Juan,DING Xuan-wen. SPATIAL PATTERN AND FORMING MECHANISM OF NEW TOURISM RETAIL IN CTRIP: A CASE STUDY OF OFFLINE STORES IN SHANGHAI[J]. HUMAN GEOGRAPHY, 2022, 37(5): 183-192.

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http://rwdl.xisu.edu.cn/EN/10.13959/j.issn.1003-2398.2022.05.021 OR http://rwdl.xisu.edu.cn/EN/Y2022/V37/I5/183

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