Spatial Distribution Pattern of High-End Hotels Based on Multi-Source Data — A Case Study of Central Beijing City

Abstract

It is of great practical significance to study the spatial distribution pattern of customer attractiveness of high-end hotels in Beijing. This paper firstly employed Analytic Hierarchy Process (AHP) to construct the evaluation system of customer attractiveness in central Beijing, then the kernel density analysis tool (KDE) was adopted to make spatial agglomeration analysis of the customer attractiveness of high-end hotels in central Beijing. The following findings were obtained: a) the overall scores of high-end hotels in central Beijing are at a high level, but an obvious score polarization between the hotels and large difference between the highest and lowest scores were observed. The three first-level indicators of traffic location, service facilities and customer satisfaction make great contributions to the customer attractiveness ranking of high-end hotels, but the impact of hotel price and reviews popularity is not obvious. b) The attractiveness of high-end hotels in central Beijing shows a spatial distribution pattern of “one core with many hearts and decreasing circle layers”. In terms of the number of high-end hotels in different administrative districts, Dongcheng District has the largest number of high-end hotels, followed by Haidian District, Xicheng District, Fengtai District and Shijingshan District. Four levels of hotel with attractiveness from high to low spread from the city center to the edge. The research findings are expected to provide useful suggestions for hotel managers and government tourism agencies.