Abstract
Through the online booking platform, 10,543 big data of spatial and temporal distribution of Beijing hotel industry has been obtained in this paper. Then, the methods of GIS and the geographical detector are used to study the spatiotemporal evolution process and the influencing factors of Beijing hotel industry during 2003–2018. The results are as follows: a. During the period of 2003–2018, the hotel industry in Beijing maintained a high growth rate and had three growth peaks in 2008, 2010 and 2014. Meanwhile, major historical events, such as the Olympic Games had a significant influence on the development of the hotel industry. b. Between 2003 and 2018, the hotel industry in Beijing gradually developed from the centripetal agglomeration to aggregation + diffusion, and also from the single center to the multi-center. Besides, various hotels presented two characteristics of city orientation and scenic orientation. c. The natural geographical environment had shaped the overall pattern and characteristics of the spatial distribution of the hotel industry in Beijing, and the socio-economic factors such as commercial activities, public facilities, tourism services and traffic conditions significantly influenced the location selection of the hotel industry. Therefore, the urban center is the ideal area for the spatial layout of the hotel industry. d. Geographical detector research showed that the factors, such as administrative organs, road network density, leisure and recreational facilities, and companies have strong explanatory power for hotel location selection, which is an important reference index for hotels to select the micro location. This paper is a beneficial supplement to the existing research and has certain guiding significance for the sustainable development of Beijing hotel industry.
Highlights
Since the 1760 s, with the rise of the industrial revolution in Europe, cities have gradually replaced rural areas as the most concentrated areas of economic activities, which gives rise to the concentration of various factors of production in urban areas
The standard differential ellipse method is primarily used to study the spatial distribution traits and the evolution process of disparate types of hotels in Beijing, and the standard deviational ellipse tool of GIS software is used for calculation and analysis in this paper
The nearest neighbor index reflects the concentration of geographical things in space, and by comparing the nearest neighbor index of different things, we find it possible to describe and compare the concentration of different or identical things at different stages [33,34]
Summary
Since the 1760 s, with the rise of the industrial revolution in Europe, cities have gradually replaced rural areas as the most concentrated areas of economic activities, which gives rise to the concentration of various factors of production in urban areas. The rise of the city has promoted the prosperity of the business and service industries. The spatiotemporal evolution and influencing factors of hotel industry in the metropolitan area
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