School of Geography and Tourism, Anhui Normal University, Wuhu, Anhui, China.
School of Tourism Management, Sun Yat-Sen University, Zhuhai, Guangdong, China.
PLoS One. 2020 May 19;15(5):e0231438. doi: 10.1371/journal.pone.0231438. eCollection 2020.
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.
本文通过在线预订平台获取了 2003-2018 年北京市酒店业时空分布大数据 10543 条。运用 GIS 方法和地理探测器，研究了北京市酒店业时空演化过程及其影响因素。结果表明：①2003-2018 年，北京市酒店业呈高速增长态势，经历了 2008 年、2010 年和 2014 年三次增长高峰，奥运会等重大历史事件对酒店业发展具有显著影响；②酒店业空间分布由 2003-2010 年的向心集聚逐渐向集聚+扩散转变，由单中心向多中心演变，各酒店呈现出城市指向和景区指向双重特征；③自然地理环境塑造了北京市酒店业空间分布的整体格局和特征，商业活动、公共设施、旅游服务和交通条件等社会经济因素显著影响酒店业的区位选择，城市中心是酒店业空间布局的理想区位；④地理探测器研究表明，行政机关、道路网密度、休闲娱乐设施和企业等因素对酒店选址具有较强解释力，是酒店微观选址的重要参考指标。本文为现有研究提供了有益补充，对北京市酒店业的可持续发展具有一定的指导意义。
