Hotel Booking Data

  • Aki-Hiro Sato


This study considers a method to determine and classify districts based on the stay capacity of hotels in order to understand regional dependence of social wealth. We analyse the geographical positions and the number of rooms about 2,881 Japanese hotels which have 582,898 rooms in total empirically. Firstly, we conduct a clustering analysis of regional statistics on the stay capacities by using the centroid method. Secondly, we divide areas by a centroid method from a maximum entropy point of view hierarchically. It may be concluded that the rank size distribution for the number of rooms in the cluster is fitted with a power-law function with the exponent depending on the number of clusters included in the level. We further investigates an association between the availability of hotels and socioeconomic dynamics before and after the Great East Japan Earthquake on 11 March, 2011.


Information Entropy Regional Dependence Pull Factor Maximum Entropy Principle Centroid Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The author is thankful to Mr. Kotaro Sasaki and Mr. Daichi Tanaka of RECRUIT Co., Ltd (Jalan) for stimulating discussion.


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Copyright information

© Springer Japan 2014

Authors and Affiliations

  1. 1.Graduate School of InformaticsKyoto UniversityKyotoJapan

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