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Hotel Booking Data

In: Applied Data-Centric Social Sciences

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  • Aki-Hiro Sato

    (Kyoto University, Graduate School of Informatics)

Abstract

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.

Suggested Citation

  • Aki-Hiro Sato, 2014. "Hotel Booking Data," Springer Books, in: Applied Data-Centric Social Sciences, edition 127, chapter 0, pages 221-243, Springer.
    • Handle: RePEc:spr:sprchp:978-4-431-54974-1_7
    DOI: 10.1007/978-4-431-54974-1_7
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