Hotel Booking Data

Aki-Hiro Sato ()
Additional contact information
Aki-Hiro Sato: Kyoto University, Graduate School of Informatics

Chapter Chapter 7 in Applied Data-Centric Social Sciences, 2014, pp 221-243 from Springer

Abstract: 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.

Keywords: Information Entropy; Regional Dependence; Pull Factor; Maximum Entropy Principle; Centroid Method (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-4-431-54974-1_7

Ordering information: This item can be ordered from
http://www.springer.com/9784431549741

DOI: 10.1007/978-4-431-54974-1_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().