A unified DEA approach for evaluating congestion: a case of hotels in Taipei
by Zeng Jia; Zhixiang Zhou; Jie Wu; Zhi Chen
International Journal of Information and Decision Sciences (IJIDS), Vol. 5, No. 1, 2013

Abstract: Traditional hotel efficiency studies using data envelopment analysis (DEA) admit that the different types of return to scale (RTS) exist, but no one takes the congestion phenomena into consideration. This research constructs a unified congestion approach based on DEA to evaluate the performance and input congestion of international tourist hotels in Taipei. The model presented cannot only judge the input congestion through the result of degree of scale economic but also can calculate the amount of input congestion. In this paper, we apply the presented models for measuring the congestion of 21 hotels in Taipei during the year 2008 to 2009, as well as the relationship among relative efficiency, return to scale (RTS) and congestion. The empirical result indicates that the congestion is widely existed in the entire hotel industry in Taipei.

Online publication date: Fri, 28-Feb-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Information and Decision Sciences (IJIDS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com