1,644
Views
31
CrossRef citations to date
0
Altmetric
Articles

Destination-Image Recovery Process and Visit Intentions: Lessons Learned from Hurricane Katrina

, &
Pages 183-203 | Published online: 10 Jan 2013
 

Abstract

Hurricane Katrina is considered the most costly and deadliest hurricane in the history of the United States. This study examined the differences in tourists' destination image of New Orleans before and after Katrina. This study also aimed at identifying significant destination attributes that affect travelers' intention to visit after a disaster. Paired sample t tests found that travelers' perceived image of New Orleans post-Katrina was significantly more negative than before Katrina. Independent t tests showed that the image of New Orleans after Hurricane Katrina was significantly more favorable among repeat visitors. Multiple regression analysis revealed destination image attributes, (e.g., exciting nightlife, restaurant variety, friendly locals, good value, and safe to visit), gender, and past experience were significant predictors of visit intentions. Findings may assist practitioners in accelerating the destination-image recovery processes following a disaster, as well as, stimulate the inclusion of tourism elements within crisis management plans. Destinations that have an accurate understanding of their image before a disaster will be more equipped to concentrate on the destination's core strengths.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 242.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.