Establishing Influence Areas of Attractions in Rural Destinations

PAULINO, Isabel, PRATS, Lluís and WHALLEY, Peter A (2019). Establishing Influence Areas of Attractions in Rural Destinations. Tourism Planning & Development, 1-25.

[img]
Preview
PDF
Whalley_establishing_influence_areas_of _attracton (AM).pdf - Accepted Version
All rights reserved.

Download (194kB) | Preview
Official URL: https://www.tandfonline.com/doi/full/10.1080/21568...
Link to published version:: https://doi.org/10.1080/21568316.2019.1673811

Abstract

This research provides a critical approach to the assessment and evaluation of traditional administratively based tourism destinations. It suggests the abandonment of tourist destinations understood as all-inclusive administratively defined areas, readjusting to a more flexible model tied to tourists’ travel patterns. Given the centrality of attractions, the flows that attractions are able to generate from neighbouring accommodation hubs explains an important share of the way a destination is consumed. Based on three rural case studies, this research investigates within-destination travel patterns, focusing on the relationship between accommodation hubs and attractions as represented by visitor flows. The graphical representation of flows enables, firstly, the identification of influence areas of attractions which traverse administrative boundaries and overlap with those of other attractions, and secondly, the factors affecting the influence areas of attractions. Finally the application of a distance decay curve approach clarifies the relationship between accommodations and the visiting of attractions.

Item Type: Article
Identification Number: https://doi.org/10.1080/21568316.2019.1673811
Page Range: 1-25
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 14 Oct 2019 13:54
Last Modified: 10 Apr 2021 01:18
URI: https://shura.shu.ac.uk/id/eprint/25271

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics