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Destination Value Systems: Modeling Visitor Flow Structure and Economic Impact

Stienmetz, Jason and Fesenmaier, Daniel R. (2018) Destination Value Systems: Modeling Visitor Flow Structure and Economic Impact Journal of Travel Research, 58 (8). pp. 1249-1261.

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Abstract

This study proposes that the structure of visitor flows within a destination significantly influences the overall economic value generated by visitors. In particular, destination network metrics (i.e., density, in-degree centralization, out-degree centralization, betweenness centralization, and global clustering coefficient) for 29 Florida counties were derived from 4.3 million geotagged photos found on the photo sharing service Flickr and then correlated with visitor-related spending reported by the Florida Department of Revenue. The results of regression analyses indicate that density, out-degree centralization, and in-degree centralization are negatively correlated with total visitor-related spending within a destination, while betweenness centralization is found to have a positive relationship. Based on these findings, it is concluded that the economic value generated by tourism is constrained by the destination network structure of supply-side and demand-side interactions. Further, it is argued that a “network orchestrator” approach to management can be used to better manage economic impacts within a destination.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > School of Hospitality and Tourism Management
Authors :
NameEmailORCID
Stienmetz, Jasonj.stienmetz@surrey.ac.uk
Fesenmaier, Daniel R.
Date : 21 December 2018
DOI : 10.1177/0047287518815985
Copyright Disclaimer : © The Author(s) 2018 Article reuse guidelines: sagepub.com/journals-permissions
Uncontrolled Keywords : destination value system, volunteered geographic information, network analysis, value network, visitor flows
Depositing User : Charlene King
Date Deposited : 29 Jan 2019 11:19
Last Modified : 01 Nov 2019 14:57
URI: http://epubs.surrey.ac.uk/id/eprint/850302

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