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Image-Based Research Methods for Mapping Tourist Behaviour: Smart Photos

Zhan, X, Guo, FB and Roberts, E (2023) Image-Based Research Methods for Mapping Tourist Behaviour: Smart Photos. Tourism Recreation Research. ISSN 0250-8281

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Open Access URL: https://doi.org/10.1080/02508281.2023.2196487 (Published version)


Conventional research methods for understanding tourists’ behaviours need to be more practical and accurate when tracking tourists’ movements within a destination. In recent years, technological development has offered advanced technical approaches for data collection and analysis. Taking account of the tourist experience in post-industrial landscapes, this study introduces an image-based methodology to explore tourists’ movements at industrial heritage sites. Preliminary results are presented, using Liverpool’s Royal Albert Dock as an example of detecting tourists’ movement through use of a drone. The findings demonstrate that the selected method- Smart Photos- effectively maps tourists' behaviour and movements, and that this provides researchers with a simple, fast, and accurate data collection and analysis tool. method.

Item Type: Article
Uncontrolled Keywords: Albert Dock; Background Subtraction; Drone; post-industrial sites; Research Methods; Tourist movement; 1506 Tourism
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
G Geography. Anthropology. Recreation > G Geography (General) > G149 Travel. Voyages and travels (General) > G154.9 Travel and state. Tourism
Divisions: Art & Design
Publisher: Taylor and Francis Group
SWORD Depositor: A Symplectic
Date Deposited: 22 Jun 2023 15:13
Last Modified: 22 Jun 2023 15:15
DOI or ID number: 10.1080/02508281.2023.2196487
URI: https://researchonline.ljmu.ac.uk/id/eprint/20017
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