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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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Abstract
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 |
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| 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 Engineering |
| 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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