Self-drive network development for socio-economic tourism: a mixed-method approach
This article describes a study that uses mixed-methods research to evaluate and develop the self-drive tourism network. For the data envelopment analysis (DEA) of the cross-efficiency model, routing evaluation indicators of road infrastructure and facilities, as well as sideway facilities, were sele...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Cogent Social Sciences |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/23311886.2025.2482116 |
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| Summary: | This article describes a study that uses mixed-methods research to evaluate and develop the self-drive tourism network. For the data envelopment analysis (DEA) of the cross-efficiency model, routing evaluation indicators of road infrastructure and facilities, as well as sideway facilities, were selected as factors of traveling value. The survey technique with such a journey checklist and the stakeholder focus group approach from various related fields help to obtain valuable data. The evaluation results show that the optimization problem-solving tool of DEA is suitable for rating the valuableness of the route. Moreover, findings were shared by a wide range of stakeholders resulting in the completion of self-drive tourism networks represented by the different traveling plans to optimize socio-economic tourism. It is also possible to boost the tourism industry under the constraints of travel result from COVID-19 pandemic. |
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| ISSN: | 2331-1886 |