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Stakeholder-Informed Destination Planning Framework for Regional Tourism Routing and Development

IMPACT SIGNAL89/100
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Information from the abstract

Tourism is a key driver of regional development, particularly in emerging destinations around the globe. Despite its critical role, aligning tourism services with tourists’ needs requires effective planning and management that reflect key stakeholder perceptions and resource allocation to enhance the overall competitiveness of a destination. This study aims to integrate the perspectives of tourists and tourism service providers using a logistics performance framework to support data-driven tourism management. Using the Best–Worst Method (BWM), stakeholder-based evaluations are conducted to prioritize key decision criteria, including economic efficiency, reliability, responsiveness, and safety, which are essential for supporting operational efficiency and tourism planning. Next, a Multi-Objective Traveling Salesman Problem (MOTSP) model is applied to evaluate travel routing and ensure efficient resource allocation. Data collection and analysis are conducted for popular tourist attractions, using a case study of Ubon Ratchathani, Thailand. The findings provide practical insights for regional planners and tourism managers seeking to enhance infrastructure planning through stakeholder-informed and logistics-driven decision-making for regional tourism development.

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Why this record is monitored

This record has an Impact Signal of 89/100 based on recency, source, collaboration, and bibliographic signals. It prioritizes monitoring and is not a judgment of research quality.

Related topics: Vehicle Routing Optimization Methods · Facility Location and Emergency Management · Urban and Freight Transport Logistics

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Thai researcher and institutional participation

Kasin Ransikarbum · Woramol C. Watanabe · Patchanee Patitad · Ubon Ratchathani University · Naresuan University

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Data limitations

This page is a bibliographic record based on abstract-level information, not a full analysis or quality assessment. Verify the DOI and original article before citation.