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      KCI등재

      관광 약자의 보행 접근성을 고려한 관광지 내 최적의 관광코스 추천 알고리즘 개발 = A development of an algorithm that recommends the optimal tourist routes in tour destinations to consider walking accessibility of vulnerable tourists

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      https://www.riss.kr/link?id=A108848622

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      다국어 초록 (Multilingual Abstract)

      The number of people with disabilities and elderly is increasing rapidly around the world, including in Korea. Tourism is an important leisure activity in modern societies, and the right to tourism for vulnerable tourists is a fundamental human right....

      The number of people with disabilities and elderly is increasing rapidly around the world, including in Korea. Tourism is an important leisure activity in modern societies, and the right to tourism for vulnerable tourists is a fundamental human right. In addition, tourism for vulnerable tourists is a new business opportunity as they constitute a high proportion of the total population. This study aims to develop a mathematical algorithm that recommends and provides an optimal tourist course that maximizes satisfaction by considering the walking accessibility between tourist points within a tourist destination. Tourist satisfaction decreases as the walking time and the passage difficulty increase. To reflect this, it considers the passability and passage difficulty according to the type of road(pavement, flagstone, gravel) and slope(uphill, downhill, flat) between tourist points. The travel time between tourist points is calculated using the passage difficulty and distance. Tourists are classified by type(non-disabled tourists who do not need a wheelchair, wheelchair-using tourists with a companion, and wheelchair-using tourists without a companion). The numerical experiments show that the type of walking path has the greatest impact on the tourist routes and that the slope also has an impact on travel time and satisfaction. This study contributes to maximizing tourist satisfaction by considering the walking accessibility of vulnerable tourists and provides insights for developing a web/app that recommends tourist courses suitable for vulnerable tourists.

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