• Proceedings of the Korea Contents Association Conference
• /
• 2004.05a
• /
• pp.94-108
• /
• 2004

The objective of this research is to define and explain the factors of destination chosen by travel consumers in Agricultural tourism. Their party size we, in general, smaller, and they tend to spend more time planning their trips and to book them further in advance. They also use different information sources when making travel decision. There is also a need to examine in greater depth the proposition that Agricutural Tourism are more compatiable with the principles of ecollogically sustainable tourism than Non Agricultural tourism formats.

• Proceeding of EDISON Challenge
• /
• 2015.03a
• /
• pp.479-483
• /
• 2015

In case of the big city, choosing the adequate root of which we can reach the destination can affect the driver's condition and driving time. so it is quite important to find the optimal routes for arriving the destination as considering the factors, such as driving conditions or travel time and so on. In this paper, we develop route choice model with considering driving conditions and travel time, and it can search the optimal path which make drivers reduce their fatigues using genetic algorithm.

• Journal of the Korea Safety Management & Science
• /
• v.12 no.2
• /
• pp.193-197
• /
• 2010

오늘날 인터넷의 출현과 확산으로 인하여 정보의 홍수를 이루게 되었고, 고객들은 자신이 원하는 제품이나 서비스를 선택하기 위해서 정보를 탐색하는 작업이 더욱 어려워지게 되었다. 이러한 고객들에게 좀 더 편리하게 자신이 원하는 제품이나 서비스를 선택하도록 도와주는 것이 추천 시스템으로써, 고객 관계 관리의 중요한 부분으로 자리잡게 되었다. 본 연구에서는, 인터넷상의 여행사 사이트 등에서 고객이 여행지를 선택할 때 고객이 관심을 가질만한 여행지를 추천하여 줌으로써 고객이 최적의 여행지를 선택할 수 있는 새로운 추천 시스템을 개발하였다. 기존의 여러 추천 시스템에서 적용되던 협업 필터링 기법의 문제점으로 나타나고 있는 희소성과 확장성을 해결하기 위하여 본 연구에서는 퍼지로직과 인공신경망을 결합한 하이브리드 접근 방법인 뉴로 퍼지 기반의 여행지 추천시스템을 개발하였다. 제안한 추천시스템을 적용하여 실험한 결과 제안 시스템이 기본의 방법들보다 우수함을 입증하였다.

• Journal of Korean Society of Transportation
• /
• v.30 no.3
• /
• pp.107-118
• /
• 2012

The purpose of the study is to analyze the travel characteristics of freight trucks in metropolitan areas, focusing on activity generation, destination choice, and trip chaining behaviors. The results showed that the number of service companies at departure areas has a primary influence on the activity generation pattern and destination choice behavior of trucks in metropolitan areas. The number of trips within a trip chain is largest, in case where the prevailing industry in destination areas is wholesale or retail and the shipment item is food or beverage. These results imply that for the reasonable estimation of truck travel demand both the trip chaining behaviors and the industrial compositions in departure and destination areas should be separately considered for each type of commodity.

• The Journal of the Korea Contents Association
• /
• v.19 no.2
• /
• pp.317-327
• /
• 2019

A tourist destination where nature and people coexist is needed for today's tourists who crave for various new experiences and attractions. In this respect, Slow city has its attractiveness as a good tourist destination and its potentials are being verified. The purpose of this study is to identify selection attributes of slow city which influence the perception of tourism professionals and finally to figure out its growth potential as a tourism destination. This study approaches and considers tourism industry worker's perception about slow city which previous studies have not been discussed. We examined that travel and tourism employees working on the tourism industry frontline, planning travel goods, providing information on tourist destinations, are less aware than the general public about slow city as a tourism destination.

• Asia pacific journal of information systems
• /
• v.29 no.3
• /
• pp.448-467
• /
• 2019

In a new age of smart tourism, free independent travelers (FITs) choose their travel routes in a more diversified and less predictable way with the aid of smart services. This paper focuses on the movements of Chinese outbound FITs in the U.S. in the year of 2018. 110 places to visit (destinations) extracted from 122 travel routes recommendations on Qyer.com, a major online travel community in China, are analyzed with social network analysis (SNA). Based on the results of SNA, employing degree centrality, eigenvector centrality, betweenness centrality, network visualization, and cluster diagram methods, some preferred cities and natural attractions outside city centers (i.e., New York City (NYC), Los Angeles, San Francisco, Washington D.C., and Niagara Falls) are identified. Moreover, it is found that NYC in the East and Los Angeles in the West play a major role in the movements of Chinese FITs. This study contributes to the body of knowledge on tourist destination movements and provides valuable implications for smart service development in the tourism and hospitality industry.

• Smart Media Journal
• /
• v.12 no.8
• /
• pp.37-44
• /
• 2023

This study investigated the influence of travel-related content on the popular short-form platform TikTok in China on users' intentions to visit travel destinations and purchase travel products. Conducted in July 2023, amidst the rising consumption of short-form content through mobile devices due to the COVID-19 pandemic, the research surveyed 337 participants using an online survey platform in China. The findings revealed that the entertainment factor within TikTok's content did not significantly impact the perception of travel destinations, whereas informativeness and trustworthiness had positive effects. Moreover, expertise and interactivity also had positive effects. The study demonstrated that the image of travel destinations formed through short-form content on TikTok positively and significantly influenced visitors' intentions. These results provide valuable insights for crafting effective strategies in the tourism industry and marketing efforts.

• Journal of Smart Tourism
• /
• v.2 no.2
• /
• pp.5-14
• /
• 2022

In recent years, UNWTO and academics have called for the development of responsible, sustainable, and universally accessible tourism to promote equal human rights and social inclusion. Prior studies have also revealed the potential and value of smart technologies in reducing, if not removing, barriers to people with access requirements during travel and in their everyday lives. However, a guiding framework of how smart technologies assist in building an accessible destination is still absent, thereby hindering the progress of building accessible tourism. This paper aims to fill this knowledge gap. A conceptual model of smart accessible destination (SAD) was proposed drawing from the intersection of accessible tourism and smart tourism. With the guidance of this conceptual model, tourism destinations and stakeholders can recognize and utilize the synergies of accessible and smart tourism to enhance the social inclusion, competitiveness, and sustainability of a destination.

• International Journal of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.21-30
• /
• 2023

The aim of this study is to investigate how travelers' destination visit intentions are influenced by avatar self-congruence in the metaverse platform. We extended the impression management theory by considering both perceived enjoyment and social engagement, and illustrated the interaction effect based on users' digital age. To achieve this, we conducted an online survey with 302 users. The survey results revealed that avatar self-congruence significantly influenced users in terms of perceived enjoyment and social engagement, thereby affecting their destination visit intentions. This study also revealed a significant interaction effect between digital age type and avatar self-congruence on users' perceived enjoyment. The results of this study are expected to provide not only a theoretical reference for metaverse research and travel research but also managerial implications for destination management and metaverse applications.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.4 no.3 s.8
• /
• pp.9-22
• /
• 2005

Route travel cost in transportation networks consists of actual route travel cost and route perception cost. Since the route perception cost is differently perceived according to each origin and each destination, route search has limitation to reflect the note perception cost due to route enumeration problem. Thus, currently employed advanced traveller information systems (ATIS) have considered only actual route travel cost for providing route information. This study proposes an optimal and a K-route searching algorithm which are able to reflect the route perception cost but encompass route enumeration problem. For this purpose, this research defines the minimum nit of route as a link by adopting the link label technique in route searching, therefore the comparison of two adjacent links which can be finally expanded the comparison of two routes. In order to reflect the characteristics of route perception in real situation, an optimal shortest cost path algorithm that both the forward search from the origin and the backward search from the destination can be simultaneously processed is proposed. The proposed algorithm is applied for finding K number of shortest routes with an entire-path-deletion-type of K shortest route algorithm.