• Journal of Korean Institute of Industrial Engineers
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• v.43 no.1
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• pp.62-71
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• 2017

In order to attract foreign tourists, it is important to understand what factors on domestic tour spots are critically considered and how they are evaluated after visit. However, most of the researches on tour business have collected information from tourists through survey on a small number of tourists, which leads to inaccurate and biased conclusion. In this paper, we suggest a data-driven methodology to figure out tourists' satisfaction factors and estimate sentiment scores on them. To do so, we collected review comments data from popular web site. Latent dirichlet allocation is employed to extract key factors and elastic net is used to estimate sentiment scores. Then, an aggregated evaluation score is generated by combining the factors and the sentiment scores per topics. Our proposed method can be used to recommend travel schedules with themes and discover new spots.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.559-560
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• 2016

Modern was also the era that can go quickly and easily, as well as overseas travel domestic travel. Whereby the two grew more and more people enjoying the trip. In the first place, but if you been easy to get lost overseas will receive help if not the ability to speak local languages and also to develop a tool that is easy to find your way in the first place because been difficult. Previously, became the drone that was used for military purposes now enjoy easy and convenient operation and safety of the public. Drones are using this time because of the wide application field width should also try to develop a drone navigation to find your way. If you set the destination using Google Maps it aims to make the user want to go to fly toward the destination while keeping the user with a certain distance.

• Journal of Korea Planning Association
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• v.54 no.1
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• pp.52-66
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• 2019

Travel is a factor that stimulates the vitality of the urban and is widely used as an indicator of sustainable growth of the region. In Korea, however, no studies has been made to predict changes in traffic and calculate the accessibility of the region by comprehensively considering the socio-economic conditions of the travelers. The purpose of this study is to classify commuters according to the household income and to analyse the traffic characteristics of each class. The analysis results are aggregated into two. First, the analysis of study found different transport characteristics for different income classes. This is the result that underpins the argument of a previous study that suggested that a discriminatory approach is necessary for each income in determining the accessibility of the region. Second, this study calculated utility values differently for each income class based on the transit time and cost required between each zone. Through these measures, transport characteristics were analyzed by income class using indicators that considered transportation infrastructure, and socio-economic conditions of the travelers. This study is meaningful in that it provided the basis for calculating the accessibility that could take into account the activities of the housing consumers in establishing domestic housing policies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.4
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• pp.1162-1181
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• 2023

Tourism flow is not only the manifestation of tourists' special displacement change, but also an important driving mode of regional connection. It has been considered as one of significantly topics in many applications. The existing research on tourism flow prediction based on tourist number or statistical model is not in-depth enough or ignores the nonlinearity and complexity of tourism flow. In this paper, taking Nanjing as an example, we propose a prediction method of urban tourism flow based on deep learning methods using travel diaries of domestic tourists. Our proposed method can extract the spatio-temporal dependence relationship of tourism flow and further forecast the tourism flow to attractions for every day of the year or for every time period of the day. Experimental results show that our proposed method is slightly better than other benchmark models in terms of prediction accuracy, especially in predicting seasonal trends. The proposed method has practical significance in preventing tourists unnecessary crowding and saving a lot of queuing time.

• Journal of Korean Society of Forest Science
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• v.97 no.3
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• pp.316-325
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• 2008

This study was done to compare socio-economic characteristics and travel pattern, preferences for ecotourism facilities and programs of domestic and international tourists who visited to Jeju Island. On-site survey was carried out during July, 2006 and a total of five hundred and fifty five (555) individuals' data were analyzed. Survey results showed that there were significant differences between socioeconomic characteristics and travel patterns as well as preferences of both parties. Even among international tourists from countries with different languages showed different characteristics. These different characteristics among tourist groups imply that tour route design and program development should be accordingly considered to provide satisfactory experiences.

• Journal of the Korean association of regional geographers
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• v.8 no.1
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• pp.83-97
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• 2002

In this study we shall compare the differences among Korean tourists' behavioral patterns according to tourists' residences by using statistical techniques on questionnaires for 1,372 tourists around Korea. In conclusion, we found varying degrees of influences among touristic behaviors in relation to residences, We documented 11 out of 14 categories of touristic behaviors in urban/rural areas around Korea. And there were 4 out of 14 categories of those found in provincial areas. Characteristics of urban/rural areas had a significant influence on touristic behaviors compared to provincial areas. Therefore, tour authorities provide for a balanced policy of travel around Korea. As mentioned above, these touristic behaviors had many differences according to urban/rural areas and provinces. We are concerned that these differences are likely to cause psychological disturbances among social classes. I hope that these results will be reflected in the development policies of tourist goods and tour sites.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.47-56
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• 2019

In line with the increasing demand for domestic travel, Reality Travel Programs(hereinafter referred to as RTP) in which actors don't have the script in program are increasing. We explored the impact of RTP "Viewing Satisfaction" and "Revisit Intentions". Firstly, factors of "entertainment", "sympathy", "aesthetic", "information", "interaction" and "Indirect Experience" were confirmed. Secondly, common factors that have a positive impact on Dependent variables in RPT were "esthetics" and "IE". By empathizing with the beauty of the environment and actor's emotions, the RTP had a positive influence to "VS" and wanting to visit the area. Provided a theoretical basis by verifying that viewing motives for RTP have a positive impact on VS and RI.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.169-180
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• 2020

The purpose of this study was to find the characteristics of the foreign and domestic travels and to seek out the significance of the study, by grouping the geotweets users who moved abroad, according to the average and the standard deviation of moving distances. Geotweets which caused foreign and domestic travels occurred divided, after building a data mart and the moving distances of users were measured by using the Haversine formula. It has moved more often among groups of foreign travelers in countries that use the same language and have similar lifestyles. There has been a lot of movement in developed countries with well-established infrastructure in a group of domestic travelers. This study tried to draw common features, by calculating the travel distances by each user and grouped users according to the characteristics of user's moving distances. There are significant differences in national economic power, age, jobs, etc. among users from a total of 21 countries analyzed by this study, so a more precise analysis would be able to be conducted, only if the whole conditions are considered. A future study should additionally consider real factors.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.421-428
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• 2019

This study includes services that require six professional guides - health care, exhibition performance, restaurant, shopping, business and daily life - as well as a trip-based tour, along with solving existing problems that may occur on domestic and overseas trips, and proposes services that connect users with proven professional guides. As a result of previous research, the most needed services among overseas travel were air tickets, accommodation, transportation, and guides, but as Korea enters an aging society, professional guide services are expected to increase daily demand. Based on this, the service technology, user scenarios and brand development were presented. This Service Proposal provides users with a personalized guide to knowledge or experience that they have not previously known, providing them with a wealth of experience. In addition, guides can help develop new fields of expertise and help improve professional guides' capabilities. Finally, the platform service is meaningful in that it enables the creation of jobs by enabling everyone to engage in economic activities, as it allows users to provide services through their own capabilities while at the same time being convenient for them.

• Culinary science and hospitality research
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• v.23 no.6
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• pp.27-35
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• 2017

The purpose of this study was to examine the causal relationship among restaurant selection attributes and customer satisfaction and recommendation tastes for young people in their twenties who use tickets for Rail-ro. Data collection was conducted to utilize questionnaire survey with online and offline distribution. The collected data were analyzed using a statistical program SPSS 21.0 with frequency analysis, reliability analysis, factor analysis, and regression analysis. The results of the study showed that Internet search is the most common source of information about restaurants during the trip, and restaurant choice attributes have an important impact on customer satisfaction, food quality, employee service and reputation, but hygiene did not have a big effect on customer satisfaction. In addition, customer satisfaction has a significant effect on recommendation intention. Concluding the results from this study, it investigated the significant attributes for customers selection of restaurants and provide meaningful advice for market managers to make useful marketing strategies to attract more clients and augment economic benefits.