• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.5
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• pp.605-612
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• 2019

Traditionally, travel demand forecasts have been conducted based on the data collected by a survey of individual travel behavior, and their limitations such as the accuracy of travel demand forecasts have been also raised. In recent, advancements in information and communication technologies are enabling new datasets in travel demand forecasting research. Such datasets include data from global positioning system (GPS) devices, data from mobile phone signalling, and data from call detail record (CDR), and they are used for reducing the errors in travel demand forecasts. Based on these background, the objective of this study is to assess the feasibility of CDR as a base data for travel demand forecasts. To perform this objective, CDR data collected for Daegu Metropolitan area for four days in April including weekdays and weekend days, 2017, were used. Based on these data, we analyzed the correlation between CDR and travel demand by travel survey data. The result showed that there exists the correlation and the correlation tends to be higher in discretionary trips such as non-home based business, non-home based shopping, and non-home based other trips.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.4795-4802
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• 2010

In order to solve the traffic problem in jeju, we must reduce demand for car travel. In addition, demand for passenger travel by public transport policy is needed for conversion. And to improve the quality of public transport services are desperately needed. The purpose of this study, personal characteristics of the trip traveler and the relationship between transportation choice, and personal effectiveness as a factor in travel costs and travel time on the impact of transportation choices will investigate. Restructure its public transportation routes, when to switch to buses to car traffic on the data as a basis for the factors that may be. In addition to improving the quality of public transport services is expected to be able to contribute. To study the performance of the May 2010 survey was conducted. And multinominal logit model were conducted. According to the analysis, People who own homes and families with more than 5 people are likely to use cars. If a prolonged travel time is likely to use buses. However, increasing the cost of travel increases the likelihood that the car is available.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.445-450
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• 2019

lock in effect This study aims to examine the viewing pattern of travel vlog on video-sharing platform YouTube. Preliminary survey was conducted with in-depth interviews on the usability and sensibility aspects of creating pleasurable interfaces model. As a result, first, viewers obtains general information on travel using travel vlog. Second, there were difficulties from the informational quantity. Third, the contents marketing using travel vlog could have limitation when it comes to the consistency of product's exposure which common mass media advertisement format have. Improvements driven from this study may provide insight in contents marketing strategy to travel-related companies and provide practical help to creators in contents production.

• Convergence Security Journal
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• v.21 no.3
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• pp.67-73
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• 2021

According to a survey by the Korea Tourism Organization in 2018 and 2019, traveling to places recorded in TV programs or influential videos has become an important travel trend and several studies show that watching a travel program improves the intention to visit the places featured on the program. This study designed a travel program-linked data service that provides additional information on the places and events to the viewers of the travel program. Specifically, the additional information of the travel program was defined in a formal manner by dividing it into places and events, and a method of exposure of the additional information conformed to the contents of the program was designed. We also devised an international standard DVB-based data transmission method that provides the additional information to data services appropriately in time for program broadcasting. This study is significant in that it tested new applications of data services for travel programs.

• Journal of the Korea Society of Computer and Information
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• v.27 no.5
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• pp.117-125
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• 2022

Recently, as users' interest for travel increases, research on a travel route recommendation service that replaces the cumbersome task of planning a travel itinerary with automatic scheduling has been actively conducted. The most important and common goal of the itinerary recommendations is to provide the shortest route including popular tour spots near the travel destination. A number of existing studies focused on providing personalized travel schedules, where there was a problem that a survey was required when there were no travel route histories or SNS reviews of users. In addition, implementation issues that need to be considered when calculating the shortest path were not clearly pointed out. Regarding this, this paper presents a quantified method to find out popular tourist destinations using social big data, and discusses problems that may occur when applying the shortest path algorithm and a heuristic algorithm to solve it. To verify the proposed method, 63,000 places information was collected from the Gyeongnam province and big data analysis was performed for the places, and it was confirmed through experiments that the proposed heuristic scheduling algorithm can provide a timely response over the real data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.2D
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• pp.171-179
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• 2008

In this paper, "Gyeonggi-Do household weekend travel survey" is used in order to analyze activity participation and travel behavior for the people who go to work on Saturday(workers) and those who do not go to work(non-workers). To find out causal relationship between activity participation and travel behavior, Structural Equation Models are developed. Examination of the causal relationship between activity participation and travel behavior identifies three stages. Firstly, subsistence activities and leisure activities are generated. Secondly, each activity participation produces trip volumes and travel times. Finally, the sum of travel times forms trip volumes. Looking into the activity participation stages for the workers, their subsistence activies have a tendency to take place first, and leisure activities usually follow. Non-workers generate more simple trip chains and most of their first stage activities are leisure related.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.2
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• pp.117-128
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• 2017

This study confirmed the types of shopping information sources during travel abroad, and developed a profile of tourists in terms of demographics, travel, and shopping behavior. Shopping information sources and characteristics of shopping products were identified first. Thereafter, travelers were segmented by their information-seeking behavior. An online survey method was used to get data from Korean vacationers in their 20s-50s, while factor analysis, cluster analysis, ${\chi}^2$ test and ANOVA were applied to analyze data. The results were as follows. First, the shopping information sources of overseas tourists were composed of four factors including sources from travel agents/media, information from travel books and local sources, and word-of-mouth sources. Also, four factors in product types and four product attributes were identified. Second, tourists were clustered into two groups, active and passive shopping information seekers, based on shopping source behavior. Third, two groups differed in terms of demographics, showing an older age and higher income for active shopping source seekers. Active shopping information users tended to join package trips with family members, and they were more satisfied with the trip. With regard to shopping, active shopping source seekers spent more money for shopping and preferred all kinds of shopping goods with an emphasis on travel shopping. In conclusion, shopping information sources seemed to be a meaningful tool for segmenting tourists. Rich, older, family tourists would be an major target market for local retailers.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.17 no.1
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• pp.69-84
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• 2006

Recently, Cruise travel Industry becomes a major market in the SIT tour. this perspective, the primary purpose of this study was to investigate relationship between influencing factors of the Selection Attributes of Cruise Tour. This research aims to provide information to establish customer-oriented marketing strategies in developing by cruise tour. The current study examined related literature finding out the number of the factors to meet future users preference and expectations. Based on examined factors, the study investigated the same dimensions in Korea future cruise industry. The data collected outgoing tourists of travel service company. The Survey instrument consisted of asking respondents a number of questions regarding their intention, preferences, and expectations toward future cruise travel. The result of study showed that a certain number of factors were statistically significant on the future users cruise travel intention. It shows that there was significant difference related to the using purpose and the usage attitude. It can be conducted from the results that respondents expected a certain number of factors when the cruise travel launched in korea.

• Ocean and Polar Research
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• v.30 no.2
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• pp.141-148
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• 2008

This paper aims at estimating consumer surplus for recreational sea fishing in Tongyeong coastal area using individual travel cost method. A Poisson model (PM), a negative binomial model (NBM), a truncated Poisson model (TPM), and a truncated negative binomial model (TNBM) are applied for individual travel cost method in order to account characteristics of count data (non-negative discrete data.) The survey was conducted for 462 inshore anglers using personal interview method in Tongyeong during July and October 2007. Respondents were asked about how often they do fishing, travel costs, catch, income, and so on. Because of over-dispersion problem in PM and TPM, NBM and TNBM were considered to be more appropriate statistically. All parameters estimated are statistically significant and theoretically valid. As the results based on TNBM, consumer surplus per trip was estimated to be 183,486 won, total consumer surplus per person and per year 3,399,658 won, and the marginal effect of consumer surplus on % changes in catch rate is 185,372 won.

• Journal of Korean Society of Transportation
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• v.28 no.1
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• pp.51-61
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• 2010

The main objective of this paper is to analyze change of travel patterns according to public transportation reform. The paper uses data collected from Gyeongsan City. So far few researches, especially using before-and-after individual travel survey, have been conducted on analyzing effects of public transportation reform. For this research, some descriptive statistical analyses and statistical hypotheses tests were conducted. Furthermore, some empirical logit models were estimated for analyzing the individual effects of the public transportation reform. Finally, some important foundings, policy implications, and limitations of this research are discussed.