• Title/Summary/Keyword: Korea travel

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Who Are Domestic Travel Agency Users and Who Buys Full Package Trips? A Study of Korean Outbound Travelers

  • AHN, Young-Joo;LEE, Seul Ki;AHN, Yoon-Young
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.4
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    • pp.147-158
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    • 2019
  • The purpose of this study is to identify differences based on demographic characteristics and travel-related characteristics: first, whether travelers used a domestic travel agency and second whether travelers purchased a full-package travel program. A sample selection probit model was used to provide simultaneous evaluation of the different characteristics of outbound travelers. The present study investigates how tourists make decisions based on two travel-pattern choices. It then goes on to explore the characteristics of outbound travelers from South Korea. The data is drawn from a nationwide survey in South Korea, and a total of 859 surveys were used for analysis. Due to the interdependent nature of the choices, a sample selection probit model was used to estimate outbound tourists' use of domestic travel agency and purchase of full travel package. Significant determinants of domestic travel agency use are identified as age, gender, marital status, party size, children, length of travel, and travel distance, while those of full travel package purchase are age, marital status, and travel purpose. Estimated results provide manifestations of differing travel needs of outbound travelers. the results of this study demonstrate differences between travel-agency users and full-package travel-program consumers and provide determinants that affect the purchase of full-package travel.

Influence of Self-Construal on Choice of Overseas Travel Product Type

  • KIM, Young-Doo
    • The Journal of Industrial Distribution & Business
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    • v.11 no.1
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    • pp.29-38
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    • 2020
  • Purpose: Understanding which product types of overseas travel (free independent travel vs. package travel) consumers will choose is one of the key issues of marketing and consumer behavior in travel agency management. Prior studies on overseas travel type preferences mainly focused on comparing regional differences (e.g., Asian vs. Westerner, or Korean vs. Australian, or Korean vs. Japanese, or American, French, Italian vs. Japanese) influencing the choice of overseas travel type. Another researchers focused on comparing cultural differences (e.g., individualism vs. collectivism, or individualistic culture vs. collectivistic culture), subcultural difference (e.g., acculturation; Koreans living in Republic of Korea vs. Koreans living in Australia), travel lifestyle, and socio-demographics (e.g., age, gender, income level, education level, marital status, occupation etc.). However, there are few studies that identify individual psychological differences (i.e., individual psychological differences within the same culture) influencing the choice of overseas travel type. Self-construal is a psychological factors that greatly influences choice behavior. The purpose of this study was to examine the role of self-construal as an antecedent variable influencing choice of overseas travel product type. Research design, data and methodology: To achieve the purpose of this study, the questionnaire survey method was used. Self-construal items composed of independent self-construal items and interdependent self-construal items. Product types of overseas travel were free independent travel (FIT) type versus package travel type. In this study, the correlation coefficient between independent self-construal and interdependent self-construal was nonsignificant. It meant that the relationship between independent self-construal and interdependent self-construal was orthogonal. Therefore it was analyzed that independent self-construal and interdependent self-construal separately. Reliability analysis, factor analysis, and logistic regression analysis (controlling gender and age) was used as the data analysis method. Results: According to the results of this study, the stronger independent self-construal, the more preference for the free independent travel type rather than package travel, and the stronger interdependent self-construal, the more preference for the package travel type rather than free independent travel. Conclusions: Self-construal is an antecedent variable influencing the choice of travel type. Travel agencies must consider the consumer's self-construal (independent self-construal vs. interdependent self-construal) before planning and designing overseas travel products.

A Study on the Air Travel Demand Forecasting using time series ARIMA-Intervention Model (ARIMA-Intervention 시계열모형을 활용한 제주 국내선 항공여객수요 추정)

  • Kim, Min-Su;Kim, Kee-Woong;Park, Sung-Sik
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.20 no.1
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    • pp.66-75
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    • 2012
  • The purpose of this study is to analyze the effect of intervention variables which may affect the air travel demand for Jeju domestic flights and to anticipate the air travel demand for Jeju domestic flights. The air travel demand forecasts for Jeju domestic flights are conducted through ARIMA-Intervention Model selecting five intervention variables such as 2002 World Cup games, SARS, novel swine-origin influenza A, Yeonpyeongdo bombardment and Japan big earthquake. The result revealed that the risk factor such as the threat of war that is a negative intervention incident and occurred in Korea has the negative impact on the air travel demand due to the response of risk aversion by users. However, when local natural disasters (earthquakes, etc) occurring in neighboring courtiers and global outbreak of an epidemic gave the negligible impact to Korea, negative intervention incident would have a positive impact on air travel demand as a response to find alternative due to rational expectation of air travel customers. Also we realize that a mega-event such as the 2002 Korea-Japan World Cup games reduced the air travel demand in a short-term period unlike the perception in which it will increase the air travel demand and travel demands in the corresponding area.

Travel Pattern Analysis Using TCS Data and GIS in Korea (TCS 자료 및 GIS를 이용한 한국의 통행패턴 분석)

  • Kim, Jae-Hun;Chung, Jin-Hyuk;Choi, Min-Hwan;Chang, Hoon
    • Journal of Korean Society of Transportation
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    • v.26 no.3
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    • pp.75-84
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    • 2008
  • In 2002, the 5-day workweek policy was effective in Korea. As we have expected, the 5-day workweek policy has changed people's travel behavior during weekdays and weekends. Several studies have been done to understand these changes and impacts on transportation systems. However, these studies have only focused on travel pattern changes without considering spatial factors. Said in another way, although individual travel pattern changes are usually investigated, indices adopted cannot describe travel pattern changes in a proper way due to lack of the spatial distribution measure. This study aims to analyze travel change since the 5-day work week policy in effect using a new index (i.e. Travel Vector Index) developed in this study, which can explain travel pattern changes in terms of magnitude and spatial point of views. The new index uses a GIS technology and TCS (Toll Collection System) databases in Korea. The results in this study show that the index is very useful and reliable to measure the travel patterns changes. They are applied to TCS data set and the results show that the 5-day workweek policy significantly affects on travel behaviors.

Community-Based Travel Information System Using Augmented Reality (증강현실을 이용한 커뮤니티 기반 여행 정보 시스템)

  • Kwon, Soon-Kak;Jo, Su-Hyun
    • Journal of Korea Multimedia Society
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    • v.18 no.2
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    • pp.97-105
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    • 2015
  • When people go to travel, sometimes one writes many articles about the destination. Existing travel information services such as Blog, Internet Cafe, and SNS are difficult to provide realistic information since the provided information may not be a place directly on the road. This paper presents a travel information system including recommended courses, theme courses, and travel map. In addition, the proposed system can provide the functions of writing, reading, and deleting a message note that stores the travel information based on the augmented reality if a defined marker among the community members is recognized in a smartphone App. Therefore, this paper can present an implementation method for new community system using augmented reality and image processing as well as providing the conventional travel information services, and allows the user to take advantage of the realistic and accurate information.

New Mathematical Model for Travel Route Recommendation Service (여행경로 추천 서비스를 위한 최적화 수리모형)

  • Hwang, Intae;Kim, Heungseob
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.3
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    • pp.99-106
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    • 2017
  • With the increased interest in the quality of life of modern people, the implementation of the five-day working week, the increase in traffic convenience, and the economic and social development, domestic and international travel is becoming commonplace. Furthermore, in the past, there were many cases of purchasing packaged goods of specialized travel agencies. However, as the development of the Internet improved the accessibility of information about the travel area, the tourist is changing the trend to plan the trip such as the choice of the destination. Web services have been introduced to recommend travel destinations and travel routes according to these needs of the customers. Therefore, after reviewing some of the most popular web services today, such as Stubby planner (http://www.stubbyplanner.com) and Earthtory (http://www.earthtory.com), they were supposed to be based on traditional Traveling Salesman Problems (TSPs), and the travel routes recommended by them included some practical limitations. That is, they were not considered important issues in the actual journey, such as the use of various transportation, travel expenses, the number of days, and lodging. Moreover, although to recommend travel destinations, there have been various studies such as using IoT (Internet of Things) technology and the analysis of cyberspatial Big Data on the web and SNS (Social Networking Service), there is little research to support travel routes considering the practical constraints. Therefore, this study proposes a new mathematical model for applying to travel route recommendation service, and it is verified by numerical experiments on travel to Jeju Island and trip to Europe including Germany, France and Czech Republic. It also expects to be able to provide more useful information to tourists in their travel plans through linkage with the services for recommending tourist attractions built in the Internet environment.

Exploring Smoothing Techniques for Reliable Travel-Time Information in Probe-Based Systems (프로브 기반 교통정보 신뢰성 향상을 위한 평활화 기법 탐색)

  • Jang, Jinhwan
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.1
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    • pp.79-88
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    • 2018
  • With the increasing popularity of electronic toll collection system using 5.8 GHz dedicated short-range communications (DSRC) technology, DSRC-based travel-time collection systems have been deployed on major urban and rural arterial routes in Korea. However, since probe sample sizes are frequently insufficient in probe-based systems, the gathered travel times from probe vehicles fluctuate significantly compared to those of the population; as a result, the accuracy of the collected travel times could decrease. To mitigate the fluctuations (also known as biases), smoothing techniques need to be applied. In this study, some smoothing techniques-moving average, the Loess, and Savitzky-Golay filtering-were applied to probe travel times. Resultantly, the error in the smoothed travel times at the lowest sampling plan (5%) decreased as much as 45% compared to those in non-smoothed travel times. The results of this study can be practically applied to probe-based travel-time estimation systems for providing reliable travel times along the travel corridor.

A Study on the Effect of Online Travel Distribution's Brand Community Characteristics on Product Purchase Intention

  • LU, Lianghui;KANG, Min-Jung;SUN, Pengchang
    • Journal of Distribution Science
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    • v.21 no.1
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    • pp.107-117
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    • 2023
  • Purpose: This study attempted to confirm the mediating effect of brand experience and to travel brand community satisfaction in the relationship between the characteristics of brand community contents and travel product purchase intention. This study also investigated the moderating role of consumer characteristics. Research design, data and methodology: Based on a total of 381 bytes of data, hypothesis verification was conducted using Smart-PLS 3.2.8 statistical package programs. Results: First, the content community travel brand attributes, personal affordability and creativity are a lingering fragrances on the intended consumers ' shopping trip. Second, information provision, interaction, and creativity, which are the characteristics of travel brand community content, influenced consumers' intention to purchase travel products through brand community satisfaction. Third, playfulness, vitality, and creativity, which are the characteristics of travel brand community content, influenced consumers' intention to purchase travel products through double mediation of the experience and community satisfaction of brand. Conclusions: Tourism industry managers should be able to market content by forming their own brand community. It is necessary to create an environment in which tourism industry managers can use social media travel brand community content to give discounts to consumers, provide creative, playful and vivid travel information.

A Development of Preprocessing Models of Toll Collection System Data for Travel Time Estimation (통행시간 추정을 위한 TCS 데이터의 전처리 모형 개발)

  • Lee, Hyun-Seok;NamKoong, Seong J.
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.8 no.5
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    • pp.1-11
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    • 2009
  • TCS Data imply characteristics of traffic conditions. However, there are outliers in TCS data, which can not represent the travel time of the pertinent section, if these outliers are not eliminated, travel time may be distorted owing to these outliers. Various travel time can be distributed under the same section and time because the variation of the travel time is increase as the section distance is increase, which make difficult to calculate the representative of travel time. Accordingly, it is important to grasp travel time characteristics in order to compute the representative of travel time using TCS Data. In this study, after analyzing the variation ratio of the travel time according to the link distance and the level of congestion, the outlier elimination model and the smoothing model for TCS data were proposed. The results show that the proposed model can be utilized for estimating a reliable travel time for a long-distance path in which there are a variation of travel times from the same departure time, the intervals are large and the change in the representative travel time is irregular for a short period.

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Decision-making Process for Choosing Alternative Outbound Travel Product (해외여행상품 선택을 위한 의사결정 프로세스에 관한 연구)

  • Kang, Inwon;Park, Chanwook
    • Knowledge Management Research
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    • v.10 no.3
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    • pp.99-113
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    • 2009
  • The goal of this article is to ascertain the factors that govern consumers' choosing to outbound travel product. The authors assess the consumers' travel product choosing processes with information search(internal knowledge, external information knowledge). alternative evaluation(perceived image, emotional experience, price acceptability, appeal, trust), and alternative choice(purchasing intention). Using data on Thailand travel product, the authors find considerable results and conclude by discussing prescriptive recommendations for the travel industry.

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