• Title/Summary/Keyword: Number of Domestic Travel

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Empirical Analysis on Domestic Travel Activities of Workers -Focused on Domestic Travel Numbers, Days and Expenditures- (취업자들의 국내 관광여행 참여에 관한 실증 분석 -일자리 특성별 국내 관광여행 일수·횟수·지출액 차이분석을 중심으로-)

  • Choi, Seung-Mook
    • The Journal of the Korea Contents Association
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    • v.12 no.5
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    • pp.459-469
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    • 2012
  • The purpose of this study is to analyze the domestic travel activities by job characteristic and derive implications to improve the domestic tourism by using 2010 Korea National Tourism Survey data(Ministry of Culture, Sports and Tourism). We classified survey samples(1,813 persons) by 6 job characteristic categories and compared the domestic travel activities(number of travel, day of travel, expenditure of travel). As the results of analysis, the domestic travel activities of paid worker, full-time worker, employers with a 500 or more workers, biweekly five-day worker are more than non-paid worker, part-time worker, employers with a 10 or less workers, worker who work six to seven days a week.

A Difference Analysis of Domestic Family Travel Participation by Demographics of Family (가족의 인구통계적 특성별 국내 가족관광 참여에 대한 차이 분석)

  • Choi, Seung-Mook;Park, Jung-Suk
    • The Journal of the Korea Contents Association
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    • v.13 no.8
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    • pp.433-442
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    • 2013
  • Families form the consumer base of travel market and the family travel patterns are highly dependent on family characteristics. It is therefore crucial to gain a better understanding of the impact of family characteristics on family travel participation. But tourist research has rarely taken notice of family travel participation in Korea. Taking an empirical perspective, this paper examines family tourism participation by Korean household demographics characteristics and derive implications to improve the domestic tourism using 2011 Korea National Tourism Survey data. As the results of analysis, there are significant difference in the total number of family travel days and expenditure by the size of the municipality where the household is located. And there are significant difference in the number of family travels, the total number of family travel days and expenditure by family income and the overall number of family members.

A Study on the Air Travel Demand Forecasting using ARIMA-Intervention Model (Event Intervention이 일본, 중국 항공수요에 미치는 영향에 관한 연구)

  • Kim, Seon Tae;Kim, Min Su;Park, Sang Beom;Lee, Joon Il
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.21 no.4
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    • pp.77-89
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    • 2013
  • The purpose of this study is to anticipate the air travel demands over the period of 164 months, from January 1997 to August 2010 using ARIMA-Intervention modeling on the selected sample data. The sample data is composed of the number of the passengers who in the domestic route for Jeju route. In the analysis work of this study, the past events which are assumed to have affected the demands for the air travel routes to Jeju in different periods were used as the intervention variables. The impacts of such variables were reflected in the presupposed demand. The intervention variables used in this study are, respectively, the World Cup event in 2002 (from May to June), 2003 SARS outbreak (from April to May), Tsunami in January 2005, and the influenza outbreak from October to December 2009. The result of the above mentioned analysis revealed that the negative intervention events, like a global outbreak of an epidemic did have negative impact on the air travel demands in a risk aversion by the users of the aviation services. However, in case of the negative intervention events in limited area, where there are possible substituting destinations for the tourists, the impact was positive in terms of the air travel demands for substituting destinations due to the rational expectation of the users as they searched for other options. Also in this study, it was discovered that there is not a binding correlation between a nation wide mega-event, such as the World Cup games in 2002, and the increased air travel demands over a short-term period.

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.

A Study on the Improvement of Means of Egress Based on NFPA 101 (NFPA 101 피난 안정성 평가에 기초한 피난 규정 개선 방향 연구)

  • Kyeung-Ho Kang;Suck-Hwan Joung
    • Journal of the Korea Safety Management & Science
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    • v.25 no.1
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    • pp.31-38
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    • 2023
  • The object of this study is to evaluate whether the means of egress of Jechon Sports Center and Miryang Sejong Hospital, where massive fire human casualties occurred in 2017 and 2018 respectively, comply with NFPA 101(Life Safety Code), and to suggest the need for supplementation of domestic means of egress regulations. The study evaluated the number and arrangement of the means of egress, travel distance, common path of travel, dead end and discharge from exit for each building by applying the means of egress regulations of NFPA 101. As a result of the evaluation through NFPA 101, the travel distance was appropriate, but some of the other items except for the travel distance did not meet NFPA 101. The regulations that need to be supplemented are 1)occupant load calculation 2)egress capacity calculation 3)continuous concept of means of egress 4)concept of common path of travel. It is especially necessary to revise the requirement for fire door of the evacuation floor(normal 1st floor) of the stairwell in case of below the five story building.

The current state and prospects of travel business development under the COVID-19 pandemic

  • Tkachenko, Tetiana;Pryhara, Olha;Zatsepina, Nataly;Bryk, Stepan;Holubets, Iryna;Havryliuk, Alla
    • International Journal of Computer Science & Network Security
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    • v.21 no.12spc
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    • pp.664-674
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    • 2021
  • The relevance of this scientific research is determined by the negative impact of the COVID-19 pandemic on the current trends and dynamics of world tourism development. This article aims to identify patterns of development of the modern tourist market, analysis of problems and prospects of development in the context of the COVID-19 pandemic. Materials and methods. General scientific methods and methods of research are used in the work: analysis, synthesis, comparison, analysis of statistical data. The analysis of the viewpoints of foreign and domestic authors on the research of the international tourist market allowed us to substantiate the actual directions of tourism development due to the influence of negative factors connected with the spread of a new coronavirus infection COVID-19. Economic-statistical, abstract-logical, and economic-mathematical methods of research were used during the process of study and data processing. Results. The analysis of the current state of the tourist market by world regions was carried out. It was found that tourism is one of the most affected sectors from COVID-19, as, by the end of 2020, the total number of tourist arrivals in the world decreased by 74% compared to the same period in 2019. The consequence of this decline was a loss of total global tourism revenues by the end of 2020, which equaled $1.3 trillion. 27% of all destinations are completely closed to international tourism. At the end of 2020, the economy of international tourism has shrunk by about 80%. In 2020 the world traveled 98 million fewer people (-83%) relative to the same period last year. Tourism was hit hardest by the pandemic in the Asia-Pacific region, where travel restrictions are as strict as possible. International arrivals in this region fell by 84% (300 million). The Middle East and Africa recorded declines of 75 and 70 percent. Despite a small and short-lived recovery in the summer of 2020, Europe lost 71% of the tourist flow, with the European continent recording the largest drop in absolute terms compared with 2019, 500 million. In North and South America, foreign arrivals declined. It is revealed that a significant decrease in tourist flows leads to a massive loss of jobs, a sharp decline in foreign exchange earnings and taxes, which limits the ability of states to support the tourism industry. Three possible scenarios of exit of the tourist industry from the crisis, reflecting the most probable changes of monthly tourist flows, are considered. The characteristics of respondents from Ukraine, Germany, and the USA and their attitude to travel depending on gender, age, education level, professional status, and monthly income are presented. About 57% of respondents from Ukraine, Poland, and the United States were planning a tourist trip in 2021. Note that people with higher or secondary education were more willing to plan such a trip. The results of the empirical study confirm that interest in domestic tourism has increased significantly in 2021. The regression model of dependence of the number of domestic tourist trips on the example of Ukraine with time tendency (t) and seasonal variations (Turˆt = 7288,498 - 20,58t - 410,88∑5) it forecast for 2020, which allows stabilizing the process of tourist trips after the pandemic to use this model to forecast for any country. Discussion. We should emphasize the seriousness of the COVID-19 pandemic and the fact that many experts and scientists believe in the long-term recovery of the tourism industry. In our opinion, the governments of the countries need to refocus on domestic tourism and deal with infrastructure development, search for new niches, formats, formation of new package deals in new - domestic - segment (new products' development (tourist routes, exhibitions, sightseeing programs, special rehabilitation programs after COVID) -19 in sanatoriums, etc.); creation of individual offers for different target audiences). Conclusions. Thus, the identified trends are associated with a decrease in the number of tourist flows, the negative impact of the pandemic on employment and income from tourism activities. International tourism needs two to four years before it returns to the level of 2019.

An Analysis of Travel Pattern for Hazardous Materials Transportation on Expressway through Origin-Destination Flows Estimation (고속도로 링크별 통행량 추정을 통한 위험물질 수송차량 통행행태 분석)

  • Hong, Jungyeol;Kim, Yoonhyuk;Park, Dongjoo
    • Korean Journal of Hazardous Materials
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    • v.6 no.2
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    • pp.68-76
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    • 2018
  • This study aims to provide a methodological framework to estimate the travel demand of hazardous materials transporting vehicles by link and analyze daily traffic patterns on an expressway to develop safety roadway management strategies. Traffic volume of hazardous material vehicles is counted through the on-site investigation at twenty-five tollgates on the expressway, and their demands by a link are predicted through origin-destination flows estimation. The result shows that the number of the domestic hazardous materials vehicles is approximately 51,207 vehicles per day and it indicates that hazardous materials transport vehicles account for 1.5% of total daily traffic on the internal expressway and 6.2% of total cargo traffic volumes. This study roughly estimated how many hazardous materials vehicles pass through the expressway segment. Thus it is expected to be utilized for establishing a systematic highway management strategy in the future by calculating the traffic volume of the hazardous material vehicles traveling on the interstate expressway.

Economic assessment of Cibodas botanical garden as environment and human health service-based ecotourism object

  • Minaputri, Edwina Firdhatarie;Park, Bum-Jin;Joung, Dawou;Bachtiar, Rizal
    • Korean Journal of Agricultural Science
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    • v.44 no.1
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    • pp.123-132
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    • 2017
  • Nowadays, many people suffer from stress because of their jobs, studies, traffic, etc. Daily stress may cause many diseases (Garrett, 1991). One of the methods for reducing stress is experiencing a natural environment (Frumkin, 2001). Cibodas botanical garden (CBG) is one of the most famous travel destinations in Bogor, Indonesia. CBG has the potential for tourism activities. However, an economic assessment is required to verify their sustainability. The research objectives of this study were to identify the characteristics of tourism utilization in CBG, to analyze the economic tourism value of CBG, and to measure the effectiveness of traveling to a natural environment for reducing stress. The research method used was the survey. This study used three data analysis methods: (1) descriptive analysis which was used to identify the characteristics of tourists, (2) travel cost method (TCM), and (3) contingent valuation method (CVM). Results showed some differences in the characteristics of foreign and domestic tourists respondents in age, educational background, income level, number of dependents, and the frequency of their visits. CBG has a high economic value, amounting to IDR (Indonesian Rupiah) 5,508,932,605,405 or approximately USD (United State Dollar) 413,000,000. WTP (Willingness to Pay) of domestic tourist respondents was IDR 29,702 or USD 2.2 per visit, while the value of foreign tourist respondents reached IDR 39,700 or USD 2.9 per visit. Respondents found it preferable to pay more for tickets (WTP value) than to buy medication to reduce their stress.

Predicting Urban Tourism Flow with Tourism Digital Footprints Based on Deep Learning

  • Fangfang Gu;Keshen Jiang;Yu Ding;Xuexiu Fan
    • 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.

Extraction of Satisfaction Factors and Evaluation of Tourist Attractions based on Travel Site Review Comments (여행 사이트 리뷰를 활용한 관광지 만족도 요인 추출 및 평가)

  • Cho, Suhyoun;Kim, Boseop;Park, Minsik;Lee, Gichang;Kang, Pilsung
    • 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.