• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.347-354
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• 2010

Rapidly increasing aged population provides an ample market opportunity for the Korean travel industry, and from national policy perspective, it poses an fortified demands for welfare tourism. In the fierce competition, this emerging market can serve as a lucrative target market for tourism & travel industry in Korea. In addition, using tourism for the aged as a social welfare policy can be a potentially viable means to mitigate the increase social pressure due to rapid population aging. This rationale is based on the assumption that tourism contributes to higher level of perceived life satisfaction compared to other leisure activities among the aged. In this study, using empirical data collected from 185 respondents aged 55 and above in Cheong Ju area, the effect of demographic factors and trip-related behaviors on life satisfaction was tested. The results indicate that economic and health conditions affect life satisfaction positively, while trip-related behaviors did not exert any significant effect on life satisfaction. In light of the results, practical implications for marketing and policy-making were presented in detail.

• Journal of the Korean Society of Food Culture
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• v.26 no.4
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• pp.344-353
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• 2011

The objective of this study was to classify dining-out customers' behaviors at ski resorts based on their restaurant selection factors. Data were collected one-on-one via interview questionnaires of 178 customers at the ski resorts. The mean scores of important attributes (4.12) and satisfactory attributes (3.08) for the sport&leisure purpose group were analyzed. For the date&family trip purpose group, the important attributes (4.13) and satisfactory attributes (3.06) were evaluated, resulting in a significant difference between the two visiting-purpose groups by independent t-test (p<0.05). The recognized important attributes for the sport&leisure purpose group were food taste (4.54), hygiene (4.53), menu variety (4.22), menu price (4.15), and convenience (4.12), and the most recognizable satisfactory attributes were related to convenience (3.52), waiting time (3.95), and employee service (3.90). For the date&family trip purpose group, recognized important attributes were hygiene (4.83), food taste (4.67), menu price (4.40), convenient (4.33), menu variety (4.25), waiting time (4.21), and employee service (4.10), and marked satisfactory attributes were convenience (3.65), hygiene (3.31), atmosphere (3.25), employee service (3.23), waiting time (3.17), and food taste (3.00). These results suggest that restaurant selection attributes would be useful tools to restaurant managers in controlling the quality of foodservice and satisfying service requirements for dinning-out customers at ski resorts.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.5
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• pp.87-97
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• 2013

This study tried to explore the quantitative travel heterogeneity between elderly and non elderly people, focusing on urban and rural areas in south Chungcheong province. For the analysis, a PLS(Partial least square) model is applied with economic and traffic environment characteristics of the urban and rural areas. The characteristics of elderly and non elderly people in the urban and rural areas are derived from the 2011 person trip survey. As a result, the study found out that the key factors affect on elderly people in the urban and rural areas are bus operation interval, number of bus operation routes, number of household member, and a monthly average income of household. In case of non elderly people, areas economic factors such as GRDP, the rate of economic activity, and employment status as well as those of elderly people. Meanwhile, female elderly people in rural area have more sensitivity compared to male elderly people and the gender heterogeneity is not revealed in non elderly people.

• Journal of People, Plants, and Environment
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• v.23 no.2
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• pp.233-243
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• 2020

This study collects social big data used in various fields in the past 9 years and explains the patterns of major keywords of the arboretums and botanical gardens to use as the basic data to establish operational strategies for future arboretums and botanical gardens. A total of 6,245,278 cases of data were collected: 4,250,583 from blogs (68.1%), 1,843,677 from online cafes (29.5%), and 151,018 from knowledge search engine (2.4%). As a result of refining valid data, 1,223,162 cases were selected for analysis. We came up with keywords through big data, and used big data program Textom to derive keywords of arboretums and botanical gardens using text mining analysis. As a result, we identified keywords such as 'travel', 'picnic', 'children', 'festival', 'experience', 'Garden of Morning Calm', 'program', 'recreation forest', 'healing', and 'museum'. As a result of keyword analysis, we found that keywords such as 'healing', 'tree', 'experience', 'garden', and 'Garden of Morning Calm' received high public interest. We conducted word cloud analysis by extracting keywords with high frequency in total 6,245,278 titles on social media. The results showed that arboretums and botanical gardens were perceived as spaces for relaxation and leisure such as 'travel', 'picnic' and 'recreation', and that people had high interest in educational aspects with keywords such as 'experience' and 'field trip'. The demand for rest and leisure space, education, and things to see and enjoy in arboretums and botanical gardens increased than in the past. Therefore, there must be differentiation and specialization strategies such as plant collection strategies, exhibition planning and programs in establishing future operation strategies.

• Journal of Korean Society of Forest Science
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• v.109 no.2
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• pp.231-242
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• 2020

This study identified the types and features of forest leisure activities based on data from the Nationwide Survey on Forest Leisure Activities (N= 6,191). Further, the study analyzed the demographic impact factors of the categorized forest leisure activities according to four types of objectives reported by visitors: health promotion, education, relaxation, and leisure sports. The investigation revealed that people visit forests for relaxation regardless of the season; however, leisure-sports visitors engage in activities that occur in summer, are most expensive, and involve the shortest trip time. The study also found that age, gender, household incomes, and the presence of children were the most important factors influencing the selection of activities. Age was found the predominant consideration: the older the age was, the more likely people were to prefer the relaxation and health promotion type. Men were more likely to choose health promotion activities over relaxation and tended to prefer educational trips over relaxation when accompanied by children. Higher household incomes corresponded to an increased likelihood of visitor preferences for relaxation over education and for health promotion over relaxation. This study contributes to the extant literature by statistically determining the nationwide predominance of age as the principal factor driving visitor preferences for forest leisure activities. Future studies should establish policy directions for forest welfare from the perspective of users grouped into day visitors and overnight guests.

• Archives of design research
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• v.15 no.4
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• pp.285-294
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• 2002

According to the dramatical changes from individual trip to the family and couple trip in 1990 caused by both economic growth, rising the level of people's income, and change of social structure such as the increasing time due to the fact of automatic system, and social trends to use this time for their leisure time, this trend influences on the cruise. recently, required for accommodating room to family, the cruise decorated with luxurious things becomes the center of public attention. This study should be a foundation works for developing domestic cruise in near future through surveying a floor plan (plan of room and deck), picture of room, characteristic of space, finish material and interior spatial organization factor & characteristic and analyzing them.

• International Journal of High-Rise Buildings
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• v.10 no.1
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• pp.1-8
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• 2021

Currently, big data and open data, together with traditional measured data, have come to constitute a new data environment, expanding new technical paths for quantitative analysis of the street environment. Streets provide precious linear public space in high-density residential areas. Pedestrian activities are the main body of street vitality. In this paper, 441 street segments were selected from 21 residential districts in high-density downtown area of Shanghai as cases, to quantitatively evaluate the influencing factors of pedestrian activities. Bivariate analysis was performed, and the results showed that street vitality was not only correlated with a highly populated environment, but also with other factors. In particular, the density of entrances and exits of residential properties, the proportion of walkable areas, and the density of retail and service facilities, were correlated with the vitality of street segments. The magnitudes of correlation between the street environmental factors and the pedestrian traffic differed across various trip purposes. Segment connectivity factors were more correlated with walking for leisure than for transportation. While public transportation factors were mainly correlated with walking for transportation, vehicular traffic factors were negatively correlated with walking for leisure.

• Journal of the Korean Society for Railway
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• v.12 no.6
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• pp.915-920
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• 2009

Place Marketing is a new strategy for the regional development, using the regional image, facility and history. The purpose of this paper is to search the possibility of place marketing in the area of railway. Already there were some cases to vitalize the close line and out-of-business station. In this context, some ideas to connect the railway with trip, leisure and regional festival are recommended. For the market place, the cooperation with local government is essential.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.3
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• pp.92-101
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• 2012

Trip demands and patterns on weekends have been changed significantly over the past decade due to the income growth and the spread of the 5-day workweek in Korea. The increased weekend trips for shopping, leisure activities, entertainment and friendship have exacerbated traffic congestion in major highways or principal arterial roads from Friday afternoon through Sunday. Therefore, it is necessary to focus on travel demand forecasts and transport policies for weekend trips by investigating specific characteristics of the trips. Previous research efforts focus on simple analysis of characteristics of weekend trips and comparison of travel characteristics between weekdays and weekends. The paper analyzes the differences between weekday and weekend trips via statistical analyses to derive multiple types of characteristics of weekend trips, and develops Tobit models to identify key factors that may affect the number of trips, using Seoul city's weekend trip survey data in 2006. The model results show that weekend trips appear differently from weekdays by household or individual characteristics. Age, residence area and type of residence affected the number of trips, regardless of the type of the day, whereas gender, occupation, income, presence of household vehicle showed different impacts on trips between weekdays and weekends.

• KIISE Transactions on Computing Practices
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• v.22 no.1
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• pp.38-43
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• 2016

Recent developments regarding transportation technology have positioned travel as a major leisure activity; however, trip-itinerary planning remains a challenging task for tourists due to the need to select Points of Interest (POI) for visits to unfamiliar cities. Meanwhile, due to the GPS functions on mobile devices such as smartphones and tablet PCs, it is now possible to collect a user's position in real time. Based on these circumstances, our research on an automatic itinerary-planning system to simplify the trip-planning process was conducted briskly. The existing studies that include research on itinerary schedules focus on an identification of the shortest path in consideration of cost and time constraints, or a recommendation of the most-popular travel route in the destination area; therefore, we propose a personalized itinerary-recommendation system for which the stay-time preference of the individual user is considered as part of the personalized service.