• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.5D
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• pp.671-677
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• 2011

A diversity of railway network function enhancement projects such as the double tracking, electrification, and direct operation have been actively executed to improve the railway service. When the new rapid transit is provided, how many people will use it instead of other transports? How will the railway choice behavior be changed? Accordingly, in this paper, the applicability of diverted travel demand forecast methods, by Revealed Preference(RP) and Stated Preference(SP) data was reviewed for Daegu metropolitan rail rapid transit service. As the result of combining RP and SP data, including the sequential and simultaneous approach, the total travel time and travel cost parameters are of the right sign and are highly significant. The simultaneous approach is more efficient in terms of the estimation of coefficients. In particular, methods to improve validity of the Mixed RP/SP models, when RP data is used proportionally, the diverted travel demand can be easily identified by railway fare and travel time service level. Therefore, it is considered that this will practically apply even in other regions as well as Daegu metropolitan railway.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.7
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• pp.2436-2443
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• 2010

The present study aims at investigating conflict-raising factors generable for or during a familial travel in our country, with an outlook that understanding of such conflict raisers in an analytic manner be utilized as the basic data for research on travel behaviors. More specifically, key focus in this study was made on the aspect of tourism science, to wit, how sort of conflict inducers existent between a decision maker of a family and its constituents during outdoor travel of that family vary with familial life-cycle in terms of the tourist behavior theory. Such research attempts are likely, firstly, to offer some clues to invigorate inter-communicability among familial stakeholders in determining the travel intention. Secondly, such attempts also expectedly provide better trustability among family members affordable from converged opinions by familial stakeholders. Thirdly, the predictive recognition of factors inducing familial conflicts in a detailed manner is deemed to lead to reduced trial and error in determining decisions among family members.

• Journal of Korean Society of Transportation
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• v.34 no.4
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• pp.341-353
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• 2016

Highway is mainly in charge of middle-long distance of vehicular travel. Trip length has shown a growing trend due to increased commute distances by the relocation of public agencies. For this reason, the proportion of driver-driven accidents, caused by their fatigue or sleepiness, are very high on highways. However, existing studies related to accident prediction have mainly considered external factors, such as road conditions, environmental factors and vehicle factors, without driving behavior. In this study, we suggested an accident index (FDR, Fatigued Driving Rate) based on traffic behavior using large-scale Car Navigation path data, and exlpored the relationship between FDR and traffic accidents. As a result, FDR and traffic accidents showed a high correlation. This confirmed the need for a paradigm shift (from facilities to travel behavior) in traffic accident prediction studies. FDR proposed in this study will be utilized in a variety of fields. For example, in providing information to prevent traffic accidents (sleepiness, reckless driving, etc) in advance, utilization of core technologies in highway safety diagnostics, selection of priority location of rest areas and shelter, and selection of attraction methods (rumble strips, grooving) for attention for fatigued sections.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.167-181
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• 2023

This study utilized TEXTOM, a social network analysis program to analyze changes in current tourism behavior after travel restrictions were eased after the outbreak of COVID-19. Data on the keywords 'domestic travel' and 'overseas travel' were collected from blogs, cafes, and news provided by Naver, Google, and Daum. The collection period was set from April to December 2022 when social distancing was lifted, and 2019 and 2020 were each set as one year and compared and analyzed with 2022. A total of 80 key words were extracted through text mining and centrality analysis was performed using NetDraw. Finally, through the CONCOR, the correlated keywords were clustered into 4. As a result of the study, tourism behavior in 2022 shows tourism recovery before the outbreak of COVID-19, segmentation of travel based on each person's preferred theme, prioritization of each country's corona mitigation policy, and then selecting a tourist destination. It is expected to provide basic data for the development of tourism marketing strategies and tourism products for the newly emerging tourism ecosystem after COVID-19.

• Journal of the Korean Home Economics Association
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• v.42 no.2
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• pp.33-46
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• 2004

This study investigated the plan to activate consumption behavior through research using a questionnaire investigating the consumption behavior of imported famous brand products and conducted a case study in order to supplement the qualitative sense. This research was conducted on women consumers in their 20s and 30s. 483 questionnaires were used for statistical analysis. The interview research was conducted with 10 consumers in the case study. Following are the study results: 1. Women consumers showed the highest level of conspicuous consumption behavior in the consumption behavior of imported famous brand products. 2.The educational level of consumers and friends showed the greatest statistically significant effect on conspicuous consumption behavior. Both the perception on the openness of imports and the frequency of travel abroad had significant effect on function-pursuit consumption behavior, while age and marital status had the greatest effect on aesthetic-pursuit consumption behavior.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.32-48
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• 2023

Autonomous driving technology is shaping the future of personalized travel, encouraging personalized travel, and traffic impact could be influenced by individualized travel behavior during the transition of driving entity from human to machine. In order to evaluate traffic impact, it is necessary to estimate the total number of trips based on an understanding of individual travel characteristics. The Activity-based model(ABM), which allows for the reflection of individual travel characteristics, deals with all travel sequences of an individual. Understanding the relationship between travel and travel must be important for assessing traffic impact using ABM. However, the ABM has a limitation in the data hunger model. It is difficult to adjust in the actual demand forecasting. Therefore, we utilized a Tour-based model that can explain the relationship between travels based on household travel survey data instead. After that, vehicle registration and population data were used for correction. The result showed that, compared to the KTDB one, the traffic generation exhibited a 13% increase in total trips and approximately 9% reduction in working trips, valid within an acceptable margin of error. As a result, it can be used as a generation correction method based on Tour, which can reflect individual travel characteristics, prior to building an activity-based model to predict demand due to the introduction of autonomous vehicles in terms of road operation, which is the ultimate goal of this study.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.1
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• pp.147-157
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• 2013

This study developed the transit transfer mode choice model aimed Daegu transit users using multinomial logit model. Dependent variables of estimating multinomial logit model were transit transfer modes such as bus to bus, bus to subway, subway to subway, bus to others, and subway to others, and explanatory variables which affect transit transfer mode choice were sex, age, occupation, handicap, transfer area, purpose of travel and travel time. Also probability regarding explanatory variables was estimated using multinomial logit model and limit marginal analysis was carried out according to explanatory variables(cost, time). In the results, indicating goodness of fit is very reasonable as ${\rho}^2$=0.354. According to the result of marginal analysis for the selection of probability, when travel time is increased, users of bus to bus and bus to subway prefer to use subway to subway. Furthermore users of bus to bus and bus to subway prefer to use bus to others and subway to others when travel cost is increased in the result of marginal analysis for the selection of probability.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.2
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• pp.50-62
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• 2016

With programmable applications that utilize sensors, such as global positioning systems and accelerometers, smartphones provide an unprecedented opportunity to collect behavioral data in an unobtrusive and cost-effective manner. This paper assesses the relative accuracy and reliability of the Future Mobility Sensing (FMS), a smartphone-based prompted-recall travel survey. We compared the data extracted from FMS with the data collected from the Korea Passenger Trip Survey (PTS), a traditional self-reported, paper-based travel survey. In total, 46 undergraduate students completed the PTS for seven consecutive days, while also carrying their smartphones with the activated FMS applications for the same time span. After completing the PTS, the participants validated their FMS data on the web-based prompted recall surveys. We then matched the validated FMS data with the PTS-based records. The FMS turns out to be superior in detecting short trips, which are usually under-reported in self-reported travel surveys. The reported PTS travel times are longer than for the FMS, suggesting that participants tend to overestimate their travel time in the PTS. This study contributes to the ongoing development of smartphone-based travel behavior data collecting methods.

• Journal of Korean Society of Transportation
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• v.27 no.3
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• pp.131-140
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• 2009

A diversity of railway network function enhancement projects such as the double tracking, electrification, and direct operation have been actively executed to improve the railway service. When the new rapid railway is provided, how many people will use it instead of other transports? How will the railway choice behavior be changed? Accordingly, in this paper, the applicability of diverted travel demand forecast method by Stated Preference(SP) and Transfer Price(TP) data was reviewed for Daegu metropolitan railway service. As the result of implementing the Revealed Preference(RP) and RP+SP model, the total travel time and travel cost parameters are of the right sign and are highly significant. In particular, when TP data is used as the complementary investigation of SP, the boundary value of diverted travel demand can be easily identified by railway fare and travel time service level. Therefore, it is considered that this will practically apply even in other regions as well as Daegu metropolitan railway.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.507-517
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• 2018

This study is focused on analyzing the characteristics of repeat foreign tourists to Korea and suggest how to increase the repeat ratio. As the result of analysis, there were significant differences in the variables of sex, age, country in the case of demographic characteristics and in the variables of travel types, the number of company, the purpose of visit, accommodations, major visiting places and visiting areas in the case of travel characteristic. And also there were significant differences in the variables of accommodation fees per person and expenses per person in their own country in the case of travel expenses and in the variables of immigration formalities, public transportations, accommodations, foods, shopping, tourist attractions and security in the case of satisfaction. Lastly there were significant differences in the variables of revisit intention within 3 years, recommendation intention, the image of Korea(before trip) and the image of Korea(after trip) in the case of behavior intention after trip and image evaluation. Therefore it should be considered the characteristics of repeat foreign tourists when we make the tourism products to increase the repeat ratio.