• Proceedings of the KOR-KST Conference
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• 1998.09a
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• pp.160-167
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• 1998

Recent world-wide interest in activity-based travel behavior modeling has generated an entirely new perspective on how the profession views the travel demand process. This paper seeks to further promote the case of activity-based travel behavior models by providing some empirical evidence of relationship between travel time and activity duration decision for worker with transportation panel data. The travel time from home to work and from work to home, without activity involvement, is estimated by the Ordinary Least Squares (OLS) method. And, the travel time to and from the selected activity and the activity duration are modeled simultaneously by the Three Stage Least Squares (3SLS) method due to the endogenous relationship between travel time and activity duration. Two kinds of models, OLS and 3SLS, include selectivity bias corrections in a discrete/continuous framework, because of the inter-relationship between the choice of activity type/travel mode (discrete) and the travel time/activity duration (continuous). Estimation is undertaken using a sample of over 1300 household two-day trip diaries collected from the same travelers in the Seattle area in 1989. The behavioral consequences of these models provide interesting and provocative findings that should be of value to transportation policy formulation and analysis.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.4
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• pp.759-770
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• 2014

The aim of this study is to examine how time-use and activities are affected by work hours. To achieve this, we focused on the weekday time-use of full-time workers in Seoul Metropolitan Area(SMA). The long 'work hours' are under active discussions since it is related to the quality of life. However, many Social researcher thought that problem of Korean working hours is linked to quality of life in the abstract. Because activity connects time-use and quality of life, the key point is activity under time constraints. Therefore, travel patterns should be understood by time-use and activity patterns. This study composes trip-chains from travel data of 2010 Household Travel Survey(HTS). Grouping trip-chains by activity patterns, we could make sure that a few of activities after work is affected by a short free time. This study has potential implications for the policy of work hours and traffic problems in the evening, and will provide new geographical perspective related to measuring quality of life.

• Journal of Korean Society of Transportation
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• v.29 no.4
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• pp.29-41
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• 2011

This study investigates the factor that influences commuting time to work when individuals allocate their time for different types of activities. The commuting time is an important indicator for an individual to determine the residence and choose the means of transportation. The analysis uses the data collected from people who live in Seoul metropolitan area including Seoul, Incheon and Gyeonggi Province, and commute to work and making the simple linkage travel (home-work-home) within the area. For the analysis, the Cox hazard proportional methodology was adopted. The method is known to be well applied without assuming any distribution in case of the dependent variable being continuous. For the covariate, the interaction effect between the space variable of the work place and the variable of transportation has been also included in the model. The commuting time to work has been estimated for both 1) the whole metropolitan area and 2) the separate regions i.e., Seoul, Incheon and Gyeonggi-Do. The result reveals that characteristic variables related to individual, household and travel properties influence the mode of transportation and the time allocated for commuting to work (p<0.01). This study also demonstrates the usefulness of the Cox hazard proportional model. The data used in this study is the actual household travel data surveyed in 2006 in the metropolitan area, and analyzing the survey data in 2010 is currently in progress. Comparison of the two survey data sets seeking any behavioral change is suggested for the future study.

• Journal of Korea Water Resources Association
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• v.48 no.3
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• pp.197-207
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• 2015

Modification of travel time is necessary in all Nakdong river basin because hydrological conditions of Nakdong river basin were changed after major rivers project. Also calculation of flood travel time at between sections of weirs is necessary. In this study, flood travel time was calculated using hydraulic model and the latest topographical data from Changnyeong-Haman weir to Nakdong river estuary bank. Analysis of discharge and stage conditions were carried out. 84 of the scenarios were organized according to flow rate, discharge type, boundary conditions, and tributary conditions. Flood travel time of initial and peak were calculated with discharge and stage conditions, respectively. The results of this study will be available in practical business work such as flood forecast warning and weir operation on algae removal.

• IE interfaces
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• v.22 no.4
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• pp.359-367
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• 2009

The vehicle travel time between the demand points in downtown area is greatly influenced by complex road condition and traffic situation that change real time to various external environments. Most of research in the vehicle routing problems compose vehicle routes only considering travel distance and average vehicle speed between the demand points, however did not consider dynamic external environments such as traffic situation by service time zones. A realistic vehicle routing problem which considers traffic situation of smooth, delaying, and stagnating by three service time zones such as going to work, afternoon, and going home was suggested in this study. A mathematical programming model was suggested and it gives an optimal solution when using ILOG CPLEX. A hybrid genetic algorithm was also suggested to chooses a vehicle route considering traffic situation to minimize the total travel time. By comparing the result considering the traffic situation, the suggested algorithm gives better solution than existing algorithms.

• Journal of Korean Society of Transportation
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• v.12 no.4
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• pp.131-151
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• 1994

An investigation is given to a behavioral analysis of automobile users applying congestion toll theory for the purpose of maintaining the efficiency of transportation system. A case study is performed for the city of Seoul, where modal split behavior of automobile user groups is analysed in various level of congestion toll. Automobile users are grouped with respect to their income levels and work shift times. Automobile user behavior is then explained against the field data. A Logit-type model is applied for modal split changes through the application of congestion toll. It is found in the case study that the users in the monthly income bracket of 1.0~1.5 million won is the most predictable group whose work travel time begins 7:00~9:00 a.m. It is also found in the study that 1,000~1,500 won of congestion toll whould reduce the auto use as much as 5%.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.513-516
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• 2013

Earthmoving equipment's haul-route has a great influence on the productivity of the earth work operation. Haul-route grade is a critical factor in selecting the haul-route. The route that has low grade resistance contributes to increase machine travel speed and production. This study presents a mathematical model called "Hauling-Unit Optimal Routes Selecting system" (HUORS). The system identifies optimal path that maximize the earth-work productivity. It consists of 3 modules, i.e., (1) Module 1 which inputs site characteristic data and computes site location and elevation using GIS(Geographical Information System); (2) Module 2 which calculates haul time; (3) Module 3 which displays an optimum haul-route by considering the haul-route's gradient resistances (i.e., from the departure to the destination) and hauling time. This paper presents the system prototype in detail. A case study is presented to demonstrate the system and verifies the validity of the model.

• Journal of Korean Society of Transportation
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• v.13 no.2
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• pp.5-18
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• 1995

The aims of this study is to analyzed determinants of work-trip satisfaction degrees in six major metropolitan areas. and to derive urban policy implications. As is well -known, the main determinant of travel satisfaction degree is travel time. However, other factors such as travel mode, psychological factor, and priority in residential location choice are also significant ones. The findings imply that transportation problems are deeply related with housing problems in urban areas. This results provides an evidence of the nature of urban problems, i.e. inter-connectiveness among urban problems. Therefore, this study emphasizes that all urban problems should be treated with careful consideration of other related-urban problems.

• 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.

• 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.