• Journal of Home Health Care Nursing
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• v.10 no.1
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• pp.52-57
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• 2003

The purpose of this study was to evaluate appropriateness of home health care travel cost. For the evaluation, investigated the operating costs of vehicles used by home care nurses and then were components of home care nurses's annual salaries. Travel costs were then calculated based on actual travel expenses of home health care service. Actual data of 23 hospital-based home care agencies between July, 2002 to December, 2002 were collected for the analysis of the travel costs. The results of this study are : 1) For home visit, 65% of home care agencies turned out to be using only hospital owned cars, and 17.1% be depending purely on home care nurses' cars. On average, 1.9 cars used for home visit. 2) Out of 89 agencies, 23 agencies responded to the travel cost survey. Total maintenance cost of a car per month was 381,457 won. 3) Average per visit personal expenses of home care nurses during travel time turned out to be 7,124won assuming 8 working hours per day, 4 visits per day, and 30 minuets of travel time for each visit. 4) Total home health care travel cost per visit was 12,069 won, which was the sum of actually paid travel cost of 4,945 won and personal expenses during travel time of 7,124. In conclusion. we reckon that current compensation price of home care nurses' travel is inappropriate because total home health care travel costs of 12,069 won per visit turned out to be 2.1 times of currently prevailing standard compensation price of 5,830 per visit.

• 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.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.5
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• pp.605-612
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• 2019

Traditionally, travel demand forecasts have been conducted based on the data collected by a survey of individual travel behavior, and their limitations such as the accuracy of travel demand forecasts have been also raised. In recent, advancements in information and communication technologies are enabling new datasets in travel demand forecasting research. Such datasets include data from global positioning system (GPS) devices, data from mobile phone signalling, and data from call detail record (CDR), and they are used for reducing the errors in travel demand forecasts. Based on these background, the objective of this study is to assess the feasibility of CDR as a base data for travel demand forecasts. To perform this objective, CDR data collected for Daegu Metropolitan area for four days in April including weekdays and weekend days, 2017, were used. Based on these data, we analyzed the correlation between CDR and travel demand by travel survey data. The result showed that there exists the correlation and the correlation tends to be higher in discretionary trips such as non-home based business, non-home based shopping, and non-home based other trips.

• The Korean Nurse
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• v.32 no.1
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• pp.61-76
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• 1993

This study was done in order La provide basic data to a Fee System for hospital based Home Health Care services in Korea in the future. It was done by investigating activities provided to possible Home Health Care clients who could be discharged early from genera] hospitals and then estimating the nursing care fee according to each nursing activity based upon the time used for activity. The subjects of the study were selected by convenience sampling and consisted of 35 clients who might be clients for Home Nursing Care and were presently admitted to a medical- surgical ward of Y University Medical Center located in Seoul, Korea. The data collection period was from September 1, 1991 to September 30, 1991. The research in strum nets utilized for the study were a client selection criterial for Home Health Care developed by Choo(l991) and a check-list of nursing activity developed by researcher. The results of the study were as follows : 1. There were 44 different nursing activities provided in the seven days but the time was calculated for only 25 of the nursing activities. 2. Fees for the 25 different nursing activities were calculated by multipling the median of the average wage of a staff nurse having five years experience in an A grade general hospital to the Lime of the nursing activity. The results were compared with the insurance fee which the government recognized as an appropriate fee for that activity. The nursing activities with a lower calculated fee than the insurance fee were suction, catheterization, exercise education and dressing change. The nursing activities with a higher calculated fee than the government recognized fee were 1M injection and vital sign check. 3. There was a range of 1-15 nursing activities provided daily to the client. For the average number of nursing activities per day of 6.26 events the nursing care fee was calaulated at W 6136 per day. 4. Based upon the results of the study, a recommentdation for a Home Health Care fee per visit based on the nursing activities provided could be formulated for a Home Health Care fee system. It could be formulated as following: 1) Home health Care fee per visit $=[(direct{\;} nursing{\;}fee(direct{\;}nursing{\;}care{\;}time{\;}per{\;}activity{\;}{\times}{\;}average{\;}nursing{\;}wage)+indirect fee]{\times}average$ nursing activity per visit]+management fee+ materials fee+a travel fee In this way a nursing fee could be calculated based upon the result of the study of the nursing fees per visit. 2) Nursing activity fees per visit. = $([direct nursing{\;}care{\;}fee+indirect{\;}nursing{\;}fee]{\times}average$ number of nursing activities provided per visit] (W 6, 136) + travel fee(\ 5, 542) +management fee material $fee({\alpha})\{\;}16, 436+{\alpha}$ The nursing fee per visit as calculated in this research of $\{\;}15, 0000+{\alpha}$ could be adjusted according to the patient's condition or the use of high technology nursing care or according to the amount of time spent for travel. The nursing care fee per visit presented in this study can be validated through a Home Health Care demonstration project.

• Human Ecology Research
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• v.54 no.5
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• pp.529-539
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• 2016

This study confirmed shopping behavior of Korean young overseas tourists and its effect on travel evaluation. I first identified core factors of travel activity preference, travel shopping propensity, and shopping products. The effect of shopping product satisfaction on tour satisfaction and post-tour intention was then investigated. Based on travel activities, tourists were grouped, and their characteristics were compared. An online survey method was performed to obtain data of 20's-30's Korean unmarried people, while factor analysis, regression analysis, chi-square test, analysis of variance (ANOVA), and cluster analysis were applied to analyze data. The results were as follows. First, six travel activities (city life, art/shopping, cultural experience, entertainment, field experience, and friendship), three shopping propensity (novelty/uniqueness, utility, and prestige), and four product groups (fashion goods, household goods, crafts, and foods) were found by factor analyses. Second, travel activity tended to influence shopping propensity, which then influenced shopping products preference. All factors of travel activity seemed to affect the three travel shopping propensities. Third, shopping satisfaction was shown to affect tour satisfaction, and posttour behavior. Finally, four tourist groups (active, social, pleasure, and passive) differed in terms of preferred tour activities, shopping propensity, and tour behavior. Active tourists rated the highest scores and passive ones rated the lowest for most evaluations.

• Journal of Korean Society of Transportation
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• v.30 no.3
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• pp.71-82
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• 2012

This study analyzed factors affecting daily travel times at each stage of commuters' life cycle. In this study, travel times were dealt with in the context of trip chain. That is, the travel time was defined as the total amount of time commuters had spent to move for daily activities from leaving to coming back home. A commuter's life cycle was divided into 6 stages on a basis of both householder's age and family type: i.e., the unmarried youth period, the family forming period, the children education period, the children youth period, the children independence period, and the aged period. Variables such as commuting times, home-based trip cycle recurrences, and the number of stops differed for each stage of life cycle, the latter of which represents how many places a commuter dropped by during a trip cycle. Several factors were found to affect commuting times at each stage of life cycle as a result of applying a Cox proportional hazard model. The empirical study was conducted using 2010' household travel survey data collected from Gyeonggi-do.

• Journal of Home Health Care Nursing
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• v.2
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• pp.5-18
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• 1995

While the socioeonomic status of Koreas has been dramatically increasing in recent years, chronic and geriatric diseases have also been on the rise, bringing about many changes in our health care system. The basic goals of the home health care are to reduce health care costs, to increase the attrition rate in general hospitals, and to care for patients effectively and conveniontly at home. The purpose of this paper is to review and examine the current status of the home health care in Korea throughout the reports, surveys, other informations and education system of home health nurse. We identified the various types of home health care services programs, such as hospital-based home health care operated in public sector(demonstration project) and community-based home health care in health centers or in private sector, that is, Korean Nurse Association. Hospital based home heatlh care model was established as an alternative to traditional in-patiet services. Quality assurance and client satisfaction is an important measure of care received and establishment of payment and reimbursement for home health care services is important in promotng the home health care. We found out a fee-per-visit system composed of three kinds of fees : a basic service fee(16,000 Won), a travel fee(5,000 Won), and per-service fees (variables). Like fees paid for in-patient care, insureds pay 20% and insurers pay 80% of the basic and per-service fee. The travel fee is borne totally by the insured. Home health care continues to be viewed as not only the most preferred way to provide care to clients, but also the most cost effective. Home health care is that component of a continuum of comprehensive health care whereby health services are provided to individuals and families in their places of residence for the purpose of promoting, maintaining, or restoring health, or of maximizing the level of independence, while minimizing illness. Services appropriate to the needs of the individual patient and family should be planned and provided, nursing is to be a force for positive change and enhanced the nursing professionalism. Whatever type of involvement of home health care, it is essential to remember that home health care is highly service-oriented and highly touch health car deilvery system.

• Journal of Korean Academy of Nursing
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• v.36 no.3
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• pp.503-513
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• 2006

Purpose: This study focused on analysing costs per home health care nursing visit based on home health care nursing activities in medical institutes. Method: The data was collected in three stages. First, the cost elements of home health care nursing services were collected and 31 home care nurses participated. Second, the workload and caseload of home care nursing activities were measured by the Easley-Storfjell Instrument(1997). Third, the opinions on improving the home health care nursing reimbursement system were collected by a nation-wide mailing survey from a total of 125 home care agencies. Result: The cost of home health care nursing per visit was calculated as 50,626\. This was composed of a basic visiting fee of $35,090{\\}({\fallingdotseq}355$)$ and travel fee of $15,536{\\}({\fallingdotseq}15$)$. The major problems of the home care nursing payment system were the low level of the cost per visit, no distinction between first visit and revisits, and the limitations in health insurance coverage for home health care nursing services. Conclusion: This study's results will contribute as a baseline for establishing policies for improvement of the home health care nursing cost and for applying a community-based visiting nursing service cost.

• 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 Korean Society of Transportation
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• v.26 no.4
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• pp.87-97
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• 2008

The traditional trip-based modeling approach has assumed that a trip is generated for a purpose. However, the approach has not considered trips as a set of connected trips nor has it considered trip chaining. The purpose of this study is to identify general characteristics of trip chaining, and to explore relationships between trip purposes and trip chains using multivariate regression models. The data for this study come from the 2006 Seoul household travel diary survey. It is found that simple trip chains are dominant phenomena, and socio-economic characteristics such as occupation, income, age, and gender are closely related to types of trip chains. People aged less than 20, females, or high-income people are more likely to have a higher number of home-based trip chains. In addition, commute and school trips for workers and students respectively tend to be strongly associated with simple trip chains, while shopping and leisure trips for housewives tend to be related to simple trip chains.