• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.1
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• pp.16-27
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• 2016

This study identified the factors which affect pedestrian behavior using the tobit model with a descriptive analysis. Individual characteristics, household characteristics, zone characteristics were selected as the independent variables. Walking frequency and walking time was adopted for the variables which represent walking behavior. The results showed that the walking time models were superior than the walking frequency models. The model for education purpose had the most lowest fitness and the model for others purpose had characteristics mixed up the various purposes. Futhermore, this research found that independent variables: individual, household and zone characteristic variables affected walking activities of elderly pedestrian by purpose. The walking activity decresed when a pedestrian grew older or had a vehicle or a driver's license. The Elderly facilities promoted the walking activity of seniors. As the floor area of neighborhood and business facilities was wide, the walking activities were animated. In addition, the compacted downtown developments decreased the elderly's walking activities, so it is needed to consider those results in terms of the urban planners.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.6
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• pp.50-59
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• 2015

This study aimed at suggesting Willingness To Pay (WTP) for introduction of the Traffic Accident emergency Call (TAC) system by using Contingent Valuation Method (CVM) which is a general valuation method. As the method, this study suggested a WTP estimation method of the TAC system with the double-bound dichotomous choice model. In previous studies, the data are processed differently according to the type of questions and analysis models used for the calculation of willingness to pay. Therefore, we re-organized the model by the cases using the truncated data sets, and showed the difference in WTPs. The dataset was developed by more than 500 questionnaire obtained from online and offline survey with the consideration of composition ratio by age group referring housing census in 2010 to mitigate regional bias of samples. At last, this study applied various statistical methods, survival analysis, multiple regression, and Tobit model for better interpretation of the questionnaires.

• Journal of Korean Society of Transportation
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• v.29 no.2
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• pp.15-24
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• 2011

This study discusses an equity analysis performed to supplement the existing bus service evaluation system. The equity of 179 feeder bus routes in the city of Seoul(Year 2009) is analyzed by employing the modified BCC model along with the desirable inputs such as a number of bus stops and a frequency of operations. In the analysis, each DMU (Decision Making Unit) is assumed to use the desirable inputs, and produces both the index of equity and the index of accessibility. We apply an input-oriented modified BCC model to analyze the equity of the DMUs. The computational result indicates that only 9% of the feeder bus routes are equitable among the total DMUs and the average equity estimate is 0.702. It is also suggested that on average approximately 60% increases of desirable inputs (i.e., a number of bus stops and a frequency of operations) are needed in order to improve equity of DMU in the city of Seoul. The result of the tobit regression analysis on the determinant factors affecting the equity of DMUs shows that all the independent variables (i.e., a number of bus stops and a frequency of operations) are statistically significant at 5% significance level, and the number of bus stops is found to be the most influential factor.

• Korean Journal of Social Welfare
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• v.65 no.3
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• pp.29-52
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• 2013

This study examined how middle-aged and elderly persons allocated their time in overall perspective and whether the patterns were varied by age, socio-demographic factors, and the interaction effect between them. This study analyzed the 2009 Time Use Survey Data (17,096 time-diaries of people aged 45 or more) of the National Statistical Office using tobit regression model. The main results are as follows. First, middle-aged and elderly people gradually decreased paid work times. Second, the patterns of time allocation were varied by age, gender, education level, marital status and household type(Agricultural/non-agricultural). Third, there were interaction effects between age and the socio-demographic factors on paid work time and leisure time. Highly educated or urban persons were likely to have less time in paid work less than other groups with increasing age. And females were likely to have less time in domestic labor and care work than males with increasing age. But they had more time in social and economic productive activities than males. Based on these findings, this study suggests comprehensive approach to analyze the time use of elderly beyond economic working time or leisure time. To establish effective ageing society policy, it is necessary to consider the time allocation of elderly which divided into the social stratification.

• Journal of Korean Society of Transportation
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• v.27 no.6
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• pp.45-53
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• 2009

This study presumes the efficiency of each route by utilizing data of Seoul's exclusive bus routes for the 2008 and the DEA model. In the estimation, it is assumed that the number of passengers and profits of each route is calculated by considering the number of buses and stops, travel distance, intervals and management cost. This study computed the efficiency scores of each bus line in Seoul based on the data for the first half of 2008 and one of the DEA models, namely the BCC model. After analysis using the input-oriented BCC model, out of a total of 18 lines of interest, there were 2 CRS lines and 16 IRS lines. Also, the Tobit Regression Analysis that helps identify the impact of the elements used in the analysis on efficiency scores proved that the most influential element to exclusive buses is the length of intervals.

• Journal of Korean Society of Transportation
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• v.20 no.2
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• pp.59-68
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• 2002

Using 1996 annual observations for 69 bus firms in Seoul, this paper measures firm-level efficiency with data envelopment analysis(DEA) and identifies firm characteristics indicative of differential efficiency in these firms with Tobit regression analysis. The paper then conceptualizes that these firms produce two kinds of output(city/seat bus kilometers or city/seat bus Passengers) using four inputs (labor vehicle, fuel and maintenance). The findings show that, on an average, these firms have only a little input saving potential of 0.9 percent, while not a little output increasing potential of 12.9 percent. On the other hand, it is discovered that these firms operate more efficiently with a lower ratio of maintenance employees to total employees. Furthermore, it appears that both the ratio of seat buses to total buses and average speeds positively affect efficiency in this industry.

• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.31-41
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• 2010

The objective of this paper is to evaluate production efficiency of the commercial road freight transportation industry using quarterly actual data by individual truck drivers from January 2005 to September 2009. In addition, this study analyzes various impact factors that influence production efficiency, including regulatory factors (e.g., entrust management system and multi-level transactions). For this purpose, this study uses data envelopment analysis and a truncated Tobit model. As a result, production efficiency of the general freight sector is higher than those of the other two sectors. Also, production efficiency in the steel goods sector ranks the highest; meanwhile, production efficiency in the oil goods sector ranks the lowest. In particular, production efficiency indicators of the commercial road freight transportation industry fluctuate with time by a small margin, and have an upward tendency on the whole. Finally, some policy implications are given to promote production efficiency of the commercial road freight transportation industry.

• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.43-54
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• 2010

In order to improve the existing evaluation system of bus services and gain more reasonable analysis outputs, the authors evaluate the efficiency of 113 arterial bus routes in Seoul in 2009 using a modified BCC model considering not only desirable outputs but also undesirable outputs. Each Decision Making Unit (DMU) is assumed to use inputs such as possession costs, operating costs, the ratios of median bus stops overlapped route lengths to produce estimates of desirable outputs (the number of passengers and service satisfaction score) and undesirable outputs (CO2 emissions). According to the analysis, the modified BCC model considering both desirable outputs and undesirable outputs shows more appropriate results. DMUs would be more efficient on average to reduce nearly 10% of the 3 inputs (possession costs, operating costs, and overlapped route lengths) and increase by about 160% the ratios of median bus stops. Also, a Tobit regression analysis is conducted to identify the most effective variables for maximum efficiency and discover that the variable of possession costs and the ratios of median bus stops are statistically significant.

• Korean Journal of Social Welfare Studies
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• v.48 no.3
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• pp.117-143
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• 2017

This study empirically analyzed the factors that intensify the unequal distribution of relational goods through the decomposition of relational gaps and the actual condition of relational goods. The results of the analysis are as follows. First, the average time for forming a relationship with family members or others is 158 minutes in 24 hours a day. Second, tobit regression analysis showed that relational goods time increased as they were employed, more family members, and ownership of their home. On the other hand, relational goods decreased when they were female, double-working, aged, divorced, and increased working time. The increase in household income decreased family relational goods, but increased the time with others. Based on the results of this analysis, this study proposed reduction of working time as a way to increase the happiness by sharing the relationship with meaningful people.

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1268-1295
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• 2018

This study examines the effects of policy mix on R&D efficiency in by using data from 2014 and 2016 Korean Innovation Survey. The DEA-Tobit analysis is used to estimate the impact of policy mix on relative R&D efficiency. As a result of the DEA analysis, the R&D efficiency of the Korean manufacturing industry firms is low, because the R&D investment has not been used effectively. According to the Tobit model, policy mix have a positive effect on R&D efficiency. In particular, the combination of market-oriented, market supply-oriented, and supply demand-oriented policy mix showed a positive relationship with R&D efficiency. R&D portfolio is necessary to improve R&D efficiencies and government has to facilitate a policy mix in view of the nature of firms and Consistency of policy tools.