• Korean Journal of Social Welfare Studies
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• v.48 no.2
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• pp.173-201
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• 2017

This study examined the degree of socioeconomic deprivation in the areas of material hardship, health, housing, employment, and social network among people using debt relief programs. The sample, 209 individuals, was recruited from major agencies offering debt relief programs, including Seoul Bankruptcy Court, Credit Counseling and Recovery Service, and Seoul Welfare Foundation. Data were collected through in-person interviews in 2016. The sample was compared in terms of the level of deprivation with the general population and the low-income group, extracted from the Korea Welfare Panel Study. The debtors group demonstrated a substantially higher level of deprivation on all the dimensions examined. For example, the proportion of people who suffered from hunger was 37.8% in the debtors group compared to 6.7% in the low-income group. The proportion of people who had suicidal ideation in the last 12 months was 57.9% compared to 19.2% in the low-income group and 2.7% in the general population. The level of deprivation was different by chapter choice of consumer bankruptcy. Policy and practice implications of the results were discussed.

• Proceedings of the KOR-KST Conference
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• 1995.12a
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• pp.45-73
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• 1995

The current paper presents a system dynamics model which can generate the land use anq transportation system performance simultaneously is proposed. The model system consists of 7 submodels (population, migration of population, household, job growth-employment-land availability, housing development, travel demand, and traffic congestion level), and each of them is designed based on the causality functions and feedback loop structure between a large number of physical, socio-economic, and policy variables. The important advantages of the system dynamics model are as follows. First, the model can address the complex interactions between land use and transportation system performance dynamically. Therefore, it can be an effective tool for evaluating the time-by-time effect of a policy over time horizons. Secondly, the system dynamics model is not relied on the assumption of equilibrium state of urban systems as in conventional models since it determines the state of model components directly through dynamic system simulation. Thirdly, the system dynamics model is very flexible in reflecting new features, such as a policy, a new phenomenon which has not existed in the past, a special event, or a useful concept from other methodology, since it consists of a lots of separated equations. In Chapter I, II, and III, overall approach and structure of the model system are discussed with causal-loop diagrams and major equations. In Chapter V _, the performance of the developed model is applied to the analysis of the impact of highway capacity expansion on land use for the area of Montgomery County, MD. The year-by-year impacts of highway capacity expansion on congestion level and land use are analyzed with some possible scenarios for the highway capacity expansion. This is a first comprehensive attempt to use dynamic system simulation modeling in simultaneous treatment of land use and transportation system interactions. The model structure is not very elaborate mainly due to the problem of the availability of behavioral data, but the model performance results indicate that the proposed approach can be a promising one in dealing comprehensively with complicated urban land use/transportation system.