• Journal of the Korean Regional Science Association
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• v.31 no.2
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• pp.29-45
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• 2015

Urban household's interest in moving to rural area after retirement have been increasing. Most of them live in rural areal for the sake of pleasant natural environment such as fresh air, clean water. The purpose of the study is to analyse characteristics of them and factors affecting their decision. In 2010, about 27% of urban households wish to migrate to rural area after retirement. The results from the random intercept binary logit model implies that 40~50 age, less high-school graduate and middle-income households are more likely to move. And households are more concerned with residential environment-noise, air, water- than house condition. Also, more people have moved to rural in the region. more households wish to move. It implies that information about urban-to-rural migration and life in rural area affect people's positive attitude to move to rural after their retirement.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.2
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• pp.55-60
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• 2010

The purpose of this study is to analyze compact city planning indicators that have influence on public transportation commuting of residents in the 54 medium and small-sized cities. In the study, land use and transportation infrastructure of cities and other socio-demographic variables are used as explanatory variables in a causal model. 96,552 subjects from 54 cities in korea are selected as the final sample, and a statistical analysis is carried out by applying Random Intercept Logit Model. Analysis shows that a high level of density and jobs-housing balance in the city results in more public transportation commuting. And higher access to bus and subway station influence commuting, so subway & bus stop are important factors to increase public transportation commuting

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.4077-4085
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• 2013

The purpose of this study is to analyze relationships between compact city development and residents' shopping trips in Seoul. Compact city planning factors are classified into land use and traffic environment. The main data source used for this research is 2006 Household Travel Survey data, then a statistic analysis was carried out by applying random intercept logit model. Analysis shows that a high level of residential density increases residents' local shopping. Also, a high level of residential density and land use mix results in more uses of public transportation, bicycle and walking for shopping. Also, more access to public transportation leads to more use of public transportation for shopping. Therefore, compact city development will have a positive impact on activating the use of public transportation, bicycle and walking for shopping.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.9
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• pp.4593-4601
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• 2013

The purpose of this study is to analyze neighborhood's land use and transit accessibility affecting residents' commuting trips through a case study of Seoul. The main data source used for this research is 2010 Household Travel Survey data from which 34,071 observations were selected as the final sample. Then a statistic analysis was carried out by applying random intercept logit model. Analysis shows that a high level of residential density, land use mix in neighborhood results in more use of subway for commuting. And higher access to subway station leads to more use of subway. Therefore, a high dense and mixed use development as well as a high accessibility to transit station can contribute to activating the use of public transportation for commuting. Finally, the walking range of subway station affecting transit mode for commuting is estimated at between 432 to 525m.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.2
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• pp.12-28
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• 2019

Road geometry is one of the many factors that cause crashes, but the effect on traffic accident depends on weather conditions even under the same road geometry. This study identifies the variables affecting the crash severity by matching the highway accident data and weather data for 14 years from 2001 to 2014. A hierarchical ordered Logit model is used to reflect the effects of road geometry and weather condition interactions on crash severity, as well as the correlation between individual crashes in a region. Among the hierarchical models, we apply a random intercept model including interaction variables between road geometry and weather condition and a random coefficient model including regional weather characteristics as upper-level variables. As a result, it is confirmed that the effects of toll, ramp, downhill slope of 3% or more, and concrete barrier on the crash severity vary depending on weather conditions. It also shows that the combined effects of road geometry and weather conditions may not be linear depending on rainfall or snowfall levels. Finally, we suggest safety improvement measures based on the results of this study, which are expected to reduce the severity of traffic accidents in the future.