PURPOSES : In this study, the factors affecting commuting time according to city, county, and ward were empirically analyzed. METHODS : We estimated the average commuting time according to city, county, and ward by controlling for the characteristics of individual commuters, using a 2% sample of the Population and Housing Census of the National Statistical Office, and performed a twostage regression analysis using the average commuting time as the dependent variable. RESULTS : Among the regional attributes in the second stage, the share of commuters with different work and living areas was analyzed as a representative factor causing longer commuting times. The proportion of each mode of transportation in the total regional traffic volume and the population and household characteristics were also analyzed as affecting the average commuting time in the region. Particularly, when analyzing regions by dividing them into cities and counties within a metropolitan city and cities and counties within a province, or by dividing them into urban and rural areas, it can be observed that the factors affecting the average commuting time in the region are different, indicating that differentiated transportation policies are required according to the characteristics of the region. CONCLUSIONS : Commuting time entails increasing opportunity costs as wages increase. However, the expansion of the inter-regional transportation infrastructure acts as a factor in increasing job-residence separation and causes contradictory results by increasing the commuting time. If the characteristics of each region are different, and a function hierarchy as a city appears, travel between regions will become more common. Today, the widening gap between urban and rural areas in terms of employment and residential conditions can cause social waste due to increased commuting times. Ultimately, the extinction crisis of rural areas can be alleviated through policy by encouraging proximity to direct employment through the balanced development of jobs and settlement conditions between regions.

본 연구는 서울광역도시권에서 나타나는 도시 스프롤과 통근 패턴간에 어떤 관계가 있는지 분석하는 것을 목적으로 한다. 선행 연구에서 산출된 스프롤 지수들과 사회경제적 특성을 나타내는 주요 지표들을 설명변수로 하고, 자가용 통근시 평균 운전 시간과 대중교통이용 통근자 비율을 종속변수로 하여 두 가지의 회귀모형을 구성하였다. OLS 분석에 비해 GWR 분석에서 모형의 설명력과 적합도가 개선되었으며, 설명변수 중 밀도의 영향력이 가장 큰 것으로 나타났다. 또한 GWR 분석에 의해 전역적 모형에서 는 유의하지 않았으나 국지적으로는 유의하게 나타나는 다양한 설명변수들을 확인할 수 있었다.

PURPOSES : Sleeping hours are an critical factor that influences the lives of office workers. As for sleep characteristics, it is crucial to spend a lot of time; however, it is also important to ensure satisfactory sleep. This study attempted to analyze the factors affecting sleep in terms of time and satisfaction. METHODS : Sleep duration, which is a quantitative component of sleep, was composed of a continuous variable, and multiple regression analysis was employed. For the qualitative component of sleep, sleep time satisfaction was used, satisfaction was composed of binary type, and binary logistic regression analysis was used. Transportation characteristics, including personal and work characteristics, and other factors were used as independent variables. RESULTS : As a result of the analysis, various influencing variables were derived for both sleep duration and satisfaction. The higher the satisfaction with commuting time and commuting fee, age group, health level, and leisure time, the higher the sleeping hours and satisfaction. However, the higher the income or the choice of long-distance transportation, the lower both sleeping hours and satisfaction. Moreover, if they choose a car, have a high academic background, or have children, sleeping hours decrease, but satisfaction is high. Males, singles, and office workers with fewer than five employees had longer sleep hours but lower satisfaction. CONCLUSIONS : Commuting time and work characteristics have varying effects on sleep activity. Therefore, an alternative solution that can enhance both sleeping hours and sleeping hour satisfaction is proposed through the results of this study.

PURPOSES : Disabled people have a low employment rate and poor working conditions, making it difficult for them to get a job compared to non-disabled people. In this study, we examined the characteristics of the commuting environment for the disabled because they experience many difficulties in the commuting environment owing to the physical influence of the disabled. METHODS : Disabled people are expected to have a higher meaning in commuting satisfaction than commuting time. Therefore, in this study, commuter satisfaction was used as a dependent variable, and an ordered logit model was used because it was composed of a five-point scale. RESULTS : As a result of the analysis, both disabled and non-disabled people were identified as influencing factors in salary, satisfaction with the environment around the residence, work characteristics, and public transportation. The main difference was that disabled people were affected by the household income, length of residence, and commuting area, whereas non-disabled people were affected by the personal income, home ownership, and area of residence. Therefore, it appeared that the household income, stability of residence, and short-distance commuting had a strong influence on the satisfaction of the commuting environment of the disabled. CONCLUSIONS : This study showed that if we understand the determinants of commuting environment satisfaction and various environmental factors, it is expected that effective policies to improve the employment rate of the disabled can be determined.

본 연구의 목적은 우리나라의 광역도시권을 대상으로 도시 스프롤이 통근 패턴에 미치는 영향을 분석하는 것이다. 다차원적 측정 방법으로 광역도시권의 시군구 스케일에서 산출된 스프롤 관련 지수들과 사회경제적 특성을 나타내는 지표들을 설명변수로 하고, 자가용 통근(모형 1) 및 대중교통이용 통근(모형 2)을 종속변수로 하여 두 개의 OLS 회귀모형을 구성하였다. 아울러 공간적 의존성과 이질성을 반영한 공간회귀모형과 지리가중회귀모형을 함께 적용함으로써 스프롤과 통근 패턴의 관련성을 고찰하였다. 두 모형 모두 OLS 분석에서 공간회귀분석 및 GWR 분석으로 진행할수록 모형의 설명력과 적합도가 전반적으로 향상되었으며, 설명변수 중 밀도지수의 영향력이 가장 큰 것으로 나타났다. 모형 1에서는 가로접근성지수가, 모형 2에서는 복합지수가 일부 지역에 대하여 유의하였으나 밀도에 비해 영향력이 크지 않았다. 또한 국지적 모형인 GWR을 통해 전역적 모형에서는 탐지하지 못하였으나 국지적으로는 유의하게 나타나는 사회경제적 변수들을 확인할 수 있었다.

PURPOSES: The purpose of this study is to examine public transport service indexes to deal with traffic congestion problems that occur in old industrial complexes during peak hours in an attempt to shift personal car-oriented transportation to public transit-oriented transportation. METHODS : We developed several models to evaluate the effect of public transport service indexes on worke’s mode choice using two primary parameters: overall bus service frequency in old industrial complexes and accessibility to bus stops. Ten old industrial complexes were selected to conduct the survey of workers’commuting patterns. From the survey, personal and travel time attributes were collected and used to estimate a binary logistic model with public transport service parameters. RESULTS : As a result, the mode choice model including the overall bus service frequency variable, better explains than other models indicating providing more frequent bus services to workers in the old industrial complexes can attract them to shift their travel mode to bus transit from personal car. Results can be applied to corresponding city’s bus transit service policy decisions. CONCLUSIONS: In this study, it was possible to estimate the variation of mode choice ratio according to the change of the public transport index, and the mode choice variation by each individual industrial complex can be expected to examine in the further study.

Due to dramatic changes in the trend of corporate management in economics, labor and government, companies are being asked to adapt creative and innovative organizational culture in order to keep sustainability. Under the circumstances, flexible working hour becomes one of very effective method for organization culture improvement. Recently, M company has introduced the new policy of working hours that employees can choose a couple of different time options depending on their personal situations. And it turns out to be very effective to work & life balance, increasing organizational vitality, improving efficiency of business and productivity, recruitment of core human resources, and prevention of deviation; both team and personal performance levels has significantly improved. Therefore, it is highly recommended to adapt flexible working policies for companies seeking for a long term, sustainable corporate vision.

Due to dramatic changes in the trend of corporate management (economic, labor, government), companies are being asked to adapt creative and innovative organizational culture in order to keep sustainability. Under the circumstances, flexible working hour becomes one of very effective method for org culture improvement. Recently, M company has introduced the new policy of working hours that employees can choose a couple of different time options depending on their personal situations. And it turns out to be very effective(work & life balance, increasing organizational vitality, improving efficiency of business and productivity, Recruitment of core human resources, Prevention of deviation); both team and personal performance levels has significantly improved. Therefore, it is highly recommended to adapt flexible working policies for companies seeking for a long term, sustainable corporate vision.

Evidence indicates that lower levels of obesity among school-age children can be achieved through active school travel modes which include walking. This research aims to empirically investigate the explanatory potential of the Ecological and Cognitive Active Commuting (ECAC) model to explain walking to school behaviour among Queensland children. The results from an online survey of 537 carers in Queensland, Australia indicate that the ECAC explained 53.4% of the variance in walking to school. Distance to school moderates the associations among walking to school behaviours, perceived risks, and social norms. Data indicates that changing carers’ social norms and lowering the perceived risks carers associate with walking to school will increase the incidence of walking to school in Queensland.

Currently, in Korea, an accident that takes place during a worker's commuting is generally not considered as work-related accident. However, there are several exceptions such as an accident that occurs in commuting while using transportation provided by an employer, an accident that happens during commuting time that can be regarded as part of a business activity (e.g. tending to work instructed by an employer on the way to or from work), and an accident that is caused by insufficient facility management by an employer. It is even more so as the workers' commuting distance increases with expanding scale of a city, and traffic accident occurs more frequent. Social risk of commuting-time accident is on the rise. Under this circumstance, it is an important social issue to explore how to protect workers from commuting-time accident.

Development of transportation and communication technology has affected our daily life and has caused to separate residential places from working places. Particularly in rural areas, the life zones are incorporated into larger towns or urban areas due to their lack of cultural, social and economic infrastructures. Thus, the analysis of the depended region and the life zone is important for the planning of regional revitalization programs and related project. The purpose of this study is to propose a regional dependency model (RDM) using the origin-destination(O-D) matrix of commuters and compare it with the Nystuen & Dacey model for regional correlation. The regional characteristics are analysed and our RDM were tested using the commuting data on Seoul metropolitan area(Seoul, Gyeong-gi, Incheon) and Chungchung area. The regional correlation model can only explain the determination of regional interaction without considering the direction of regional correlation but our model can show the direction of regional dependencies.