In this study, we target demand-responsive smart mobility, i.e., a bus-type rural transportation model, that has recently been activated to target public transportation-vulnerable areas in urban-rural integrated cities, and empirically analyze the effects of travel time and service factors on user satisfaction with the transportation mode. An ordered logit model was used for the empirical analysis of a field survey of 449 passengers regarding their usage status and satisfaction with demand-responsive smart mobility in rural areas across the country. As access and travel times increased, bus user satisfaction decreased. Particularly, access time was approximately 1.6 times more important than travel time. Meanwhile, satisfaction with demand-responsive smart mobility was found to increase as drivers were kind and drove safely, vehicles were convenient and ran on time, lines and stops were appropriate, fares were satisfactory, and information on schedules and how to use them was available. Among these service elements, the kindness of the driver was analyzed as the most important variable. This suggests that to activate the use of demand-responsive smart mobility, considering the selection of pick-up and drop-off locations to reduce access time and to make efforts to increase the kindness of drivers is important. The essential flexible schedule of demand-responsive smart mobility, i.e., the use of demand-responsive smart mobility, can be activated only when an operating environment is created that reduces access time and in-vehicle travel time. In other words, it is difficult to revitalize the use of demand-responsive smart mobility if it operates on a fixed route and schedules similar to those of existing buses.

정확한 도선사 수요와 공급을 예측하기 위해서는 수요산정의 결정요인을 도출할 필요가 있다. 왜냐하면 이는 선박과 항만의 안전을 확보하는 것과 직결되어 있기 때문이다. 적절한 도선사 수의 확보는 도선사의 수입과도 직결되는 문제이기 때문에 도선관계자, 정부 및 도선이용자간의 이해가 상충되기도 한다. 따라서 도선서비스 관련 이해관계자를 모두 만족시킬 수 있는 합리적인 도선사 수요산정 결정요인의 도출 및 그 수요예측을 통해 적절한 수의 도선사를 확보하여 양질의 도선서비스가 제공될 수 있도록 하여야 할 것이다. 이 연 구는 현행 중앙도선운영협의회에서 사용하는 도선사 수요산정 결정요인의 문제점을 밝히고 그 개선점을 도출하기 위하여 현행 도선사 수요산정 결정요인의 산식에 대한 현황조사 및 분석, 이해당사자들에 대한 설문분석 및 해외사례조사 등의 방법론을 통해 합리적인 도선사 수요산정의 결정요소로서 총연평균도선시간, 연평균 도선사 근무시간 및 현행 도선사 수 3가지 요소를 도출하였다.

The objective of this research was to analyze the determinants of demand for residential settlements in rural societies. A significant aspect of the demand analysis was to consider depopulation classification as a moderating variable with a view to its role as an essential dividing factor of socioeconomic characteristics and physical environments of the areas of concern. The data collection for analysis was divided according to types of depopulation into the three categories of less developed, stagnated, and developed areas. For the cause and effect analysis between the residential demand and factors of settlement, the ordered probit model was applied. Significant determinants of settlement demand unfolded according to depopulation types. In the case of less developed areas, residential demand was affected significantly by the factors of daily life convenience and public facilities. Key settlement demand determinants of stagnated regions included the aspects of basic natural environment, daily life convenience and education. Meanwhile, key settlement demand determinants for developed areas included education and agriculture economic aspects. The importance-performance analysis was also applied to a set of settlement characteristics of rural communities to figure out the settlement factors requiring urgent endeavor to improve.