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추상호(Choo Sangho),나승원(Na Seung Won) 한국도시행정학회 2011 도시 행정 학보 Vol.24 No.2
It is important to identify travel behavior of individuals for the efficient transportation investment, and in particular the understanding of the pattern of travel time use has a great usefulness. Hereupon this study is to examine the travel time budget that has been discussed continuously, checking the regularity of travel time and analyzing characteristics at the aggregate level as shown in the previous studies of travel time budget. This study used the Seoul Metropolitan Area Travel Survey in 2002 and 2006, and thereby examined the changes of travel time budget for each individual and total travelers of the Seoul Metropolitan Area and analyzed for each socioeconomic index as the characteristic factor of travel time budget and analyzed the characteristics of travel time classified by travel purpose, mode, and regions. We confirmed that age, gender, income, employment status, ownership of vehicles are significant as the factors that explain daily travel time. It was identified that though individual travel time budget can show differences, the travel time budget classified by type and group at the aggregate level was somewhat constant. It was also found that the travelers tend to extend the distance and frequency of travel rather than diminish the travel time in order to maximize the utility.
추상호(Choo Sangho),정성봉(Chung Sung Bong) 한국도시행정학회 2010 도시 행정 학보 Vol.23 No.4
Trip generation rates has been often used to estimate travel demand for specific transportation facilities and land-use developments. However, there has been a number of errors in demand forecasting because a standardized and rational procedure to apply trip generation rates does not exist. In particular, demand for large-scale developments such as residential land development could have been affected by trip generation rates, resulting in huge or small traffic impacts on the arterial roads nearby. Such results heavily depend on their application methods. The purpose of this study is to develop new methods for survey, calculation, and application of trip generation rates in order to improve their reliability in travel demand forecasting. For survey of trip generation rates, we proposed a sample size look-up table based on a level of confidence and a stratified random sampling method considering residential land size. For calculation of trip generation rates, category analysis of trip generation rates was suggested for travel demand analysis of residential area development sites. For application of trip generation rates, weighted trip generation rates need to be applied to demand forecasting for new residential area development, considering their locations, development sizes, populations, and so on. Our research results would be expected to improve current travel demand forecasting methods for new residential area developments using trip generation rates.
코로나 19로 인한 공유 모빌리티 이용 변화에 미치는 영향요인에 관한 연구 : 신도시 주민을 대상으로
신송현(SHIN, Song Hyeon),추상호(CHOO, Sangho) 대한교통학회 2022 대한교통학회지 Vol.40 No.2
최근, 코로나 19 확산에 대응하기 위한 정부의 다양한 정책들이 사람들의 통행을 제한하고 있으며, 이에 따라 교통부문에는 많은 변화가 발생하였다. 전반적인 변화로는 대중교통과 같은 수단의 이용이 감소하였으며, 새롭게 등장한 공유 경제형 교통서비스인 공유 모빌리티의 이용은 증가한 것으로 나타났다. 특히, 공유 모빌리티 서비스 중 전기자전거, 전동킥보드와 같이, 주로 전기를 동력으로 사용하는 1인용 교통수단인 개인형 이동수단의 이용이 크게 증가하였다. 이처럼 코로나 19 확산에도 이용이 증가하고 있는 공유 모빌리티는 포스트 코로나 시대에 중요한 역할을 할 것으로 판단된다. 따라서, 본 연구에서는 코로나 19 이후 공유 모빌리티의 이용 변화에 미치는 영향요인들을 분석하여, 포스트 코로나 시대에 교통부문 대응 전략을 제시하고자 하였다. 경기주택도시공사에서 실시한 설문조사 자료 중 공유 모빌리티 서비스가 도입된 1, 2기 신도시의 통근자 자료를 활용하여, 공유 모빌리티 이용변화 정도에 대한 순서형 프로빗 모형을 개발하여 영향요인들을 분석하였다. 주요 분석 결과를 살펴보면 첫째, 통근 시 보행 시간이 길수록 코로나 19 이후 공유 모빌리티 이용이 증가한 것으로 나타났다. 둘째, 출퇴근 시 이동수단이 ‘도보와 개인형 이동수단을 함께 이용하는 응답자’, ‘대중교통과 개인형 이동수단을 함께 이용하는 응답자’의 공유 모빌리티 이용이 크게 증가한 것으로 나타났다. 마지막으로 지역특성변수인 상업 ‧ 업무지역 면적비율, 공원 면적비율이 높은 지역에 거주할수록 공유 모빌리티 이용이 감소한 것으로 나타났다. 이러한 결과는 향후 포스트 코로나 시대에 교통부문의 대응전략과 공유 모빌리티의 운영방안 정책에 활용될 수 있을 것으로 기대된다. Currently, in response to the spread of COVID-19, the government has implemented various policies to restrict personal trips. Under these circumstances, the use of public transportation has decreased, while the use of sharing mobility such as sharing e-bikes and sharing e-scooters, a newly emerged sharing economy transportation service, has increased. Therefore, this study tried to explore the influencing factors on change in use of sharing mobility under the pandemic, and to present strategies for the transportation sector in the post-covid era. To this end, we developed ordered probit models for the degree of change in use of sharing mobility, utilizing the survey for residents of the new towns in Seoul Metropolitan Area, conducted by where sharing mobility services were introduced. The model results showed that the longer the walking time of commuters, the more the use of sharing mobility. Secondly, it was found that those who use both walking and personal mobility as commute means, or who use both public transportation and personal mobility, tended to increase the use of sharing mobility. Finally, it was shown that people lived in the area, where either ratio of the commercial/business area or park area was high, were less likely to use sharing mobility. These results can be useful for establishing transport strategies for sharing mobility in the future post-covid era.