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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.