대도시 통행발생 원단위 적용 개선에 관한 연구: 택지개발사업을 중심으로A Study on Improving Application of Trip Generation Rates in Metropolitan Areas: A Case of Residential Area Development Project
- Other Titles
- A Study on Improving Application of Trip Generation Rates in Metropolitan Areas: A Case of Residential Area Development Project
- Authors
- 추상호; 정성봉
- Issue Date
- 2010
- Publisher
- 한국도시행정학회
- Keywords
- 통행발생률; 택지개발사업; 통행수요예측; 카테고리분석; Trip Generation Rate; Residential Area Development Project; Travel Demand Forecasting; Category Analysis
- Citation
- 도시행정학보, v.23, no.4, pp.3 - 21
- Journal Title
- 도시행정학보
- Volume
- 23
- Number
- 4
- Start Page
- 3
- End Page
- 21
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/20933
- ISSN
- 1598-8686
- Abstract
- 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 needs 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.
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