| Title |
Development of Regression-based Bike Direct Demand Models |
| Keywords |
bike demand;population density;direct demand model;correlation analysis;regression analysis;자전거 수요;인구밀도;직접수요모형;상관분석;회귀모형 |
| Abstract |
Bike system is one of the green transportation systems and spotlighted recently. In the TOD (Transit-Oriented Development) based transportation and urban planning, bike system will be the major part as linkage modes. In this paper, bike demand estimation model was firstly established in Korea, with considering of personal and household characteristics of traveller, social and economic characteristics of city, weather conditions, and so on. The model reflects population density, the number of students except elementary school students, the number of vehicles, the length of bike roads, and monthly income. The adjusted R² was 0.738; the model is highly fitted. The results of this paper yield bike demand estimation in the urban planning area; further estimated results will be using to determine economic feasibility and size of bike facility. In other words, this paper is expected to provide the theoretical basis that supporting justification and investment efficiency of bike plans, which are actively progressed recently. |