Data Collection Survey on Urban Transport for Lima and Callao Metropolitan Area
Data Collection Survey on Urban Transport for Lima and Callao Metropolitan Area Result of Matrix Calibration ‐ Private Mode y = 0.9867x R² = 0.9511 3,000 2,500 2,000 1,500 Modeled 1,000 500 ‐ ‐ 500 1,000 1,500 2,000 2,500 3,000 Observed Source: JICA Study Team Figure 5.5 Results of matrix calibration of the private mode Result of Matrix Calibration ‐ Public Mode y = 1.108x R² = 0.8918 45,000 40,000 35,000 30,000 25,000 20,000 Modeled 15,000 10,000 5,000 ‐ ‐ 5,000 10,000 15,000 20,000 25,000 30,000 35,000 40,000 Observed Source: JICA Study Team Figure 5.6 Results of matrix calibration of the public mode 5.5 Transport Models 5.5.1 Trip Generation Model (1) Model Structure The total demand by traffic zone is estimated in the trip generation model. The model consists of the production model and attraction model. The multiple linear regression, which estimates parameters for a linear relationship between a set of explanatory variables and dependent variables, was employed for the model. - 5-7 - Data Collection Survey on Urban Transport for Lima and Callao Metropolitan Area To establish the relationship, the trips were classified in three groups: - Home-based Work purpose trip - HBW: a work purpose trip from or to the home of the trip maker; - Home-based School purpose trip - HBS: a study purpose trip from or to the home of the trip maker; - Other purpose trip - OP compound by: Home-based Other purpose trip - HBO: another purpose trip from or to the home of the trip maker; and Non home-based trip - NHB: a trip of which the origin and destination are not the home of the trip maker.
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