Question:

What is the dependent variable in a regression based trip generation model?

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In trip generation models, the dependent variable is typically the number of trips, which is predicted based on various independent factors such as population, land use, and number of households.
Updated On: Dec 22, 2025
  • Population of Traffic Analysis Zone
  • Number of trips
  • Number of employees
  • Number of households
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The Correct Option is B

Solution and Explanation

A regression-based trip generation model is commonly used in transportation planning to predict the number of trips generated by a particular area, zone, or facility based on several independent variables such as population, land use, or the number of households. In the case of a regression model, the dependent variable is the one being predicted or explained, and in this case, the dependent variable would be the number of trips.

Step 1: Identifying the dependent variable.
The dependent variable is the one that depends on other variables and is the outcome of the model. Here, the model predicts the number of trips generated from a particular area. Thus, the number of trips is the variable that is being modeled based on various independent factors like population, household size, employment, and land use types.

Step 2: Clarifying the options.
- (A) Population of Traffic Analysis Zone: This is an independent variable, not the dependent variable.
- (C) Number of employees: This could be a predictor variable in the model, but not the dependent variable.
- (D) Number of households: Similarly, this can be an independent variable, but not the dependent one.
- (B) Number of trips: This is the correct choice since it is the outcome being predicted based on the other variables.

Final Answer: (B)

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