We revisit, in this paper, issues facing transportation planners estimating and validating household trip generation rates from small-scale household travel surveys. Three problems are addressed:
1) Unusual observations,
2) Small number of observations
3) No observations.
Unusual observations are identified using traditional methods. Classification and regression tree (CART) analysis is proposed for the second problem. Finally, the third problem is addressed using row-column decomposition analysis. The methods are demonstrated using a small-scale household travel survey and are simple enough to be implemented with the resources available to transportation analysts, especially in smaller Metropolitan Planning Organizations.
Within the context of the Federal transportation program states and local agencies must have technical planning processes in place to be able to program federal funds. As a result, Metropolitan Planning Organizations (MPOs) must develop and maintain transportation model sto support various transportation and land use policies. Such requirements raise concerns,particularly among smaller MPOs that lack the resources to undertake expensive primary data collection such as household travel surveys. Frequently, transportation professionals are called to conduct complicated modeling tasks based on small samples. In such cases the investigation of data quality issues during the model development stage becomes critical.
Please click on the link below to download the complete “Trip Generation Revisited: Estimation of Trip Generation Rates from Small-size Household Travel Surveys” report.
Trip Generation Revisited_Small Sized Household Travel-v2
Author / Presenter:
Paul Metaxatos and Rita Morocoima-Black
Presentation Date / Publication Date: