Reviewing trip purpose imputation in GPS-based travel surveys

Estimating Through Trip Travel without External Surveys

Since through trips can be a significant portion of travel in a study area, estimating them is an important part of travel demand modeling. In the past, through trips have often been estimated using external surveys. Recently, external surveys were suspended in Texas, so Texas transportation planners need a way to estimate through trips without using external surveys. Previous research has focu...

Forecasting Net Induced Travel Demand for Optional Trip Purpose by Trip Production Model with Accessibility

Predicting net induced demand can be helpful for better feasibility study before investigating transportation infrastructure. The net induced demand can be defined as newly generated trips, but not shifted trips, by some improvements in transportation systems. This study only focused on the net induced demand rather than any other concepts belong to the general term “induced demand”. The net in...

Superimposing activity-travel sequence conditions on GPS data imputation

This paper proposed an algorithm to decrease the discrepancies between imputation and real GPS data. Based on the activity-travel pattern obtained using a Bayesian Belief Network model, the algorithm takes into account the consistency of the full activitytravel pattern within a day in the sense that the activity-travel sequence is represented in terms of a hierarchical set of tours, and the tra...

Internet Based Travel Surveys

Nonparametric imputation method for nonresponse in surveys

Many imputation methods are based on statistical models that assume that the variable of interest is a noisy observation of a function of the auxiliary variables or covariates. Misspecification of this model may lead to severe errors in estimates and to misleading conclusions. A new imputation method for item nonresponse in surveys is proposed based on a nonparametric estimation of the function...