2019 EJRNL PP MD. SAKOAT HOSSAN 1
Terbatas Yanti Sri Rahayu, S.Sos
» ITB
Terbatas Yanti Sri Rahayu, S.Sos
» ITB
As Global Positioning System (GPS) technology advances, it has been
increasingly used to supplement traditional self-reported travel surveys due to its promising
features in capturing travel data with better accuracy and reliability. Realizing the limitations of diary-based surveys, this paper presents a study that directly accounts for trip
misreporting behavior in trip generation models. Travel data were obtained from prompted-recall assisted GPS survey along with a diary-based survey. Negative Binomial models
for count data were developed to accommodate misreporting behavior by introducing
interaction effects of the sample-indicator variable with various personal and household
variables. The interaction effects indicate how the impacts of the socioeconomic and
demographic variables on trip-making vary across the two samples. Assuming that the GPS
sample represents the ground truth, the interaction effects actually capture the likelihood
and the extent of trip misreporting by detailed personal and household characteristics. The
model results reveal significant interaction effects of several personal and household
variables, indicating misreporting behavior associated with these attributes. The addition of
interaction coefficients to the main effect model represents the real impacts of the independent variables, after compensating for trip misreporting behavior, if any