| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1023440 | Transportation Research Part E: Logistics and Transportation Review | 2013 | 14 Pages |
•We develop models of inter-arrival duration between carrier visits to destinations.•The models are based on longitudinal GPS data linked to other secondary data sources.•Multi-level multinomial logit models outperform multilevel ordered probit models.•Market segmentation improves model results.•Many carrier firms do not follow consistent shipping schedules.
This study uses truck GPS data to study inter-arrival duration, defined as the time between arrivals at a destination of two successive vehicles operated by the same carrier. Destinations were separated into market segments: (1) frequently-visited destinations, (2) regularly-scheduled destinations, and (3) unscheduled destinations, based on visit frequency and regularity. Inter-arrival duration was modelled using multilevel ordered probit and multilevel multinomial logit models. Market segmentation improved modelling results, and multilevel models performed better than single level models. Results showed a wide variation in shipping behavior of commercial establishments and that many firms do not follow consistent shipping schedules.
