Multilevel modelling of commercial vehicle inter-arrival duration using GPS data
This study uses truck global positioning system (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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier.
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Authors:
- Sharman, Bryce W
- Roorda, Matthew J
- Publication Date: 2013-9
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 94-107
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Serial:
- Transportation Research Part E: Logistics and Transportation Review
- Volume: 56
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1366-5545
- Serial URL: http://www.sciencedirect.com/science/journal/13665545
Subject/Index Terms
- TRT Terms: Commercial vehicle operations; Freight traffic; Global Positioning System; Market segmented groups; Probits; Shipping; Trucks
- Uncontrolled Terms: Vehicle interarrival time
- Subject Areas: Freight Transportation; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01490238
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 20 2013 9:05AM