Joint and sequential models for freight vehicle type and shipment size choice

Ahmed, Usman; Roorda, Matthew J.

doi:10.1007/s11116-022-10289-6

Cited by 4 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Like carrier type, vehicle type also varies between different types of establishment. Establishments dealing with food products again are typically located far from the highway and prefer HDVs such as single-unit trucks when the shipment is destined for wholesalers ( 57 , 58 ). In essence, the study findings corroborate the interplay between an establishment’s location choice, choice of vehicle type, and outsourcing decisions.…”

Section: Resultsmentioning

confidence: 99%

Examining the Impacts of Highway Proximity on Freight Flow Patterns of Establishments

Sahu

Chandra

Pani

2022

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

Highway proximity is essential to the economic growth of establishments and productivity of freight operations. The present study is motivated by the discernible gap in knowledge about the potential impacts of highway proximity on freight flow patterns of establishments. This knowledge gap impedes accurately estimating the potential benefits associated with infrastructure investments, especially related to freight-specific facility planning in developing countries. This paper investigates highway proximity impacts on freight establishments’ travel and shipment patterns using a comparative experiment approach. A total of 17 explanatory variables reflecting the freight flow pattern of an establishment have been considered. Proximity impact is evaluated by comparing the means of these explanatory variables among establishments closer to the highway, termed the “Influence” group, and those farther from the highway, defined as the “Control” group. Spatial and kernel analyses are carried out to determine the cut-off distance for demarcating samples into Influence and Control groups. The propensity score matching technique is subsequently used to create matched samples for a one-to-one comparison between the Influence group and Control group establishments. Results suggest that the Influence group typically consists of older establishments with larger business areas, generates many small-sized trips, and is associated with lower tonnage generation, expenditure, and shipment size than the Control group. The study findings are expected to have important implications on the infrastructure investment decision process and planning of freight operations.

show abstract

Section: Resultsmentioning

confidence: 99%