create_annual_faf_truckloads: Generate annual truckload equivalents using FAF3 Traffic...

In tlumip/swimctr: Oregon SWIM v2.5 Commercial Transport (CT) Model

Description

Generate annual truckload equivalents using FAF3 Traffic Analysis process

Usage

create_annual_faf_truckloads(faf_data, truck_allocation_factors,
  truck_equivalency_factors, empty_truck_factors, debug_trace = FALSE)

Arguments

faf_data	Data frame containing reformatted FAF commodity flow database
truck_allocation_factors	Data frame containing factors that map commodity flows to different types of trucks
truck_equivalency_factors	Data frame containing factors that translate tons into truckload equivalents
empty_truck_factors	Data frame containing factors for calculating incidence of empty trucks, given the trade (domestic versus foreign) and truck type
debug_trace	Turns detailed tracing statements on or off (defaults to FALSE)

Details

This function appends annual truckload equivalents to the FHWA Freight Analysis Framework (FAF) commodity flow forecast database. The process is based upon the FAF3 Traffic Analysis report developed by Battelle, which maps tonnage to truckload equivalents, including empty trucks. The function requires reformatted FAF data that replaces several numeric values with strings that are more intuitive and retains data only for the target year. The function also requires three tables from Chapter 3 of the FAF Traffic Analysis report, and then follows their methodology exactly (but without the errors in the report). The function returns an updated FAF database with truckload equivalents appended to each record.

Examples

faf_annual_trucks <- create_annual_faf_truckloads(faf_data,
  truck_allocation_factors, truck_equivalency_factors, empty_truck_factors)

tlumip/swimctr documentation built on May 31, 2019, 3:53 p.m.