create_makeuse_coefficients: Create input-output make and use cofficients from PECAS AA...

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

Description

Create input-output make and use cofficients from PECAS AA accounts

Usage

create_makeuse_coefficients(pecas_makeuse, faf_data, save_to = NULL)

Arguments

pecas_makeuse	Data frame containing statewide input-output flows in annual dollars, generated by the PECAS AA module
faf_data	Data frame containing the reformatted Freight Analysis Framework (FAF) annual flow data
save_to	File name for saving the derived make and use coefficients in comma-separated value format (optional)

Details

This function converts the PECAS input-output flows by sector into make and use coefficients, used to map commodities produced or consumed by each sector (make and use coefficients, respectively). PECAS already splits flows between transportable and non-transportable commodities, making our job simpler. We simply have to put the data, which is produced for each year PECAS runs, into format we need. The transportable goods are defined using Standard Classification of Transportable Goods (SCTG) codes, which are also used in USDOT data, including their Freight Analysis Framework (FAF), which we uses to define inter-regional flows. We read the FAF data in this function to create a list of each commodity defined within it, which is compared to those found in the make-use data. An error is thrown if one or more commodities are found in the FAF that are not in the make-use data (although not vice-versa, for there might be local production not included in the inter-regional flows). The user can optionally save the derived coefficients in a text file in comma-separated value format.

Examples

make_use <- create_makeuse_coefficients(pecas_makeuse, faf_data,
  "make-use-coefficients.csv")

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