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Title: Minority Transportation Expenditure Allocation Model

Abstract

MITRAM (Minority TRansportation expenditure Allocation Model) can project various transportation related attributes of minority (Black and Hispanic) and majority (white) populations. The model projects vehicle ownership, vehicle miles of travel, workers, new car and on-road fleet fuel economy, amount and share of household income spent on gasoline, and household expenditures on public transportation and taxis. MITRAM predicts reactions to sustained fuel price changes for up to 10 years after the change.

Authors:
; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
DOE/MI
OSTI Identifier:
1230206
Report Number(s):
MITRAM; 000564IBMPC00
DOE Contract Number:
W-31109-ENG-38
Resource Type:
Software
Software Revision:
00
Software Package Number:
000564
Software Package Contents:
Software Abstract; ANL/EES-TM-368; ANL/ES-159;\ 1 CD_ROM
Software CPU:
IBMPC
Open Source:
No
Source Code Available:
Yes
Other Software Info:
Requires the proprietary Lotus 1-2-3 spreadsheet software. This software is not included.
Country of Publication:
United States

Citation Formats

Vyas, Anant D., Santini, Danilo J., and Marik, Sheri K.. Minority Transportation Expenditure Allocation Model. Computer software. Vers. 00. DOE/MI. 12 Apr. 1993. Web.
Vyas, Anant D., Santini, Danilo J., & Marik, Sheri K.. (1993, April 12). Minority Transportation Expenditure Allocation Model (Version 00) [Computer software].
Vyas, Anant D., Santini, Danilo J., and Marik, Sheri K.. Minority Transportation Expenditure Allocation Model. Computer software. Version 00. April 12, 1993.
@misc{osti_1230206,
title = {Minority Transportation Expenditure Allocation Model, Version 00},
author = {Vyas, Anant D. and Santini, Danilo J. and Marik, Sheri K.},
abstractNote = {MITRAM (Minority TRansportation expenditure Allocation Model) can project various transportation related attributes of minority (Black and Hispanic) and majority (white) populations. The model projects vehicle ownership, vehicle miles of travel, workers, new car and on-road fleet fuel economy, amount and share of household income spent on gasoline, and household expenditures on public transportation and taxis. MITRAM predicts reactions to sustained fuel price changes for up to 10 years after the change.},
doi = {},
year = {Mon Apr 12 00:00:00 EDT 1993},
month = {Mon Apr 12 00:00:00 EDT 1993},
note =
}

Software:
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Save / Share:
  • MITRAM (Minority TRansportation expenditure Allocation Model) can project various transportation related attributes of minority (Black and Hispanic) and majority (white) populations. The model projects vehicle ownership, vehicle miles of travel, workers, new car and on-road fleet fuel economy, amount and share of household income spent on gasoline, and household expenditures on public transportation and taxis. MITRAM predicts reactions to sustained fuel price changes for up to 10 years after the change.
  • MITRAM (Minority TRansportation expenditure Allocation Model) can project various transportation related attributes of minority (Black and Hispanic) and majority (white) populations. The model projects vehicle ownership, vehicle miles of travel, workers, new car and on-road fleet fuel economy, amount and share of household income spent on gasoline, and household expenditures on public transportation and taxis. MITRAM predicts reactions to sustained fuel price changes for up to 10 years after the change.
  • This report documents research to estimate coefficients for the Minority Transportation Expenditure Allocation Model (MITRAM) equations. The estimation process is described in terms of the types of data needed and the utility of the resulting coefficients. Using these coefficients, the MITRAM model produces reasonable estimates for transportation energy consumption for average US black and white households based on a range of real gasoline prices similar to those experienced from 1981 through 1986. The model predicts reactions to sustained fuel price changes for as long as a decade after the change. 46 refs., 17 tabs.
  • The Minority Transportation Expenditures Allocation Model (MITRAM) can project various transportation-related attributes of minority and majority populations. Individual components of the model were developed using time-series data and then validated independently using cross-sectional data. The model projects vehicle ownership, vehicle-miles of travel, workers, new car and on-road fleet fuel economy, amount and share of household income spent on gasoline, and household expenditures on public transit and taxis. These attributes are projected for whites, blacks, and both. This report describes how various components of MITRAM work and how to use MITRAM on an Apple Macintosh or an IBM PC. Two spreadsheetmore » software packages are available: Excel for the Macintosh, and Lotus 1-2-3 for the IBM PC. The Excel version produces a set of graphs showing historical and projected values of the transportation attributes, while the LOTUS version presents only the numbers in the spreadsheets. 27 figs., 1 tab.« less
  • This paper presents an analysis of electricity demand by black and nonblack households over the period covered by the five residential energy consumption surveys issued by the Energy Information Administration (EIA) of the US Department of Energy (DOE). The analysis is based on research being conducted at Argonne National Laboratory under the auspices of the Research Program within the Office of Minority Economic Impact (MI) of the US Department of Energy (DOE). A primary objective of our research was the development of an analytical tool to assess the economic impact of energy policy on American minorities. The outcome of thatmore » process has lead to the developmemt of the Minority Energy Assessment Model (MEAM). The analytical backbone of MEAM is the energy demand equation which relates the quantity of energy demanded to prices, income, and other energy related demographic and household characteristics. It provides information that is essential for assessing the effects of policy on energy demand, energy expenditures, and economic well-being. We of course begin with the assumption that consumers are rational and have a well behaved demand function which is relatively stable over time. 12 refs., 4 tabs.« less

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