skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Novel and Practical Method to Quantify the Quality of Mobility: Mobility Energy Productivity Metric

Abstract

Recent technology innovations are enabling fundamental improvements in mobility systems, including options for new travel modes, methods, and opportunities to connect people with goods, services, and employment. A desire to quantify and compare both existing and emerging transportation options motivated development of the mobility energy productivity (MEP) metric described here. The MEP metric fundamentally measures the potential of a city's transportation system to connect a person to a variety of services and activities that define a high quality of life, relative to the convenience, cost, and energy needed to provide these connections. Fundamentally derived from accessibility theory, the MEP advances practice by using readily available travel time data (either from web-based application programming interfaces or outputs from an urban transportation model) combined with established parameters that reflect the energy intensity and cost of various travel modes, and relative frequency of activity engagement. The construction of the MEP metric allows for aggregation and disaggregation to the appropriate spatial, modal, and trip purpose resolution, as analysis needs dictate. As a result, the MEP could be used to compare alternative futures related to technology, infrastructure investment, or policy, providing a much-needed tool for planners, researchers, and analysts.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1531145
Report Number(s):
NREL/JA-5400-73468
Journal ID: ISSN 0361-1981
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Transportation Research Record
Additional Journal Information:
Journal Volume: 2673; Journal Issue: 10; Journal ID: ISSN 0361-1981
Publisher:
National Academy of Sciences, Engineering and Medicine
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; mobility; accessibility; isochrones; energy; productivity

Citation Formats

Hou, Yi, Garikapati, Venu, Nag, Ambarish, Young, Stanley E., and Grushka, Tom. Novel and Practical Method to Quantify the Quality of Mobility: Mobility Energy Productivity Metric. United States: N. p., 2019. Web. doi:10.1177/0361198119848705.
Hou, Yi, Garikapati, Venu, Nag, Ambarish, Young, Stanley E., & Grushka, Tom. Novel and Practical Method to Quantify the Quality of Mobility: Mobility Energy Productivity Metric. United States. doi:10.1177/0361198119848705.
Hou, Yi, Garikapati, Venu, Nag, Ambarish, Young, Stanley E., and Grushka, Tom. Tue . "Novel and Practical Method to Quantify the Quality of Mobility: Mobility Energy Productivity Metric". United States. doi:10.1177/0361198119848705. https://www.osti.gov/servlets/purl/1531145.
@article{osti_1531145,
title = {Novel and Practical Method to Quantify the Quality of Mobility: Mobility Energy Productivity Metric},
author = {Hou, Yi and Garikapati, Venu and Nag, Ambarish and Young, Stanley E. and Grushka, Tom},
abstractNote = {Recent technology innovations are enabling fundamental improvements in mobility systems, including options for new travel modes, methods, and opportunities to connect people with goods, services, and employment. A desire to quantify and compare both existing and emerging transportation options motivated development of the mobility energy productivity (MEP) metric described here. The MEP metric fundamentally measures the potential of a city's transportation system to connect a person to a variety of services and activities that define a high quality of life, relative to the convenience, cost, and energy needed to provide these connections. Fundamentally derived from accessibility theory, the MEP advances practice by using readily available travel time data (either from web-based application programming interfaces or outputs from an urban transportation model) combined with established parameters that reflect the energy intensity and cost of various travel modes, and relative frequency of activity engagement. The construction of the MEP metric allows for aggregation and disaggregation to the appropriate spatial, modal, and trip purpose resolution, as analysis needs dictate. As a result, the MEP could be used to compare alternative futures related to technology, infrastructure investment, or policy, providing a much-needed tool for planners, researchers, and analysts.},
doi = {10.1177/0361198119848705},
journal = {Transportation Research Record},
issn = {0361-1981},
number = 10,
volume = 2673,
place = {United States},
year = {2019},
month = {5}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 1 work
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Accessibility evaluation of land-use and transport strategies: review and research directions
journal, June 2004


Relating Land Use and Human Intra-City Mobility
journal, October 2015


A Tale of Many Cities: Universal Patterns in Human Urban Mobility
journal, May 2012


Gravity model in the Korean highway
journal, January 2008


A universal model for mobility and migration patterns
journal, February 2012

  • Simini, Filippo; González, Marta C.; Maritan, Amos
  • Nature, Vol. 484, Issue 7392
  • DOI: 10.1038/nature10856

Quantifying Transport Energy Resilience: Active Mode Accessibility
journal, January 2011

  • Rendall, Stacy; Page, Shannon; Reitsma, Femke
  • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2242, Issue 1
  • DOI: 10.3141/2242-09

Scale-free human migration and the geography of social networks
journal, November 2010


Intervening Opportunities: A Theory Relating Mobility and Distance
journal, December 1940

  • Stouffer, Samuel A.
  • American Sociological Review, Vol. 5, Issue 6
  • DOI: 10.2307/2084520

Accessibility Analysis of Growth Patterns in Buenos Aires, Argentina: Density, Employment, and Spatial Form
journal, January 2015

  • Quirós, Tatiana Peralta; Mehndiratta, Shomik Raj
  • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2512, Issue 1
  • DOI: 10.3141/2512-12

The Structural Accessibility Layer (SAL): Revealing how Urban Structure Constrains Travel Choice
journal, November 2010

  • Silva, Cecilia; Pinho, Paulo
  • Environment and Planning A: Economy and Space, Vol. 42, Issue 11
  • DOI: 10.1068/a42477

A note on the role of Distance in Migration: Costs of Mobility Versus Intervening Opportunities*
journal, December 1972


The Laws of Migration
journal, June 1885

  • Ravenstein, E. G.
  • Journal of the Statistical Society of London, Vol. 48, Issue 2
  • DOI: 10.2307/2979181

Estimating the effect of urban density on fuel demand
journal, January 2010


Intermetropolitan Migration in High and Low Opportunity Areas: Indirect Tests of the Distance and Intervening Opportunities Hypotheses
journal, January 1973

  • Haynes, Kingsley E.; Poston, Dudley L.; Schnirring, Paul
  • Economic Geography, Vol. 49, Issue 1
  • DOI: 10.2307/142746

Spatial Distribution of Opportunities and Magnitude of Migration: An Investigation of Stouffer's Theory
journal, October 1985

  • Freymeyer, Robert H.; Ritchey, P. Neal
  • Sociological Perspectives, Vol. 28, Issue 4
  • DOI: 10.2307/1389227

Urban Trip Distribution in Practice. I: Conventional Analysis
journal, November 1993


Incorporating transport energy into urban planning
journal, July 2008

  • Saunders, Michael J.; Kuhnimhof, Tobias; Chlond, Bastian
  • Transportation Research Part A: Policy and Practice, Vol. 42, Issue 6
  • DOI: 10.1016/j.tra.2008.01.031

Accessibility, Attraction, and Potential: A Review of Some Concepts and Their Use in Determining Mobility
journal, December 1974

  • Vickerman, R. W.
  • Environment and Planning A: Economy and Space, Vol. 6, Issue 6
  • DOI: 10.1068/a060675

Urban gravity: a model for inter-city telecommunication flows
journal, July 2009

  • Krings, Gautier; Calabrese, Francesco; Ratti, Carlo
  • Journal of Statistical Mechanics: Theory and Experiment, Vol. 2009, Issue 07
  • DOI: 10.1088/1742-5468/2009/07/L07003

Stouffer's Model of Migration: A Comparison of Interstate and Metropolitan Flows
journal, February 1975


Moving from trip-based to activity-based measures of accessibility
journal, February 2006

  • Dong, Xiaojing; Ben-Akiva, Moshe E.; Bowman, John L.
  • Transportation Research Part A: Policy and Practice, Vol. 40, Issue 2
  • DOI: 10.1016/j.tra.2005.05.002

Influence of Accessibility, Land Use and Transport Policies on the Transport Energy Dependence of a City
journal, January 2017