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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. 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 Laboratory (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
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Journal Name:
Transportation Research Record
Additional Journal Information:
Journal Name: Transportation Research Record
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, Thomas. 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, Thomas. 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, Thomas. Tue . "Novel and Practical Method to Quantify the Quality of Mobility: Mobility Energy Productivity Metric". United States. doi:10.1177/0361198119848705.
@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, Thomas},
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. 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},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {5}
}