TY - GEN
T1 - Urban Traveler - Changes and Impacts: Mobility Energy Productivity (MEP) Metric
AU - Garikapati, Venu
PY - 2019
Y1 - 2019
N2 - In response to the need to assess fundamental improvements in mobility as technology provides new modes, methods and opportunities in urban areas to connect people with goods, services and employment, a mobility-energy productivity (MEP) metric has been developed. The MEP metric fundamentally measures the potential of a multi-modal system to connect people to a variety of services and activities that define a high-quality of life. The MEP metric is measured relative to the cost, convenience and energy needed to provide connectivity. Fundamentally derived from accessibility theory, the MEP metric advances practice by using readily available travel time data (either from web-based APIs or outputs from an urban transportation model) combined with established parameters that reflect the cost, and energy intensity of various travel modes, along with 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 metric could be used to compare alternative futures related to technology, infrastructure investment, or policy, providing a much needed tool for planners, researchers, and analysts.
AB - In response to the need to assess fundamental improvements in mobility as technology provides new modes, methods and opportunities in urban areas to connect people with goods, services and employment, a mobility-energy productivity (MEP) metric has been developed. The MEP metric fundamentally measures the potential of a multi-modal system to connect people to a variety of services and activities that define a high-quality of life. The MEP metric is measured relative to the cost, convenience and energy needed to provide connectivity. Fundamentally derived from accessibility theory, the MEP metric advances practice by using readily available travel time data (either from web-based APIs or outputs from an urban transportation model) combined with established parameters that reflect the cost, and energy intensity of various travel modes, along with 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 metric could be used to compare alternative futures related to technology, infrastructure investment, or policy, providing a much needed tool for planners, researchers, and analysts.
KW - accessibility
KW - metrics
KW - mobility
KW - Mobility Energy Productivity, efficiency
KW - transportation systems
M3 - Presentation
T3 - Presented at the 2019 Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting, 10-13 June 2019, Arlington, Virginia
ER -