Lead presenter: Stanley Young, National Renewable Energy Laboratory
Biography:
Dr. Young is the lead for Advanced Transportation and Urban Science at the National Renewable Energy Laboratory Transportation & Hydrogen System Center in Golden, Colorado. He currently serves as the DOE technologist in city for the Columbus Smart City program, as well as the Urban Science pillar lead for the SMART Mobility initiative. From 2006 through 2015 while on staff at the University of Maryland’s Center for Advanced Transportation Technology, he was the technical architect of the Vehicle Probe Project, a multi-state traffic monitoring system based on outsourced probe data which enabling a multi-state traffic data system based wholly on vehicle’s self-reported position and speed. He co-developed and patented a Bluetooth re-identification sensor, and co-founded Traffax Inc. to accelerate the commercialization of the technology. Previous appointments include the Kansas Department of Transportation from 1994-06, the Johns Hopkins Applied Physics Lab 1994-96, and volunteer with the United States Peace Corps in Cameroon, West Africa.
Visualizing the Quality of Mobility in your City using the Mobility Energy Productivity metric
Description
Abstract:
The Mobility Energy Productivity metric is a new paradigm for evaluating mobility options within an urban area. First developed for the U.S. Department of Energy’s Energy Efficient Mobility System research program, this metric is, at its heart, an accessibility measure that is appropriately weighted with respect travel time, cost, and energy of modes that provide access to opportunities in any given location. The proposed metric is versatile in that it can be computed from readily available data sources or derived from outputs of regional travel demand models. Being a spatially based metric, computed at the square kilometer area in initial work, the MEP metric can be used to visualize the impacts of new mobility technologies (transportation network companies, electric scooters), business models (car shares and bike shares), infrastructure investments (road capacity enhancements or major transit) and land-use practices (such as transit-oriented development) on the city in terms of accessibility, equity, and energy. The modular nature allows visualization specific to mode (vehicle, TNC, walk, bike, transit, etc), and trip purpose (work, recreation, shopping, and health), and can even be used to locate and characterize mobility desserts associated with specific goods or services.