Measuring Fundamental Improvements in Sustainable Urban Mobility
Recent technological advancements in mobility are creating many options for connecting citizens with employment, goods, and services, particularly in urban areas where modes such as bike and car shares, electric scooters, ridesourcing, and ridesharing are proliferating at a rapid pace. Analysis a...
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| Main Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
2020
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| Online Access: | http://dspace.uniten.edu.my/jspui/handle/123456789/14784 |
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| Summary: | Recent technological advancements in mobility are creating many options for
connecting citizens with employment, goods, and services, particularly in urban areas
where modes such as bike and car shares, electric scooters, ridesourcing, and
ridesharing are proliferating at a rapid pace. Analysis and tools for overall
transportation planning are dominated by urban regional travel demand models whose
roots in highway operations poorly reflect the system dynamics in denser areas where
parking costs, convenience, and availability—not to mention sustainability concerns
and quality of life—are driving people to an ever-greater spectrum of mobility services.
In this paper, we present 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 termed the Mobility-Energy
Productivity (MEP) metric. At its heart, the MEP metric measures accessibility and
appropriately weights it with 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. End times associated with parking, curb access, cost, and reliability
and frequency of service need to be carefully considered to obtain an appropriate and
accurate perspective when computing the metric. Ultimately, the MEP metric can be
used to reflect the impacts of new mobility technologies (transportation network
companies, electric scooters), business models (car shares and bike shares), and landuse practices (such as transit-oriented development) on sustainable urban mobility.
This paper lays out the need, requirements, and framework for this new metric, and
offers it, in collaboration with the American Society for Civil Engineers (ASCE), as a
foundational metric for Smart City assessment. |
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