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Title Mobility data and models informing Smart Cities / Joshua Sperling [and four others].

Publication Info. Golden, CO : National Renewable Energy Laboratory, 2019.

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Description 1 online resource (viii, 73 pages) : color illustrations.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series NREL/TP ; 5400-70734
NREL/TP ; 5400-70734.
Note "October 2019."
Bibliography Includes bibliographical references.
Type Of Report Technical report.
Funding Contract No. DE-AC36-08GO28308.
Note Description based on online resource; title from PDF title page (NREL, viewed on Sept. 8, 2020).
Contents Introduction -- Study methods. Interdisciplinary data and modeling workshops -- Mining of existing smart city literature and web resources -- Interviews with smart city finalists -- Results : smart cities finalists priorities, data, and model environments. Columbus : Smart City Challenge awardee -- Portland : Smart City Challenge finalist -- Pittsburgh : Smart City Challenge finalist -- San Francisco : Smart City Challenge finalist -- Austin : Smart City Challenge finalist -- Denver : Smart City Challenge finalist -- Kansas City : Smart City Challenge finalist -- Discussion : cross-city key findings and initial comparative city assessments. Energy and mobility goals, model capacities, and data-driven performance indicators by city -- Data infrastructure -- Modeling capacity -- Conclusions -- References -- Appendix. Smart city data and modeling templates. Model profile content -- Data profile content.
Summary Using emerging data platforms, new mobility technologies, and travel demand models (TDMs), researchers, industry, and communities seek to improve the quality of transportation while maximizing the energy efficiency, equity, and safety of transportation services. As transportation may soon reach over 30% of U.S. energy consumption and with urban areas representing an increasing proportion of the U.S. population (>80% since 2010), a critical need exists to engage in urban data science-informed approaches to enhancing mobility. The objective of this study is to explore and document how aspiring Smart Cities are using data and models to inform mobility and energy initiatives within Smart City programs and in so doing identify gaps in knowledge and processes guiding Smart City mobility investment strategies, programs, projects, and pilots. A primary focus of the Smart Cities studied was the creation of an integrated data sharing environment approach. Most of these systems are being developed in parallel with multiple new data analysis tools, while regional metropolitan planning organizations continue to slowly evolve TDMs to take into account impacts of long-term strategies for emerging mobility technologies and services. Smart City initiatives in the United States have keen interests in leveraging knowledge and research on the mobility benefits and risks of automated, connected, efficient/electric, and shared on-demand mobility services; and understanding the related energy, environmental, economic, and societal impacts of these shifts. The results serve to identify key gaps in data, knowledge, and methods required to advance energy efficient urban mobility innovation, and to enable research and analysis collaboration between Smart Cities and the U.S. Department of Energy's efforts enabling new Systems and Modeling for Accelerated Research in Transportation (SMART) Mobility.
Subject Smart cities -- United States.
Intelligent transportation systems -- United States.
Urban transportation -- United States.
City planning -- United States.
Villes intelligentes -- États-Unis.
Systèmes de transport intelligents -- États-Unis.
Transports urbains -- États-Unis.
City planning (OCoLC)fst00862177
Intelligent transportation systems (OCoLC)fst01723430
Smart cities (OCoLC)fst02002352
Urban transportation (OCoLC)fst01162609
United States (OCoLC)fst01204155 https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq
Indexed Term automated
connected
data and model curation
data visualization
electric
shared and digitally enhanced mobility
Smart City
urban infrastructure modernization
Genre/Form technical reports.
Technical reports (OCoLC)fst01941336
Technical reports.
Rapports techniques.
Added Author Sperling, Joshua, author.
National Renewable Energy Laboratory (U.S.), issuing body.
Standard No. 1571756 OSTI ID
0000-0003-0952-7717
0000-0002-3955-9608
0000-0003-1603-1883
0000-0002-6140-7352
Gpo Item No. 0430-P-03 (online)
Sudoc No. E 9.16:NREL/TP-5400-70734

 
    
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