Mobility Data and Models Informing Smart Cities [electronic resource]

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Tác giả:

Ngôn ngữ: eng

Ký hiệu phân loại: 641.3 Food

Thông tin xuất bản: Washington, D.C. : Oak Ridge, Tenn. : United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2019

Mô tả vật lý: Size: 2.5 MB : , digital, PDF file.

Bộ sưu tập: Metadata

ID: 256156

 This presentation explores the interactions of Emerging Technology, Changing Urban Environments, and Travel Behavior on Mobility and Energy Impacts. Key findings include: Identifying and quantifying impacts of emerging mobility behaviors associated with Mobility as a Service (MaaS) and other new mobility choices in urban areas
  The results demonstrate new methods to acquire data on quickly evolving MaaS in order to monitor rapidly shifting urban mobility patterns
  Under development is a first airport mode choice model for access/egress, curbs, and vehicles related to transportation network company (TNC) use versus traditional modes
  Initial estimates on the potential of employer-provided mobility on energy impacts. Key findings: for mode replacement, this presentation offers first observability into the changes in number of transactions per mode, after ride-hailing/TNC/MaaS introduction at airports: Seattle (SEA-TAC) airport: for every 100 new TNC transactions for ground transportation, ~ 27% replaced transit, 35% replaced parking, 17% replaced car rentals, and 21% replaced taxis
  Similarly, at Denver International (DEN), ride-hailing transactions replaced transit, parking, car rental and taxis at a rate of 34.7%, 39.0%, 16.6%, and 9.7%, respectively.
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