Predicting vehicular emissions in high spatial resolution using pervasively measured transportation data and microscopic emissions model

Predicting vehicular emissions in high spatial resolution using pervasively measured transportation data and microscopic emissions model

Air pollution related to traffic emissions pose an especially significant problem in cities; this is due to its adverse impact on human health and well-being. Previous studies which have aimed to quantify emissions from the transportation sector have been limited by either simulated or coarsely reso...

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Bibliographic Details
Main Authors: Sobolevsky, Stanislav, Kang, Chaogui, Corti, Andrea, Szell, Michael, Streets, David, Lu, Zifeng, Barrett, Steven R.H., Nyhan, Marguerite, Robinson, Prudence, Britter, Rex E, Ratti, Carlo
Other Authors: Massachusetts Institute of Technology. Department of Urban Studies and Planning
Format: Article
Published: Elsevier BV 2018
Online Access:http://hdl.handle.net/1721.1/118452
https://orcid.org/0000-0002-4292-8232
https://orcid.org/0000-0003-2026-5631

Internet

http://hdl.handle.net/1721.1/118452
https://orcid.org/0000-0002-4292-8232
https://orcid.org/0000-0003-2026-5631

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