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...
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 |
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Other Authors: | Massachusetts Institute of Technology. Department of Urban Studies and Planning |
Format: | Article |
Published: |
Elsevier BV
2018
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Online Access: | 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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