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Quantifying and analyzing traffic emission reductions from ridesharing: A case study of Shanghai

  • Published:2020-12 Issue: Volume:89 Page:102629
  • ISSN:1361-9209
  • Container-title:Transportation Research Part D: Transport and Environment
  • language:en
  • Short-container-title:Transportation Research Part D: Transport and Environment

Author:

Yan Longxu,Luo Xiao,Zhu Rui,Santi Paolo,Wang Huizi,Wang De,Zhang Shangwu,Ratti Carlo

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Environmental Science,Transportation,Civil and Structural Engineering

Reference44 articles.

1. On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment;Alonso-Mora;Proc. Natl. Acad. Sci.,2017

2. An analysis of possible energy impacts of automated vehicle;Brown,2014

3. Environmental benefits of taxi ride sharing in Beijing;Cai;Energy,2019

4. City data dating: Emerging affinities between diverse urban datasets;Calegari;Inform. Syst.,2016

5. Estimating the environmental benefits of ride-sharing: A case study of Dublin;Caulfield;Transp. Res. Part D: Transp. Environ.,2009

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