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Detrended cross-correlation analysis of urban traffic congestion and NO 2 concentrations in Chengdu

  • Published:2018-06 Issue: Volume:61 Page:165-173
  • 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:

Shi Kai,Di Baofeng,Zhang Kaishan,Feng Chaoyang,Svirchev Laurence

Funder

Natural Science Foundation of China

Ministry of Environmental Protection of PRC

International Science & Technology Cooperation Program

Scientific Research Fund of Hunan Provincial Education Department

Publisher

Elsevier BV

Subject

General Environmental Science,Transportation,Civil and Structural Engineering

Reference40 articles.

1. Estimating vehicle fuel consumption and emissions based on instantaneous speed and acceleration level;Ahn;J. Transp. Eng.,2002

2. Spatio-temporal clustering for non-recurrent traffic congestion detection on urban road networks;Anbaroglu;Transport. Res. Part C Emer.,2014

3. Effects of traffic on NO2 and PM10 emissions in Novi Sad;Basarić;Pol. J. Environ. Stud.,2014

4. Chengdu Traffic Management Bureau (CTMB), 2015. Statistics of Vehicle Population of Chengdu in 2015.

5. Comparison of a road traffic emission model (HBEFA) with emissions derived from measurements in the Gubrist road tunnel, Switzerland;Colberga;Atmos. Environ.,2005
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