Table of Contents Author Guidelines Submit a Manuscript
Discrete Dynamics in Nature and Society
Volume 2018, Article ID 2512350, 18 pages
https://doi.org/10.1155/2018/2512350
Research Article

A Dynamic Analysis of a Motor Vehicle Pollutant Emission Reduction Management Model Based on the SD-GM Approach

College of Information and Management Science, Henan Agricultural University, Zhengzhou 450002, China

Correspondence should be addressed to Shuwei Jia; moc.361@666999aijiewuhs

Received 6 November 2017; Revised 29 June 2018; Accepted 12 July 2018; Published 1 August 2018

Academic Editor: Rodica Luca

Copyright © 2018 Shuwei Jia. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. X. Liu, S. Ma, J. Tian, N. Jia, and G. Li, “A system dynamics approach to scenario analysis for urban passenger transport energy consumption and CO2 emissions: A case study of Beijing,” Energy Policy, vol. 85, pp. 253–270, 2015. View at Publisher · View at Google Scholar · View at Scopus
  2. B. Xu, L. Luo, and B. Lin, “A dynamic analysis of air pollution emissions in China: Evidence from nonparametric additive regression models,” Ecological Indicators, vol. 63, pp. 346–358, 2016. View at Publisher · View at Google Scholar · View at Scopus
  3. S. Leinert, H. Daly, B. Hyde, and B. Ó. Gallachóir, “Co-benefits? Not always: Quantifying the negative effect of a CO2-reducing car taxation policy on NOx emissions,” Energy Policy, vol. 63, pp. 1151–1159, 2013. View at Publisher · View at Google Scholar · View at Scopus
  4. Z. Cheng, L. Li, and J. Liu, “Identifying the spatial effects and driving factors of urban PM2.5 pollution in China,” Ecological Indicators, vol. 82, pp. 61–75, 2017. View at Publisher · View at Google Scholar · View at Scopus
  5. N. Kaida and K. Kaida, “Spillover effect of congestion charging on pro-environmental behavior,” Environment, Development and Sustainability, vol. 17, no. 3, pp. 409–421, 2015. View at Publisher · View at Google Scholar · View at Scopus
  6. R. Peñabaena-Niebles, V. Cantillo, and J. L. Moura, “Impact of transition between signal timing plans in social cost based in delay, fuel consumption and air emissions,” Transportation Research Part D: Transport and Environment, vol. 41, pp. 445–456, 2015. View at Publisher · View at Google Scholar · View at Scopus
  7. D. Ding and B. Shuai, “A traffic restriction scheme for enhancing carpooling,” Discrete Dynamics in Nature and Society, Article ID 9626938, 9 pages, 2017. View at Publisher · View at Google Scholar · View at MathSciNet
  8. D. Kong, X. Guo, B. Yang, and D. Wu, “Analyzing the Impact of Trucks on Traffic Flow Based on an Improved Cellular Automaton Model,” Discrete Dynamics in Nature and Society, vol. 2016, pp. 1–14, 2016. View at Publisher · View at Google Scholar
  9. S. Cakmak, C. Hebbern, J. D. Cakmak, and J. Vanos, “The modifying effect of socioeconomic status on the relationship between traffic, air pollution and respiratory health in elementary schoolchildren,” Journal of Environmental Management, vol. 177, pp. 1–8, 2016. View at Publisher · View at Google Scholar · View at Scopus
  10. L. Song, H. Song, J. Lin et al., “PM2.5 emissions from different types of heavy-duty truck: a case study and meta-analysis of the Beijing-Tianjin-Hebei region,” Environmental Science and Pollution Research, vol. 24, no. 12, pp. 11206–11214, 2017. View at Publisher · View at Google Scholar · View at Scopus
  11. Z. Hu, S. Kang, C. Li et al., “Light absorption of biomass burning and vehicle emission-sourced carbonaceous aerosols of the Tibetan Plateau,” Environmental Science and Pollution Research, vol. 24, no. 18, pp. 15369–15378, 2017. View at Publisher · View at Google Scholar · View at Scopus
  12. X. Cen, H. K. Lo, and L. Li, “A framework for estimating traffic emissions: The development of Passenger Car Emission Unit,” Transportation Research Part D: Transport and Environment, vol. 44, pp. 78–92, 2016. View at Publisher · View at Google Scholar · View at Scopus
  13. S. Wang, X. Liu, C. Zhou, J. Hu, and J. Ou, “Examining the impacts of socioeconomic factors, urban form, and transportation networks on CO2 emissions in China’s megacities,” Applied Energy, vol. 185, pp. 189–200, 2017. View at Publisher · View at Google Scholar
  14. Q. Wang, K. Hubacek, K. Feng, Y.-M. Wei, and Q.-M. Liang, “Distributional effects of carbon taxation,” Applied Energy, vol. 184, pp. 1123–1131, 2016. View at Publisher · View at Google Scholar · View at Scopus
  15. C. Johansson, L. Burman, and B. Forsberg, “The effects of congestions tax on air quality and health,” Atmospheric Environment, vol. 43, no. 31, pp. 4843–4854, 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. A. Rakowska, K. C. Wong, T. Townsend et al., “Impact of traffic volume and composition on the air quality and pedestrian exposure in urban street canyon,” Atmospheric Environment, vol. 98, pp. 260–270, 2014. View at Publisher · View at Google Scholar · View at Scopus
  17. S. Batterman, R. Ganguly, and P. Harbin, “High resolution spatial and temporal mapping of traffic-related air pollutants,” International Journal of Environmental Research and Public Health, vol. 12, no. 4, pp. 3646–3666, 2015. View at Publisher · View at Google Scholar · View at Scopus
  18. J. Eliasson, M. Börjesson, D. van Amelsfort, K. Brundell-Freij, and L. Engelson, “Accuracy of congestion pricing forecasts,” Transportation Research Part A: Policy and Practice, vol. 52, pp. 34–46, 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. J. Eliasson, “The role of attitude structures, direct experience and reframing for the success of congestion pricing,” Transportation Research Part A: Policy and Practice, vol. 67, pp. 81–95, 2014. View at Publisher · View at Google Scholar · View at Scopus
  20. H. X. Yang, J. D. Li, H. Zhang, and S. Q. Liu, “Research on the governance of urban traffic jam based on system dynamics,” Systems Engineering Theory and Practice, vol. 34, no. 8, pp. 2135–2143, 2014 (Chinese). View at Google Scholar
  21. M. H. Zhu, Research on Socio-Economic Impact of Urban Traffic Congestion [PhD thesis] , Beijing Jiaotong University, 2013 (Chinese).
  22. B. Zeng, Research on Modeling Technologies of Grey Prediction [PhD thesis] , Nanjing University of Aeronautics and Astronautics, 2011 (Chinese).
  23. S. F. Liu, Y. J. Yang, and L. F. Wu, Grey System Theory and Application , Science Press, Beijing, China, 2017 (Chinese).
  24. S. W. Jia, K. Yang, J. J. Zhao, and G. L. Yan, “The traffic-congestion charging fee management model based on the system dynamics approach,” Mathematical Problems in Engineering, vol. 2017, Article ID 3024898, 13 pages, 2017. View at Publisher · View at Google Scholar