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The Scientific World Journal
Volume 2013 (2013), Article ID 549735, 8 pages
http://dx.doi.org/10.1155/2013/549735
Research Article

Mixed Transportation Network Design under a Sustainable Development Perspective

1School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China
2Dongfang College, Zhejiang University of Finance and Economics, Hangzhou 310012, China

Received 10 November 2012; Accepted 17 January 2013

Academic Editors: B. Uy and J. S. Zhang

Copyright © 2013 Jin Qin et al. 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.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Jin Qin, Yuxin He, and Linglin Ni, “Quantitative Efficiency Evaluation Method for Transportation Networks,” Sustainability, vol. 6, no. 12, pp. 8364–8378, 2014. View at Publisher · View at Google Scholar
  • Cristina Torres-Machi, Alondra Chamorro, Carlos Videla, Eugenio Pellicer, and Victor Yepes, “An Iterative Approach for the Optimization of Pavement Maintenance Management at the Network Level,” Scientific World Journal, 2014. View at Publisher · View at Google Scholar
  • Mei Huan, and Xiao-bao Yang, “Waiting Endurance Time Estimation of Electric Two-Wheelers at Signalized Intersections,” The Scientific World Journal, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Lin-xue Zhang, Jin Qin, Yu-xin He, Yong Ye, and Ling-lin Ni, “Network-level optimization method for road network maintenance programming based on network efficiency,” Journal of Central South University, vol. 22, no. 12, pp. 4882–4889, 2015. View at Publisher · View at Google Scholar
  • Yuxin He, Jin Qin, and Jian Hong, “Comparative analysis of quantitative efficiency evaluation methods for transportation networks.,” PloS one, vol. 12, no. 4, 2017. View at Publisher · View at Google Scholar