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Network performance measure and importance identification: A case study of private car in Zhengzhou city

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  • Wang, Chenlan
  • Wang, Nachuan
  • Zhang, Xiaotian

Abstract

This study develops the existing measurements on the basis of the EC framework to measure the OD-level and citywide travel efficiency, and proposes a new importance index to further identify the vital OD pairs for network improvement. We conduct both OD-level and citywide efficiency assessments with the private car data in Zhengzhou, China, with different cost units of travel time, travel distance and the integrated unit of PSWE, respectively. Spatial distributions of the most efficient and inefficient OD pairs are illustrated with maps. We also quantify the importance level of each OD pair in the city, and identify the vital OD pairs which encumber the system. It is found that long-distance trips tend to be more efficient, while inefficient trips often happen within the third-ring road of Zhengzhou City. Furthermore, detailed analysis on the vital inefficient OD pairs is also provided, referring to the land use planning of Zhengzhou city.

Suggested Citation

  • Wang, Chenlan & Wang, Nachuan & Zhang, Xiaotian, 2021. "Network performance measure and importance identification: A case study of private car in Zhengzhou city," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    • Handle: RePEc:eee:phsmap:v:574:y:2021:i:c:s0378437121002314
    DOI: 10.1016/j.physa.2021.125959
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    References listed on IDEAS

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    1. Chassin, David P. & Posse, Christian, 2005. "Evaluating North American electric grid reliability using the Barabási–Albert network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(2), pages 667-677.
    2. White, Michelle J, 1988. "Urban Commuting Journeys Are Not "Wasteful."," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 1097-1110, October.
    3. Yang, Yuanzhi & Yu, Lei & Wang, Xing & Zhou, Zhongliang & Chen, You & Kou, Tian, 2019. "A novel method to evaluate node importance in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    4. White, M.J., 1988. "Urban Commuting Journeys Are Not Wasteful," Papers 88-10, Michigan - Center for Research on Economic & Social Theory.
    5. Zhai, Wei & Bai, Xueyin & Peng, Zhong-ren & Gu, Chaolin, 2019. "A bottom-up transportation network efficiency measuring approach: A case study of taxi efficiency in New York City," Journal of Transport Geography, Elsevier, vol. 80(C).
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