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Research on Structural Toughness of Railway City Network in Yellow River Basin and Case Study of Zhengzhou 7–20 Rainstorm Disaster.
- Source :
- Sustainability (2071-1050); Oct2022, Vol. 14 Issue 19, p12515-12515, 17p
- Publication Year :
- 2022
-
Abstract
- With the gradual networking of inter-city relations and the increase in acute impact and chronic stress, the measurement of the resilience of urban network structures is particularly prominent. Based on the construction of the urban network by passenger train trips in the Yellow River Basin, this paper analyzes and assesses the characteristics of the structural resilience of the urban network, and probes into the network resilience and urban response under the circumstances of node failure and line failure in Zhengzhou. The main conclusions are as follows: (1) The urban network in the Yellow River Basin was clearly hierarchical, with a significant spatial distribution of "low in the north and high in the south", and the overall characteristics of "robustness" in small areas and "fragility" in large areas. The network connection forms were diversified and open. The network transmission efficiency was high, and the edge cities depended on the core cities with prominent characteristics, and the risk load of regional core cities rose. (2) The network structure was "robust" as it maintained high operational efficiency and connectivity under random attacks. Under deliberate attacks, the city network operated efficiently with a small increase in connectivity before the 60% threshold, and after the threshold, the overall network started to split into many sub-networks, and the network fragmentation gradually increased until the network collapsed. (3) Zhengzhou node failure and line failure states in the Yellow River Basin urban network were resilient, in the sense that when suffering important nodes and lines going down it could still maintain good network operation efficiency, and the core nodes in the impact of natural disasters could adapt to the destructive nature of the network through the urban network structure self-regulation. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20711050
- Volume :
- 14
- Issue :
- 19
- Database :
- Complementary Index
- Journal :
- Sustainability (2071-1050)
- Publication Type :
- Academic Journal
- Accession number :
- 159701416
- Full Text :
- https://doi.org/10.3390/su141912515