Robustness of city road networks at different granularities

Duan, Yingying; Lü, Feng

doi:10.1016/j.physa.2014.05.073

Cited by 106 publications

(68 citation statements)

References 27 publications

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“…Yang, Y.H. et al evaluated the robustness of rail transit in Beijing with complex network theory, and designed a method of weighting index of node importance, which can guide the site selection [16]. Cats, O performed the full-scan of network links, and analyzed the impacts of each disruption in terms of how the disruption influences the travel experience of population (cut-off, delayed, unaffected).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Some scholars consider the influence of adjacent nodes on the critical node importance and propose a shortest path number N e that also takes node neighbors in consideration. Besides, synthetic measures combining K i , B i , N e is put forward based on the weighted method [16] and AHP method [32]. Oriol Lordan summarized the existing research the effectiveness (measured in terms of reduction of the size of the giant component of has been compared) attacks based on five different measures: degree, betweenness, modal analysis, damage and Bonacich power [15].…”

Section: Critical Node Identificationmentioning

confidence: 99%

“…Due to the operability of vulnerability assessment, scholars have carried out extensive research on the vulnerability analysis of traffic networks. Based on the theory of vulnerability, scholars have studied the actual road network, public transportation network and rail transit network [7,[12][13][14][15][16][17]. In addition, simulations are applied to the actual road network, route network and logistics network.…”

Section: Introductionmentioning

confidence: 99%

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Network Vulnerability Analysis of Rail Transit Plans in Beijng-Tianjin-Hebei Region Considering Connectivity Reliability

Liu

et al. 2017

Sustainability

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Abstract:In the context of the urban agglomeration and the rapid development of rail transit, the planning of the Beijing-Tianjin-Hebei Region (BTHR) rail transit 2020 is attracting attention. The BTHR is a natural disaster-prone area and a high-risk area for terrorist attacks; the robustness of the area is critical to the sustainable development of North China. Therefore, it is necessary to analyze the vulnerability of the regional planning rail transit network. This paper builds a model of planning regional rail transit in BTHR. A critical node recognition measure is designed according to the connectivity reliability of nodes. The method of Monte Carlo simulation of node connectivity reliability is applied based on link connectivity probability. In addition, a model of detecting multi-measure recognition and detecting Core-Nodes is proposed. Finally, the paper analyzes the impact of multiple attack modes on the network performance from the aspects of network performance within region and transit demand outside the region, and analyzes the vulnerability of the BTHR planning rail transit network.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Critical Node Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Network Vulnerability Analysis of Rail Transit Plans in Beijng-Tianjin-Hebei Region Considering Connectivity Reliability

Liu

et al. 2017

Sustainability

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“…Degree is defined as the number of connections of a given node [12,14]. A high degree demonstrates that the node connects to more nodes [11]. Boldi, Rosa and Vigna [14] reported that this strategy is a baseline as the degree is the first shot at centrality in a network.…”

Section: Node-removal Strategiesmentioning

confidence: 99%

“…We remove node in increasing betweenness order. The betweenness index is computed by identifying the shortest paths linking pairs of nodes and counting the number of times these paths cross each Freeman node [11,12]. Betweenness is a type of global factor [11,12].…”

Section: Node-removal Strategiesmentioning

confidence: 99%

A Spatial-Territorial Reorganization Model of Rural Settlements Based on Graph Theory and Genetic Optimization

et al. 2017

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Rural China has experienced rapid urbanization and industrialization, accompanied with rural-urban migration since 1978. This tremendous transition has caused a series of negative consequences, necessitating a spatial-territorial reorganization of rural settlements. Previous studies on the restructuring of rural settlements are insufficient for inter-settlement connection consideration and practical and dynamic decision-making techniques. To overcome these concerns, a dynamic spatial-territorial reorganization model (SRM) of rural settlement is proposed herein based on graph theory and genetic algorithm (GA). The model involves two parts. In Part 1, consolidated settlements are identified according to the socio-economic network performance under four types of attack. In Part 2, GA model is repeatedly executed to scientifically resettle consolidated settlements into nearby townships or central settlements with objectives of suitability, compactness, and local connectivity under the control of the constraints. This paper presents an application of SRM to Chengui Town, Hubei Province. Empirical results suggest that: (1) removing settlements in order of node degree is the least efficient way to destroy the entire functional system; and (2) the proposed model can yield satisfactory solutions in terms of spatial reorganization of settlements. The SRM may also serve as a valuable reference for planners in devising plans and making decisions.

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Assessing the Reliability of Street Networks: A Case Study Based on the Swiss Street Network

Baumann

Keupp

2020

International Series in Operations Research &Amp; Management Science

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Robustness of city road networks at different granularities

Cited by 106 publications

References 27 publications

Network Vulnerability Analysis of Rail Transit Plans in Beijng-Tianjin-Hebei Region Considering Connectivity Reliability

Network Vulnerability Analysis of Rail Transit Plans in Beijng-Tianjin-Hebei Region Considering Connectivity Reliability

A Spatial-Territorial Reorganization Model of Rural Settlements Based on Graph Theory and Genetic Optimization

Assessing the Reliability of Street Networks: A Case Study Based on the Swiss Street Network

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