Robustness response of the Zurich road network under different disruption processes

Casali, Ylenia; Heinimann, Hans Rudolf

doi:10.1016/j.compenvurbsys.2020.101460

Cited by 14 publications

(6 citation statements)

References 21 publications

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“…For this purpose, there are two performance metrics reported in (Serdar and Al-Ghamdi, 2021b) and adopted in this study; these metrics are total network betweenness centrality (C B ) and average critical-trips duration (T); similar two metrics were adopted in the work of (Kermanshah et al, 2014;Kermanshah and Derrible, 2017). Network betweenness is a one of the complex networks features and it helps identifying bottlenecks and critical nodes and links, also it reflects network's cohesion (Pregnolato et al, 2016;Casali and Heinimann, 2020). Changes in a network, including due to a disturbance, modify the relationship between its components, which is reflected in C B as it scans all pairs of nodes, thus C B can be used to detect the change in networks cohesion and performance (Liu and Song, 2020).…”

Section: Identifying Flooding As the Critical Disturbance During The ...mentioning

confidence: 99%

Resilience-oriented recovery of flooded road networks during mega-sport events: a novel framework

Serdar

Al‐Ghamdi

2023

Front. Built Environ.

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This research presents a novel framework that employs the resilience index and metrics, building on previous studies, to conduct a sequential evaluation of flooded road network performance at each timestep throughout the recovery stage. Subsequently, the mathematical integration of the performance-time diagram produces the Recovery Resilience Index (RRI) used to evaluate any recovery strategy/sequence. Furthermore, a sensitivity analysis ensures the consistency of the results. As a case study, this research evaluated three post-flood interventions: Flood-susceptibility-based; Centrality-based; and Critical-links-first recovery strategies, within the context of the FIFA World Cup in Qatar, 2018. The results showed that the best strategy to be dealing with the critical-links-first and flood-susceptibility strategy to be the worst. The suggested framework will expand the options for recovery planning and resource allocation. Also, it will provide the policymakers with a recommendation to improve the recovery process during FIFA World Cup in Qatar, 2018 and any future mega event.

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Section: Identifying Flooding As the Critical Disturbance During The ...mentioning

confidence: 99%

Resilience-oriented recovery of flooded road networks during mega-sport events: a novel framework

Serdar

Al‐Ghamdi

2023

Front. Built Environ.

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“…CN centrality properties include degree, closeness, and betweenness; however, we focused on using betweenness as a performance indicator. Betweenness measures the node's role in connecting other nodes in the network [63]. More accurately, it calculates the fraction of shortest paths passing through the node and connecting pairs of other nodes, or, mathematically [64]:…”

Section: Multilevel Resiliency Assessmentmentioning

confidence: 99%

“…Based on this definition, betweenness reflects the importance of specific nodes as bottlenecks in the network and the network's cohesion [63,65]. Furthermore, betweenness allows for the detection of changes throughout the network since it considers any random pair of nodes.…”

Section: Multilevel Resiliency Assessmentmentioning

confidence: 99%

Resiliency Assessment of Road Networks during Mega Sport Events: The Case of FIFA World Cup Qatar 2022

Serdar

Al-Ghamdi

2021

Sustainability

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Hosting Mega Sport Events (MSEs) is a formidable expedition that requires enormous investments and that has the potential to reform the nation’s future and create a lasting legacy. However, the increase in environmental concerns is pushing host cities to adopt a compact event approach. Compactness increases the concentration of the load on host cities’ infrastructures, which have to preserve an acceptable level of functionality under any possible disturbance; in other words, they should be resilient. Among these infrastructures, the road network plays the most prominent role in the fans’ experiences and the event’s success. To assess its resilience during MSE, we proposed a multilevel assessment approach that focuses on the network cohesion and critical trips performance under several disturbance scenarios, including natural hazards, intentional attacks, and accidents. The framework was applied to the Doha road network, since Doha will be a host city for the FIFA World Cup in Qatar in 2022, which exhibited a high level of resilience to intentional attacks and accidents scenarios. However, during the natural hazard scenario (flooding), the network experienced severe fragmentation, signaling weak resilience and highlighting the need to improve storm management plans. Future research could investigate the use of weighted graphs to increase the accuracy or incorporate different assessment approaches into the framework.

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“…Some researchers focus on topological growth to understand how transportation networks evolve through observing the changes in connectivity indices, such as alpha, beta, gamma, and centrality metrics (Casali and Heinimann 2019;Cats 2017;Strano et al 2012), while others focus on the efficiency of transport networks (Brussel et al 2019). Specifically, transport systems benefit from the graph theory-driven approach for quantitatively analyzing road network characteristics (Barthélemy 2011), robustness (Casali and Heinimann 2020;He et al 2021), and identifying communities and groups (Viljoen and Joubert 2019).…”

Section: Introductionmentioning

confidence: 99%

Assessing the evolution of educational accessibility with self-avoiding random walk: insights from Helsinki

Aydin,

Yigitbasi,

Casali

et al. 2023

Appl Netw Sci

Self Cite

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Rapid urbanization has posed challenges to accessibility to critical services that require in-depth analysis. Complex networks theory has been used to evaluate the evolution of network topologies or the overall accessibility of transportation systems. However, topological metrics to explain the temporal changes in accessibility levels do not fully capture the dynamics and implications of accessibility to specific critical services. In this study, we address this gap and investigate the opportunities of using a self-avoiding random walk (SARW) algorithm to evaluate and explain the evolution of spatial accessibility to education facilities. We used hotspot analysis to understand the temporal changes and investigated changes in hot and cold spots over time. Furthermore, we explored the relationship between the network indicators and the SARW-based accessibility metric. We illustrated this method in a case study from Helsinki, where large-scale open data spanning from 1991 to 2016 is available. Our findings indicate that the SARW-based metric delivers more detailed node-level results than the traditional isochrone-based metric. The latter generates accessibility zones where accessibility is assumed to be uniform, while the SARW metric captures the dynamic nature of educational facility accessibility more accurately. The developed methodology helps to identify the impacts on the historical development of accessibility and can be applied to investigate accessibility to other critical services.

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Robustness response of the Zurich road network under different disruption processes

Cited by 14 publications

References 21 publications

Resilience-oriented recovery of flooded road networks during mega-sport events: a novel framework

Resilience-oriented recovery of flooded road networks during mega-sport events: a novel framework

Resiliency Assessment of Road Networks during Mega Sport Events: The Case of FIFA World Cup Qatar 2022

Assessing the evolution of educational accessibility with self-avoiding random walk: insights from Helsinki

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