Improving Resiliency of Water Supply System in Arid Regions: Integrating Centrality and Hydraulic Vulnerability

Mortula, Maruf; Ahmed, Ashraf Uddin; Sadri, Arif Mohaimin; Ali, Tarig; Ahmad, Irtishad; Idris, AlaEldin

doi:10.1061/(asce)me.1943-5479.0000817

Cited by 23 publications

(4 citation statements)

References 45 publications

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“…In recent years, with the successful introduction of shared mobility service in Europe thanks to advancements in telecommunication systems, many related studies have been carried out from different perspectives such as infrastructure planning for car-sharing and bicycle-sharing services [10,11], estimation of benefits and impacts [12][13][14][15][16], social norms [17][18][19], infrastructure resiliency and influence of social networks [20][21][22], and user demand and characteristics analysis [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Survey Data Analysis on Intention to Use Shared Mobility Services

Kim

Lee

2021

Journal of Advanced Transportation

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Shared mobility is a service that allows users to share various transportation modes and use them with reservations when necessary. It started with private automotive car-sharing and ride-sharing services. Currently, it operates on a wider range, including personal mobility devices such as electric bicycles and scooters. The purpose of this study is to derive a direction for providing future shared mobility services through analysis of factors affecting the usage intention of both current and prospective users. The survey targets 753 citizens living in Gyeonggi Province, Korea. The survey period is from February 12, 2020, to February 26, 2020. In this study, a logistic regression analysis is conducted to investigate the factors affecting the use intention of shared mobility. The analysis results show that gender, car ownership, and education, among variables reflecting socio-demographic characteristics, have significant effects on intention to use shared mobility. Moreover, we find that experience factors, including mainly used transportation modes, ownership of shared mobility device, past experience in similar services, satisfaction of existing shared mobility services, and distance from the home to the nearest bus stop, are also statistically influential. The analysis results are expected to lay the foundation for the introduction of shared mobility services and can be used as data for planning smart mobility services in the future.

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Section: Introductionmentioning

confidence: 99%

Survey Data Analysis on Intention to Use Shared Mobility Services

Kim

Lee

2021

Journal of Advanced Transportation

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“…For G m , the locations are close to that of G 1 and G 2 (“Eufaula St” and “Main St”) and this seems rational since nodes with higher BC values in individual networks are located nearby. In general, BC is an important shortest path based metric used for network traffic pattern analysis ( 63 ) and water distribution system analysis ( 64 ), and the same metric makes an important contribution to multilayer network analysis ( 64 ).…”

Section: Methods and Resultsmentioning

confidence: 99%

Exploring the Interdependencies Between Transportation and Stormwater Networks: The Case of Norman, Oklahoma

Kays,

Sadri,

Muraleetharan

et al. 2023

Transportation Research Record: Journal of the Transportation R

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The significance of critical infrastructure systems in maintaining productivity is undeniable. However, such systems remain susceptible to external disturbances and cascading failures. Instead of operating independently, these physical systems, such as transportation and stormwater systems, form an interdependent system. This interdependence, particularly important during flooding, illustrates that the failure of a stormwater system can disrupt traffic networks. To explore the extent of such interdependency, this study investigates the transportation and stormwater networks in Norman, Oklahoma. Using network science theories and concepts of multilayered networks, this paper analyzes these systems, both individually and in combination. The study identifies closely located components in the road and stormwater networks using Moran's I spatial autocorrelation metric. Next, the connectivity of these networks is represented in a graph format to investigate the topological credentials (i.e., rank of relative importance) of the network components (i.e., water inlets, road intersections as nodes, and stormwater conduits, road segments as links). Moreover, such credentials further change by considering the weights of the network components (i.e., average daily traffic, water flow). The proximity-based connectivity considerations between these networks utilizing Moran's I significance score revealed a good indicator of spatial interdependency. When incorporating directionality, the multilayer network analysis highlights that highly central components tend to cluster spatially, unlike the undirected counterpart. The study also identifies vulnerable locations and network components in a combined network setting that differ from the networks in isolation. In doing so, the research reveals new insights governing the complex reliance of transportation systems on neighboring stormwater systems.

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“…More recently, a methodology for calculating an index of vulnerability that represents the tendency of an injected contaminant to spread over the network was introduced, this index compares the behavior of the network to a scale-free network and allows to rank different networks in terms of their resistance to contamination (Nicolini 2020). Mortula et al conducted an integrated network and hydraulic analysis for identifying critical nodes that can be impacted by water shortages and proposing managerial action to reduce network vulnerability, diversify water sources, and reduce possibilities of contamination (Mortula et al 2020). The adjacency matrix from the WDS network has been employed to detect unintended isolation segments that can cause vulnerability, helping to determine the best location of valves for avoiding the interruption of the service for pipe failures ( Jeong et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the vulnerability in water distribution systems through targeted attacks

J.Albarakati

Tassaddiq

Kale

2021

Journal of Water Supply: Research and Technology-Aqua

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This paper presents the results of a vulnerability analysis in different water distribution system (WDS) benchmarks, performed under a framework based on a graph model that integrates topological features and hydraulic characteristics, allowing the comparison between different attack strategies and centrality measures in terms of their ability to predict the shortage of water supply. This vulnerability framework has been previously applied to electric power systems and it employs a vulnerability prediction measure to quantify the amount of damage caused in terms of the physical damage measure. Different attack strategies and centrality measures were applied to four WDS benchmarks: the New York Tunnel, the Hanoi, the Modena, and the Balerma networks. It was determined that removing the most central element and recalculating the centrality for each stage are the most damaging attack strategy. Degree, eigenvector, and Katz centrality measures presented the best performance to predict the elements that are more relevant to the network and can cause a larger impact on the water supply. It was demonstrated that the vulnerability framework can be applied to the WDS in the same way it was previously applied to electric power systems. Future work will be oriented to the design of the WDS using optimization techniques to minimize the vulnerability of the network under faults that can be generated by droughts and other extreme weather conditions.

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Improving Resiliency of Water Supply System in Arid Regions: Integrating Centrality and Hydraulic Vulnerability

Cited by 23 publications

References 45 publications

Survey Data Analysis on Intention to Use Shared Mobility Services

Survey Data Analysis on Intention to Use Shared Mobility Services

Exploring the Interdependencies Between Transportation and Stormwater Networks: The Case of Norman, Oklahoma

Evaluation of the vulnerability in water distribution systems through targeted attacks

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