A Systematic Literature Review on Urban Resilience Enabled with Asset and Disaster Risk Management Approaches and GIS-Based Decision Support Tools

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(4), P. 2223 - 2223

Published: Feb. 9, 2023

Urban Resilience (UR) enables cities and communities to optimally withstand disruptions recover their pre-disruption state. There is an increasing number of interdisciplinary studies focusing on conceptual frameworks and/or tools seeking enable more efficient decision-making processes that lead higher levels UR. This paper presents a systematic review 68 Scopus-indexed journal papers published between 2011 2022 focus The covered in this study fit three categories: literature reviews, models, analytical models. results the show major areas discussion UR publications include climate change, disaster risk assessment management, Geographic Information Systems (GIS), urban transportation infrastructure, decision making community resilience, green infrastructure sustainable development. main research gaps identified include: lack common resilience definition multidisciplinary analysis, need for unified scalable adoptable model, margin increased application GIS-based multidimensional tools, stochastic analysis virtual cities, scenario simulations support processes. undertaken suggests these can be addressed with aid asset management methods combined towards significantly improving

Language: Английский

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Machine learning and Natural Language Processing of social media data for event detection in smart cities

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 85, P. 104026 - 104026

Published: July 2, 2022

Social media data analysis in a smart city context can represent an efficacious instrument to inform decision making. The manuscript strives leverage the power of Natural Language Processing (NLP) techniques applied Twitter messages using supervised learning achieve real-time automated event detection cities. A semantic-based taxonomy risks is devised discover and analyse associated events from streams, with view to: (i) read process, real-time, published texts (ii) classify each text into one representative real-world category (iii) assign citizen satisfaction value event. To select language processing models striking best balance between accuracy speed, we conducted pre-emptive evaluation, comparing several baseline formerly employed by researchers for classification. heuristic cities community initiatives was conducted, define scenarios as basis determining correlations two or more co-occurring types their levels satisfaction, while further considering environmental factors. Based on Multiple Regression Analysis (MRA), established relationships scenario variables, obtaining variance 60%–90% dependent independent variables. selected combination NLP leverages 88.5%. We found that all regression had at least variable below 0.05 threshold f−test, therefore statistically significant variable. These findings ultimately illustrate how citizens, taking role active social sensors, yield vital authorities use make educated decisions sustainably construct smarter

Language: Английский

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Understanding cascading risks through real-world interdependent urban infrastructure

Reliability Engineering & System Safety, Journal Year: 2023, Volume and Issue: 241, P. 109653 - 109653

Published: Sept. 19, 2023

The prevalence of cascading failures is growing as infrastructure becomes more interdependent and climate change exacerbates extreme hazards. After such events, the general focus on magnitude direct damage or loss; it less understood how events trigger throughout other infrastructure. In this work, we present a methodology to model indirect impacts from an event for multi-system network, including interconnected end users. We perform case study New Zealand's second largest city, Christchurch, investigating electricity, water supply, wastewater networks following range coastal flooding scenarios. For 10-year average recurrence interval given no sea-level rise, there 216% increase directly impacted users total number that have lost at least one utility. same scenario, metric 71%, 129%, 131% who water, wastewater, respectively. results show larger estimate impact residents geospatially-varied loss service. This provides insight utility operators, emergency response, communities node criticality, areas impact, resource requirements after occurs.

Language: Английский

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Balancing the costs and benefits of resilience-based decision making

Decision Support Systems, Journal Year: 2025, Volume and Issue: unknown, P. 114425 - 114425

Published: Feb. 1, 2025

Language: Английский

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Resilience analysis in road traffic systems to rainfall events: Road environment perspective

Transportation Research Part D Transport and Environment, Journal Year: 2023, Volume and Issue: 126, P. 104000 - 104000

Published: Dec. 6, 2023

Language: Английский

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Machine learning applications in the resilience of interdependent critical infrastructure systems—A systematic literature review

International Journal of Critical Infrastructure Protection, Journal Year: 2023, Volume and Issue: 44, P. 100646 - 100646

Published: Dec. 4, 2023

Language: Английский

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Resilience in Infrastructure Systems: A Comprehensive Review

Buildings, Journal Year: 2022, Volume and Issue: 12(6), P. 759 - 759

Published: June 2, 2022

When encountering crisis events, systems, organizations, and people must react handle these unpredictable events. Under circumstances, important social functions infrastructures be restored or adapted as quickly possible. This capacity refers to resilience. Although considerable research has been conducted on the resilience of infrastructure systems over past years, a critical review studies remains lacking. Therefore, this study aims bridge knowledge gap by presenting comprehensive in decade, namely, from 2011 2021. On basis systematic search, identified 222 journal articles investigating A papers revealed five streams area (IR), assessment resilience, improvement conceptualizing various perspectives, factors influencing prediction also presented some directions that future can pursue. These include analyzing based simulation, assessing green infrastructure, improving interdependent predicting empirical research.

Language: Английский

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Conceptualising multiple hazards and cascading effects on critical infrastructures

Disasters, Journal Year: 2023, Volume and Issue: 48(1)

Published: May 18, 2023

Despite increased research on ‘multiple hazards’ and ‘cascading effects’, ambiguity remains concerning terminology. This paper reviews the literature to explore how these two concepts are defined in relation critical infrastructures their vital societal functions. Next, it investigates operationalised Swedish disaster risk management. Findings indicate that regardless of a wealth methodologies assessing multiple hazards cascading effects, rarely used by local planners, suggesting gap between scientific approaches practical implementation. Research mainly captures effects through technical parameters related severity hazard or direct physical impacts infrastructure. Less focus has been placed wider knock‐on across sectors translate into risk. Future should move beyond traditional understandings social vulnerabilities as only pre‐existing, analyse infrastructure services can put new groups at

Language: Английский

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Constructing a social vulnerability index for flooding: insights from a municipality in Sweden

Frontiers in Climate, Journal Year: 2023, Volume and Issue: 5

Published: May 18, 2023

Floods disproportionately affect disadvantaged groups. Social vulnerability assessments are the first step in designing just and equitable flood risk reduction strategies. In Sweden, earlier social indices apply top-down approaches. this paper, we develop a combined bottom-up approach to assess flooding at sub-municipal level Sweden. We tested an indicator-based climate framework, more specifically impact chain method suggested by Vulnerability Sourcebook. involved stakeholders using various participatory methods three workshops, interviews, informal exchanges identify variables indicators for vulnerability. The Indicators were aggregated into composite index exploratory factor analysis. thereafter mapped scores uncover spatial injustices. found that proposed captures municipal nuances better than national-level Our findings indicate uneven distribution of mimics overall patterns income segregation municipality. Many areas score low endure high exposure floods. can support municipalities interventions toward serving as input policymaking, investment strategies, civil protection.

Language: Английский

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Assessment and Optimization of System Resilience: A Critical Review

Studies in big data, Journal Year: 2025, Volume and Issue: unknown, P. 251 - 260

Published: Jan. 1, 2025

Language: Английский

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