Table 3

Infrastructure resilience dimensions in humanitarian logistics

CategoryDimensionSupporting studiesDefinitionOccurrence stageCoded strategy
Structural and systematic featuresRobustness1, 2, 3, 5, 7, 9, 12, 13, 15, 20, 21, 23, 25, 31, 32, 33, 35, 37Resists or prevents damage through strength or designBefore disruptionStrength-based
Redundancy1, 2, 3, 5, 9, 11, 12, 13, 20, 21, 22, 23, 24, 25, 26, 30, 32, 33, 35, 37Substitutes or alternate failed components or pathways to maintain functionalityDuring and after disruptionSubstitution-based
Absorptive capacity4, 12, 13Buffers the impact using slack, reserves or protective systemsDuring disruptionBuffer-based
Connectivity7, 19, 24, 31, 40, 41Maintains or restores network-wide access and service continuityDuring and after disruptionContinuity-based
Flexibility4, 11, 12, 14, 15, 16, 24, 26, 30, 31, 32, 35Reconfigures system structure or operations to adapt to disruptionDuring and after disruptionAdaptation-based
System interdependency4, 5, 6, 7, 8, 9, 11, 15, 19, 23, 24, 25, 26, 28, 34, 37Manages cascading effects between interconnected infrastructure systemsBefore and during disruptionInterdependency-awareness
Operational and functional capabilitiesRapidity2, 3, 7, 12, 13, 20, 25, 31Restores critical infrastructure functions as quickly as possibleAfter disruptionTime-sensitive awareness
Recoverability1, 12, 23, 25, 31, 33, 35, 39Regains full infrastructure functionality over timeAfter disruptionRestoration-based
Restorative capacity4, 12, 13Enables repair using available time, labor and material resourcesAfter disruptionOperational capacity-based
Detection and responsiveness33, 40Identifies system failures and enables prompt corrective actionDuring disruptionAwareness and response
Monitoring and maintenance36Detects vulnerabilities early to prevent breakdownsBefore disruptionPreventive maintenance
Adaptive and management capacitiesResourcefulness1, 3, 12, 13, 19, 20, 25, 31, 35Mobilizes personnel, tools and resources effectively under stressDuring and after disruptionMobilization-based
Adaptive capacity4, 12, 13, 24, 29. 38Reorganizes operations or applies alternative strategies during crisesDuring and after disruptionDynamic response
Scenario-based testing and planning9, 16, 21, 31Uses simulations to prepare for extreme disruption scenariosBefore disruptionPreparedness-based
Automation and AI in decision-making36Supports real-time, data-informed decisions using intelligent technologiesDuring disruptionTechnology-driven
Efficient recovery6, 12, 20Restores infrastructure services efficiently by prioritizing actionsAfter disruptionPrioritization-based
Institutional and governance mechanismsGovernance and multi-agency coordination17, 18, 34, 35, 36Ensures coordinated decision-making and role clarity across institutionsBefore and during disruptionRegulative and normative assessment
Early warning and predictive analytics12, 36Forecasts failures and activates proactive responsesBefore disruptionProactive forecasting
Situational awareness and communication36Shares real-time information for effective decision-making and coordinationDuring disruptionInformation-centric
Equity in service restoration8, 10, 27, 30Prioritizes vulnerable or critical populations during infrastructure recoveryAfter disruptionEquity-centric
Note(s):

[1] Morshed et al., 2021; [2] Twumasi-Boakye and Sobanjo, 2019; [3] Soltani-Sobh et al., 2016; [4] Turnquist and Vugrin, 2013; [5] Chang et al., 2014; [6] Singh et al., 2018; [7] Rachunok and Nateghi, 2020; [8] Watson and Ahn, 2022; [9] Croope and McNeil, 2011; [10] Papadopoulos et al., 2017; [11] Orengo Serra and Sanchez-Jauregui, 2022; [12] Mottahedi et al., 2021; [13] Sun et al., 2020; [14] Bhusiri et al., 2021; [15] Kopanaki, 2022; [16] Gerges et al., 2022; [17] Santos et al., 2020; [18] Mostafavi and Inman, 2016; [19] Sathurshan et al., 2022; [20] Esmalian et al., 2022; [21] Nateghi, 2018; [22] McDaniels et al., 2015; [23] Blagojević et al., 2023; [24] Day, 2014; [25] Afrin and Yodo, 2019; [26] Cedergren et al., 2018; [27] Dargin and Mostafavi, 2020; [28] Wang et al., 2019; [29] Chester et al., 2021; [30] Hecht et al., 2019; [31] Liu et al., 2022; [32] Murdock et al., 2018; [33] Rehak et al., 2018; [34] Tiedmann et al., 2023; [35] Cantelmi et al., 2021; [36] Habibi Rad et al., 2021; [37] Bi et al., 2023; [38] Cimellaro et al., 2019; [39] Weir et al., 2024; [40] Kuraganti et al., 2020; [41] Dasuni et al., 2025 

Source(s): Authors’ own work

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