Infrastructure resilience dimensions in humanitarian logistics
| Category | Dimension | Supporting studies | Definition | Occurrence stage | Coded strategy |
|---|---|---|---|---|---|
| Structural and systematic features | Robustness | 1, 2, 3, 5, 7, 9, 12, 13, 15, 20, 21, 23, 25, 31, 32, 33, 35, 37 | Resists or prevents damage through strength or design | Before disruption | Strength-based |
| Redundancy | 1, 2, 3, 5, 9, 11, 12, 13, 20, 21, 22, 23, 24, 25, 26, 30, 32, 33, 35, 37 | Substitutes or alternate failed components or pathways to maintain functionality | During and after disruption | Substitution-based | |
| Absorptive capacity | 4, 12, 13 | Buffers the impact using slack, reserves or protective systems | During disruption | Buffer-based | |
| Connectivity | 7, 19, 24, 31, 40, 41 | Maintains or restores network-wide access and service continuity | During and after disruption | Continuity-based | |
| Flexibility | 4, 11, 12, 14, 15, 16, 24, 26, 30, 31, 32, 35 | Reconfigures system structure or operations to adapt to disruption | During and after disruption | Adaptation-based | |
| System interdependency | 4, 5, 6, 7, 8, 9, 11, 15, 19, 23, 24, 25, 26, 28, 34, 37 | Manages cascading effects between interconnected infrastructure systems | Before and during disruption | Interdependency-awareness | |
| Operational and functional capabilities | Rapidity | 2, 3, 7, 12, 13, 20, 25, 31 | Restores critical infrastructure functions as quickly as possible | After disruption | Time-sensitive awareness |
| Recoverability | 1, 12, 23, 25, 31, 33, 35, 39 | Regains full infrastructure functionality over time | After disruption | Restoration-based | |
| Restorative capacity | 4, 12, 13 | Enables repair using available time, labor and material resources | After disruption | Operational capacity-based | |
| Detection and responsiveness | 33, 40 | Identifies system failures and enables prompt corrective action | During disruption | Awareness and response | |
| Monitoring and maintenance | 36 | Detects vulnerabilities early to prevent breakdowns | Before disruption | Preventive maintenance | |
| Adaptive and management capacities | Resourcefulness | 1, 3, 12, 13, 19, 20, 25, 31, 35 | Mobilizes personnel, tools and resources effectively under stress | During and after disruption | Mobilization-based |
| Adaptive capacity | 4, 12, 13, 24, 29. 38 | Reorganizes operations or applies alternative strategies during crises | During and after disruption | Dynamic response | |
| Scenario-based testing and planning | 9, 16, 21, 31 | Uses simulations to prepare for extreme disruption scenarios | Before disruption | Preparedness-based | |
| Automation and AI in decision-making | 36 | Supports real-time, data-informed decisions using intelligent technologies | During disruption | Technology-driven | |
| Efficient recovery | 6, 12, 20 | Restores infrastructure services efficiently by prioritizing actions | After disruption | Prioritization-based | |
| Institutional and governance mechanisms | Governance and multi-agency coordination | 17, 18, 34, 35, 36 | Ensures coordinated decision-making and role clarity across institutions | Before and during disruption | Regulative and normative assessment |
| Early warning and predictive analytics | 12, 36 | Forecasts failures and activates proactive responses | Before disruption | Proactive forecasting | |
| Situational awareness and communication | 36 | Shares real-time information for effective decision-making and coordination | During disruption | Information-centric | |
| Equity in service restoration | 8, 10, 27, 30 | Prioritizes vulnerable or critical populations during infrastructure recovery | After disruption | Equity-centric |
| Category | Dimension | Supporting studies | Definition | Occurrence stage | Coded strategy |
|---|---|---|---|---|---|
| Structural and systematic features | Robustness | 1, 2, 3, 5, 7, 9, 12, 13, 15, 20, 21, 23, 25, 31, 32, 33, 35, 37 | Resists or prevents damage through strength or design | Before disruption | Strength-based |
| Redundancy | 1, 2, 3, 5, 9, 11, 12, 13, 20, 21, 22, 23, 24, 25, 26, 30, 32, 33, 35, 37 | Substitutes or alternate failed components or pathways to maintain functionality | During and after disruption | Substitution-based | |
| Absorptive capacity | 4, 12, 13 | Buffers the impact using slack, reserves or protective systems | During disruption | Buffer-based | |
| Connectivity | 7, 19, 24, 31, 40, 41 | Maintains or restores network-wide access and service continuity | During and after disruption | Continuity-based | |
| Flexibility | 4, 11, 12, 14, 15, 16, 24, 26, 30, 31, 32, 35 | Reconfigures system structure or operations to adapt to disruption | During and after disruption | Adaptation-based | |
| System interdependency | 4, 5, 6, 7, 8, 9, 11, 15, 19, 23, 24, 25, 26, 28, 34, 37 | Manages cascading effects between interconnected infrastructure systems | Before and during disruption | Interdependency-awareness | |
| Operational and functional capabilities | Rapidity | 2, 3, 7, 12, 13, 20, 25, 31 | Restores critical infrastructure functions as quickly as possible | After disruption | Time-sensitive awareness |
| Recoverability | 1, 12, 23, 25, 31, 33, 35, 39 | Regains full infrastructure functionality over time | After disruption | Restoration-based | |
| Restorative capacity | 4, 12, 13 | Enables repair using available time, labor and material resources | After disruption | Operational capacity-based | |
| Detection and responsiveness | 33, 40 | Identifies system failures and enables prompt corrective action | During disruption | Awareness and response | |
| Monitoring and maintenance | 36 | Detects vulnerabilities early to prevent breakdowns | Before disruption | Preventive maintenance | |
| Adaptive and management capacities | Resourcefulness | 1, 3, 12, 13, 19, 20, 25, 31, 35 | Mobilizes personnel, tools and resources effectively under stress | During and after disruption | Mobilization-based |
| Adaptive capacity | 4, 12, 13, 24, 29. 38 | Reorganizes operations or applies alternative strategies during crises | During and after disruption | Dynamic response | |
| Scenario-based testing and planning | 9, 16, 21, 31 | Uses simulations to prepare for extreme disruption scenarios | Before disruption | Preparedness-based | |
| Automation and | 36 | Supports real-time, data-informed decisions using intelligent technologies | During disruption | Technology-driven | |
| Efficient recovery | 6, 12, 20 | Restores infrastructure services efficiently by prioritizing actions | After disruption | Prioritization-based | |
| Institutional and governance mechanisms | Governance and multi-agency coordination | 17, 18, 34, 35, 36 | Ensures coordinated decision-making and role clarity across institutions | Before and during disruption | Regulative and normative assessment |
| Early warning and predictive analytics | 12, 36 | Forecasts failures and activates proactive responses | Before disruption | Proactive forecasting | |
| Situational awareness and communication | 36 | Shares real-time information for effective decision-making and coordination | During disruption | Information-centric | |
| Equity in service restoration | 8, 10, 27, 30 | Prioritizes vulnerable or critical populations during infrastructure recovery | After disruption | Equity-centric |
[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
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