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Zenodo
2026
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| Accesso online: | https://doi.org/10.5281/zenodo.18963262 |
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| _version_ | 1866901859435806720 |
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| author | Liu, Chunting Liu, Xiufeng |
| author_facet | Liu, Chunting Liu, Xiufeng |
| contents | <div> <div>Effective post-disaster relief depends on the rapid restoration of blocked transportation networks, yet restoration sequencing and relief distribution are often decoupled in operational planning. This decoupling ignores the critical temporal interdependence between infrastructure recovery and the urgency of service delivery to vulnerable communities. We propose an integrated multi-period optimization framework that co-optimizes road restoration scheduling and relief distribution under a deprivation-based equity objective. We evaluate the model using a warm-started decomposition heuristic across large synthetic networks and a Puerto Rico Maria case study built from public road, population, and hazard data. The results show that endogenizing equity-aware accessibility materially changes service outcomes: in an exact trade-off study, increasing the equity weight reduces the priority-node average service period from 4.19 to 3.21 and cuts the unmet demand fraction from 0.916 to 0.344. In the Puerto Rico case, the equity-oriented policy improves the objective by up to 2.4% and reduces priority-node waiting by up to 1.6 periods relative to an efficiency-first baseline. These findings demonstrate that restoration priorities should be evaluated by how early vulnerable communities gain access to relief, not only by aggregate connectivity or travel efficiency. The study provides a quantitative basis for disaster managers to prioritize infrastructure recovery based on community-level delivery urgency.</div> </div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18963262 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Equity-Aware Post-Disaster Road Restoration and Relief Distribution: A Deprivation-Based Integrated Optimization Framework Liu, Chunting Liu, Xiufeng <div> <div>Effective post-disaster relief depends on the rapid restoration of blocked transportation networks, yet restoration sequencing and relief distribution are often decoupled in operational planning. This decoupling ignores the critical temporal interdependence between infrastructure recovery and the urgency of service delivery to vulnerable communities. We propose an integrated multi-period optimization framework that co-optimizes road restoration scheduling and relief distribution under a deprivation-based equity objective. We evaluate the model using a warm-started decomposition heuristic across large synthetic networks and a Puerto Rico Maria case study built from public road, population, and hazard data. The results show that endogenizing equity-aware accessibility materially changes service outcomes: in an exact trade-off study, increasing the equity weight reduces the priority-node average service period from 4.19 to 3.21 and cuts the unmet demand fraction from 0.916 to 0.344. In the Puerto Rico case, the equity-oriented policy improves the objective by up to 2.4% and reduces priority-node waiting by up to 1.6 periods relative to an efficiency-first baseline. These findings demonstrate that restoration priorities should be evaluated by how early vulnerable communities gain access to relief, not only by aggregate connectivity or travel efficiency. The study provides a quantitative basis for disaster managers to prioritize infrastructure recovery based on community-level delivery urgency.</div> </div> |
| title | Equity-Aware Post-Disaster Road Restoration and Relief Distribution: A Deprivation-Based Integrated Optimization Framework |
| url | https://doi.org/10.5281/zenodo.18963262 |