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Open research questions in Facility Location and Emergency Management

94 gap statements mined from Facility Location and Emergency Management papers in our 4.5M-paper local library, which holds 904 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • The need to balance the dataset due to the imbalance of positive and negative samples.

    Location Prediction of Urban Fire Station Based on GMM Clustering and Machine Learning · 2026 · DOI

  • The lack of consideration for regional differences in population density, urban functions, and terrain in existing research. The need for a more accurate and reliable location prediction method for urban fire stations.

    Location Prediction of Urban Fire Station Based on GMM Clustering and Machine Learning · 2026 · DOI

  • The lack of methods that handle hard spatial constraints in large-scale location-allocation. The need for a new scientific location-allocation method that can address the spatial reallocation challenge.

    GeoPPO—A Location-Allocation Method of Superstores Based on Deep Reinforcement Learning—A Case Study of Xi’an · 2026 · DOI

  • The need to consider transfer-time constraints in emergency medical care. The complexity of quantifying the spatial mismatch of emergency-bed supply and demand.

    Dynamic Supply–Demand Matching and Spatial Mismatch Diagnosis of Emergency Beds in Designated Hospitals During Public Health Emergencies: A SEIQRDP-SG and 3SFCA-SMI Framework · 2026 · DOI

  • Existing GIS-based suitability studies do not determine which limited set of planning nodes to prioritise. The planning challenge is not solely determined by the presence of veterinary hospitals in a district. Demand for veterinary hospitals cannot be represented by population size alone.

    Spatial Allocation of Veterinary Healthcare Facilities in Beijing Using Random Forest and Priority-Constrained Covering Optimisation · 2026 · DOI

  • The operation and maintenance of telecommunications infrastructure is increasingly recognized as a critical yet underexplored domain. Efficient and sustainable field operations are not only economically necessary but also integral to reducing the sector's carbon footprint and resource consumption.

    Geospatial Optimization of Field Engineer Deployment for Sustainable Telecommunication Tower Maintenance: A Case Study in West Java, Indonesia · 2026 · DOI

  • Store mobility enables demand learning and profit maximization, yet an optimal dynamic store location policy remains unclear.

    Online Facility Location: Running Stores on Wheels with Spatial Demand Learning · 2026 · DOI

  • Whereas the model should be further validated and can be refined and extended, it sets a basis for enabling a comprehensive strategic assessment of the performance of aeronautical SAR systems.

    A discrete event simulation model approach for probabilistic estimates of helicopter search and rescue times to maritime incidents in the Canadian Arctic · 2026 · DOI

  • However, current studies focus on the location, delivery and allocation of relief supplies, and how to deal with the reusable relief supplies that are returned after a disaster response has not been addressed.

    Value-based disposal mechanism for relief supply returns in post-disaster humanitarian logistics · 2025 · DOI

  • When the number of available AEDs is insufficient, better coverage may be achieved by placing a portion of AEDs as B-AEDs.

    Optimizing Defibrillator Deployment with Bus-Mounted Automated External Defibrillator · 2024 · DOI

  • Key barriers include lack of standardization, organizational resistance, data quality issues, and legal challenges.

    Analyzing Barriers to Internet of Things (IoT) Adoption in Humanitarian Logistics: An ISM–DEMATEL Approach · 2024 · DOI

  • The lack of integration between IRP and CTP in humanitarian logistics. The need for a scenario-based probabilistic approach to address unpredictable demand.

    A covering tour-based inventory routing framework for humanitarian logistics · 2026 · DOI

  • The need to balance multiple optimization objectives, including time, cost, and urgency ranking index.

    Research on Emergency Rescue Vehicle Scheduling with Consideration of Demand Urgency · 2026 · DOI

  • The lack of consideration of demand urgency and dynamic fire spread conditions. The need for a novel methodology to optimize forest fire emergency rescue vehicle scheduling.

    Research on Emergency Rescue Vehicle Scheduling with Consideration of Demand Urgency · 2026 · DOI

  • There is a lack of common definition of disaster accepted by all fields of science. There is a need for innovative decision support models for determining temporary shelter areas.

    Integration of GIS and MCDM for temporary shelter site selection in earthquake-risk zone: a case study with sensitivity analysis · 2026 · DOI

  • Future research should focus on creating more adaptive, scalable, and practically implementable optimization approaches. The development of optimization frameworks for complex socio-physical systems is a key area for future research.

    Systems optimization for enhancing community resilience to natural hazards: a review of integrated modeling approaches · 2026 · DOI

  • The paper identifies a gap in the development of optimization frameworks that can effectively manage deep uncertainty and dynamic adaptation. There is a need for more scalable and practically implementable optimization approaches.

    Systems optimization for enhancing community resilience to natural hazards: a review of integrated modeling approaches · 2026 · DOI

  • The paper identifies the need for a context-aware SAR framework to identify and estimate key parameters in rescue operations. The paper also identifies the need for a hybrid method that combines ant colony optimization and reinforcement learning.

    A Context-Aware Post-Earthquake Search and Rescue with ACO-RL · 2026 · DOI

  • Transportation hubs are complex systems that require consideration of multiple factors. The location selection of transportation hubs is a strategic decision that can shape the accessibility and mobility structure of an urban region. Fuzzy BWM can be a useful method under uncertainty, but its application in transportation hub location selection is limited.

    Meta-Analytical Insights into Transportation Hub Planning: Managing Uncertainty with Fuzzy Best-Worst Method · 2026 · DOI

  • The current capacity distribution in the district is not homogeneous among neighborhoods and contains significant spatial inequalities. The spatial distribution of assembly areas and their balanced relations with the population are critical. Only the total amount of open space being adequate is not sufficient alone in terms of disaster preparedness.

    Cluster-Based Strategic Planning and Capacity Optimization of Assembly Areas in Disaster Management · 2026 · DOI

  • The study does not determine which limited set of planning nodes to prioritise when existing supply is clustered and underserved areas require explicit protection. The RF output is interpreted as a proxy for location attractiveness, rather than a direct estimate of demand for veterinary healthcare. The model depends on predefined coverage thresholds and may overlook equity and heterogeneous service capacity.

    Spatial Allocation of Veterinary Healthcare Facilities in Beijing Using Random Forest and Priority-Constrained Covering Optimisation · 2026 · DOI

  • The hybrid MCDM approach is used to address the location selection problem.

    Emergency Logistics Distribution Center Selection Using Fuzzy AHP and Fuzzy VIKOR Methods · 2026 · DOI

  • Validation of the framework in other cities or larger regions, - Incorporation of temporal dynamics of population flow and demand, - Exploration of other application domains for the GeoPPO…

    GeoPPO—A Location-Allocation Method of Superstores Based on Deep Reinforcement Learning—A Case Study of Xi’an · 2026 · DOI

  • Lack of consistent community-level data for emergency-call processing, ambulance dispatch, on-scene triage and stabilization, real-time traffic, and hospital handover, - The 3SFCA-SMI analysis was recalculated using 20 and 30 min thresholds while holding all other model settings…

    Dynamic Supply–Demand Matching and Spatial Mismatch Diagnosis of Emergency Beds in Designated Hospitals During Public Health Emergencies: A SEIQRDP-SG and 3SFCA-SMI Framework · 2026 · DOI

  • Further research could explore the application of the proposed framework in other resource-constrained environments, - Future studies could investigate the impact of variability in maintenance complexity on the proposed framework, - Additional research could examine the potential benefits of integrating other sustainability-oriented metrics…

    Geospatial Optimization of Field Engineer Deployment for Sustainable Telecommunication Tower Maintenance: A Case Study in West Java, Indonesia · 2026 · DOI

Most-cited papers in Facility Location and Emergency Management

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Open questions raised by papers listed on this page include: (1) The lack of consideration for regional differences in population density, urban functions, and terrain in existing research (“Location Prediction of Urban Fire Station Based on GMM Clustering and Machine…”, 2026); (2) The lack of methods that handle hard spatial constraints in large-scale location-allocation (“GeoPPO—A Location-Allocation Method of Superstores Based on Deep Reinforcement…”, 2026); (3) Store mobility enables demand learning and profit maximization, yet an optimal dynamic store location policy remains unclear (“Online Facility Location: Running Stores on Wheels with Spatial Demand Learning”, 2026); (4) The lack of integration between IRP and CTP in humanitarian logistics (“A covering tour-based inventory routing framework for humanitarian logistics”, 2026); (5) The lack of consideration of demand urgency and dynamic fire spread conditions (“Research on Emergency Rescue Vehicle Scheduling with Consideration of Demand…”, 2026). 94 gap statements have been mined from Facility Location and Emergency Management papers in our 4.5M-paper local library, which holds 904 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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