What question did this study set out to answer?

To develop and evaluate a multimodal route optimization model that minimizes transit time and financial costs for emergency supply delivery under environmental uncertainties.

December 12, 2024SustainabilityOpen Access

Multimodal Transportation Route Optimization of Emergency Supplies Under Uncertain Conditions

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To develop and evaluate a multimodal route optimization model that minimizes transit time and financial costs for emergency supply delivery under environmental uncertainties.
Formulated a bi-objective model balancing transport time and cost while accounting for transshipment capacity constraints and environmental variability.
Applied interval number ranking theory with an assigned risk coefficient to convert uncertain metrics into deterministic parameters, using a weighted scoring method to simplify multi-objective criteria.
Evaluated model performance and parameter sensitivity across case scenarios using a genetic algorithm, particle swarm optimization, and a hybrid genetic–particle swarm algorithm.
Case study simulations verified model feasibility and demonstrated the superior solution accuracy and optimization performance of the hybrid genetic–particle swarm algorithm over standalone algorithms.
Sensitivity analysis revealed the impact of varying risk coefficients on total transport time and operational expenditure, offering quantifiable trade-offs for emergency logistics planning.

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Implication

Modeling study demonstrates superior route planning using a hybrid genetic-particle swarm algorithm under uncertainty, highlighting improved speed and cost-efficiency for emergency logistics.

Cite This Study

Xu et al. (2024) studied this question.

synapsesocial.com/papers/6a7dd6556bb6a3a5bcac7f5a https://doi.org/10.3390/su162410905

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Implication

Modeling study demonstrates superior route planning using a hybrid genetic-particle swarm algorithm under uncertainty, highlighting improved speed and cost-efficiency for emergency logistics.

Multimodal Transportation Route Optimization of Emergency Supplies Under Uncertain Conditions

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Discussion

Implication

Cite This Study

Multimodal Transportation Route Optimization of Emergency Supplies Under Uncertain Conditions

Key Points

Discussion

Implication

Cite This Study

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