Reliable Rescue Routing Optimization for Urban Emergency Logistics under Travel Time Uncertainty

Li, Qiuping; Tu, Wei; Li, Zhuo

doi:10.3390/ijgi7020077

Cited by 23 publications

(18 citation statements)

References 44 publications

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“…The problem of rescuing victim during storm flood disaster in urban cities is considered in [160], where the chance constraint programming specifying a confidence level under which the stochastic travel time constraint is guaranteed to hold. In this problem, a multi-objective with an assigned weight is addressed to minimise the total travel time budget of all vehicles as well as the maximum travel time budget of a single vehicle.…”

Section: Hybrid Methods In Rescue Vrpsmentioning

confidence: 99%

Vehicle Routing Optimisation in Humanitarian Operations: A Survey on Modelling and Optimisation Approaches

et al. 2021

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The growing field of humanitarian operations is driven by frequent events of disasters seen in the world today. Within this field, Operations Research (OR) plays a critical role in alleviating the suffering of victims that are impacted by disasters. This paper focuses on the branch of a well-known OR problem, known as the Vehicle Routing Problem (VRP), within the selected scope of humanitarian operations. A total of 123 papers of the last decade are reviewed and classified under the humanitarian operations of supply and delivery, evacuation as well as rescue operations. Besides specific disaster management phases and disaster types, various modelling challenges are highlighted, hinting towards a richer and more complex VRP seen under selected model characteristic classifications. Furthermore, established solution approaches, including hybrid solutions, are highlighted and classified, discussing how they are applied in the context of these humanitarian operations. The inclusion of a machine learning solution approach under the same classification is proposed. Finally, the trend and future outlook of VRP for the suggested humanitarian operations are discussed and highlighted.

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Section: Hybrid Methods In Rescue Vrpsmentioning

confidence: 99%

Vehicle Routing Optimisation in Humanitarian Operations: A Survey on Modelling and Optimisation Approaches

et al. 2021

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“…Mobility. Five issue papers analyzed human mobility related issues from various human-centric perspectives [60][61][62][63][64]: railway and public transport, emergencies, nursing equity, and crowd flows. Zheng et al [60] developed machine learning techniques to efficiently recognize modes of driving railway trains.…”

Section: The Contributions Of This Special Issuementioning

confidence: 99%

“…Maeda et al [64] created an index based on human mobility data, making it possible to predict the influence of urban development on future residential movements. Li and Zhou [61] proposed a multiobjective rescue routing model for urban emergency logistics under travel time reliability, critical for urban emergency logistics during disasters. Hu et al [62] performed a multi-modal trip network analysis to assess the spatial equity of nursing homes in Changchun, finding heterogeneous hot spots.…”

Section: The Contributions Of This Special Issuementioning

confidence: 99%

Human-Centric Data Science for Urban Studies

Resch

Szell

2019

IJGI

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Due to the wide-spread use of disruptive digital technologies like mobile phones, cities have transitioned from data-scarce to data-rich environments. As a result, the field of geoinformatics is being reshaped and challenged to develop adequate data-driven methods. At the same time, the term "smart city" is increasingly being applied in urban planning, reflecting the aims of different stakeholders to create value out of the new data sets. However, many smart city research initiatives are promoting techno-positivistic approaches which do not account enough for the citizens' needs. In this paper, we review the state of quantitative urban studies under this new perspective, and critically discuss the development of smart city programs. We conclude with a call for a new anti-disciplinary, human-centric urban data science, and a well-reflected use of technology and data collection in smart city planning. Finally, we introduce the papers of this special issue which focus on providing a more human-centric view on data-driven urban studies, spanning topics from cycling and wellbeing, to mobility and land use.

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“…That leads to maximum reconfiguration rates of the 3D-MEMS based cross-connects ranging from 100 ms to 10 s. The objective of the paper is to study the impact of the limited reconfiguration rate of the optical switches on the cost saving that reconfiguration policies allow us to obtain in NFV architectures where the NFV sites are optically interconnected. We formulate the optimization problem and due to its complexity we propose a heuristic based on the evaluation of a constrained shortest path [27] in a multi-stage graph.…”

Section: Related Workmentioning

confidence: 99%

Impact of the Maximum Number of Switching Reconfigurations on the Cost Saving in Network Function Virtualization Environments with Elastic Optical Interconnection

2019

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Network Function Virtualization is based on the virtualization of the network functions and it is a new technology allowing for a more flexible allocation of cloud and bandwidth resources. In order to employ the flexibility of the technology and to adapt its use according to the traffic variation, reconfigurations of the cloud and bandwidth resources are needed by means of both migration of the Virtual Machines executing the network functions and reconfiguration of circuits interconnecting the Virtual Machines. The objective of the paper is to study the impact of the maximum number of switch reconfigurations on the cost saving that the Networking Function Virtualization technology allows us to achieve. The problem is studied in the case of a scenario with an elastic optical network interconnecting datacenters in which the Virtual Machines are executed. The problem can be formulated as an Integer Linear Programming one introducing a constraint on the maximum number of switch reconfigurations but due to its computational complexity we propose a low computational complexity heuristic allowing for results close to the optimization ones. The results show how the limitation on the number of possible reconfigurations has to be taken into account to evaluate the effectiveness in terms of cost saving that the Virtual Machine migrations in Network Function Virtualization environment allows us to achieve.

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Reliable Rescue Routing Optimization for Urban Emergency Logistics under Travel Time Uncertainty

Cited by 23 publications

References 44 publications

Vehicle Routing Optimisation in Humanitarian Operations: A Survey on Modelling and Optimisation Approaches

Vehicle Routing Optimisation in Humanitarian Operations: A Survey on Modelling and Optimisation Approaches

Human-Centric Data Science for Urban Studies

Impact of the Maximum Number of Switching Reconfigurations on the Cost Saving in Network Function Virtualization Environments with Elastic Optical Interconnection

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