Transportation network reliability in emergency response

Edrissi, Ali; Nourinejad, Mehdi; Roorda, Matthew J.

doi:10.1016/j.tre.2015.05.005

Cited by 68 publications

(34 citation statements)

References 37 publications

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“…(2) Finish time of repair activity. Equation (3) indicates that the finish time of repair activity at the disaster point is the sum of activity start time and selected activity duration.…”

Section: Project Duration Calculationmentioning

confidence: 99%

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Emergency Repair Scheduling Model for Road Network Integrating Rescheduling Feature

et al. 2021

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When a natural disaster occurs, road maintenance departments always face the challenge of how to assign repair resources properly to recover damaged road segments as soon as possible. From the literature review, most studies treat such problems as a vehicle routing problem (VRP). In those studies, repair resources are always dispatched as complete crews, and cannot be divided into smaller scales. Furthermore, each disaster point is only allowed one group of resources to recover it, without considering the possibility of accelerating the production rate subjected to specific objectives. Such limitation restricts required resources in an inflexible manner. Therefore, this study defines all repair works as an emergency repair project and adopts the framework of the Resource-Constrained Project Scheduling Problem (RCPSP), which can resolve such complicated resource assignment issue. A novel emergency repair scheduling model for the road network is proposed based on Constraint Programming (CP) as the searching algorithm to facilitate model formulation. According to the RCPSP concepts, disaster points are set as repair activities and resource travel routes between disaster points are set as transit activities. All the repair activities are linked by transit activities and the required resources are assigned accordingly. In order to consider the second-wave hazard events of where new disaster points may occur, and new resources may be added into emergency repair projects, a rescheduling feature is integrated into the proposed model. Through two case studies, research findings show that this model can be easily modulated to adapt to different situations satisfying practical disaster management goals and solving emergency repair scheduling problems for road networks efficiently.

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“…(2) Finish time of repair activity. Equation (3) indicates that the finish time of repair activity at the disaster point is the sum of activity start time and selected activity duration.…”

Section: Project Duration Calculationmentioning

confidence: 99%

“…The strike of a devastating hazard event causes significant damage to the road network and creates a chaotic situation [1][2][3][4]. Thus, effective disaster management in this chaotic post disaster situation becomes an inevitable demand to overcome post disaster problems and ensure road network functionality [5,6].…”

Section: Introductionmentioning

confidence: 99%

Emergency Repair Scheduling Model for Road Network Integrating Rescheduling Feature

et al. 2021

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“…Como puede observarse en la figura 4, los terremotos son los desastres más estudiados, debido principalmente a que las regiones definidas para los modelos, son propensas a este tipo de fenóme-nos (Bell, et al, 2014;Salman & Yücel, 2015;Renkli & Durán, 2015), además por el carácter aleatorio que presentan estos eventos y por el nivel de afectación que tiene sobre las vías de transporte (Bell, et al, 2014;Edrissi, et al, 2015). Otros desastres estudiados en la literatura son los huracanes e inundaciones, mientras que sólo una publicación se enfocó en un programa de desarrollo humanitario de largo plazo.…”

Section: Juan Camilo López-vargas Diana María Cárdenas-aguirreunclassified

Gestión de la logística humanitaria en las etapas previas al desastre: revisión sistemática de la literatura

López-Vargas

Cárdenas-Aguirre

2017

rev. investig. desarro. innov

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Cómo citar este artículo: López-Vargas, J. C., & Cárdenas-Aguirre, D. M. (2017) Gestión de la logística humanitaria en las etapas previas al desastre:revisión sistemática de la literatura. Rev.investig.desarro.innov, 7(2), 203-216. doi: 10.19053/20278306.v7.n2.2017 ResumenEl objetivo de este trabajo es analizar la forma en que las etapas de mitigación y preparación que hacen parte del proceso de la logística humanitaria son presentadas en la literatura relacionada con el tema. Para esto, se realizó una revisión sistemática de la literatura con el uso de la aplicación Tree of Science de la Universidad Nacional de Colombia -Sede Manizales. La revisión permite reconocer la importancia que estas etapas tienen respecto al nivel de respuesta ante los desastres, así como los tipos de desastres y las decisiones de mitigación y preparación que más comúnmente se abordan. Asimismo, se pone en evidencia una menor participación de estos temas en la literatura especializada. Por lo tanto, ampliar el estudio de las etapas de mitigación y preparación hacia otros tipos de desastres y en otros contextos geográfi-cos, constituye un campo de interés para futuras investigaciones.Palabras clave: logística humanitaria, Tree of Science, mitigación de desastres, preparación de desastres. AbstractThe aim of this paper is to analyze how mitigation and preparedness stages that are part of the process of humanitarian logistics are presented in the literature related with the topic. For this, a systematic review of the literature was conducted using application Tree of Science of the Universidad Nacional de Colombia in Manizales. The review allows recognize the importance that these stages have on the level of disaster response, as well as the types of disasters and mitigation and preparation decisions most commonly addressed. Likewise, a smaller participation of these topics is evidenced in the specialized literature. Therefore, extend the study of the stages of mitigation and preparedness to other types of disasters and other geographical contexts is a field of interest for future research.

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“…Ehsan et al used the multi-agent model and evolutionary computation to disseminate public advisories about hazardous material emergencies [ 23 ]. However, generally, these studies represent only the beginning of emergency logistics network research using complex network theory; there is little optimization technology research based on reliability theory [ 24 , 25 ]. Edrissi et al found critical links, where link importance values were derived using the concept of network reliability.…”

Section: Introductionmentioning

confidence: 99%

“…Edrissi et al found critical links, where link importance values were derived using the concept of network reliability. A network improvement problem was then solved to minimize the death toll, and a heuristic algorithm was proposed to solve real-sized problems [ 25 ]. In particular, there is little related research on emergency logistics network reliability using a complex network [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

On the Simulation-Based Reliability of Complex Emergency Logistics Networks in Post-Accident Rescues

Wang

Huang

Liang

2018

IJERPH

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This paper investigates the reliability of complex emergency logistics networks, as reliability is crucial to reducing environmental and public health losses in post-accident emergency rescues. Such networks’ statistical characteristics are analyzed first. After the connected reliability and evaluation indices for complex emergency logistics networks are effectively defined, simulation analyses of network reliability are conducted under two different attack modes using a particular emergency logistics network as an example. The simulation analyses obtain the varying trends in emergency supply times and the ratio of effective nodes and validates the effects of network characteristics and different types of attacks on network reliability. The results demonstrate that this emergency logistics network is both a small-world and a scale-free network. When facing random attacks, the emergency logistics network steadily changes, whereas it is very fragile when facing selective attacks. Therefore, special attention should be paid to the protection of supply nodes and nodes with high connectivity. The simulation method provides a new tool for studying emergency logistics networks and a reference for similar studies.

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Transportation network reliability in emergency response

Cited by 68 publications

References 37 publications

Emergency Repair Scheduling Model for Road Network Integrating Rescheduling Feature

Emergency Repair Scheduling Model for Road Network Integrating Rescheduling Feature

Gestión de la logística humanitaria en las etapas previas al desastre: revisión sistemática de la literatura

On the Simulation-Based Reliability of Complex Emergency Logistics Networks in Post-Accident Rescues

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