Exact and heuristic solution algorithms for efficient emergency evacuation in areas with vulnerable populations

Dulebenets, Maxim A.; Pasha, Junayed; Abioye, Olumide F.; Kavoosi, Masoud; Özgüven, Eren Erman; Moses, Ren; Boot, Walter R.; Sando, Thobias

doi:10.1016/j.ijdrr.2019.101114

Cited by 74 publications

(30 citation statements)

References 52 publications

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“…For example, Shen et al [20] found that human-related errors (73.8%) and vehicle-related defects (19.6%) were the primary reasons for hazmat tanker crashes, and hazmat tanker accidents mainly occurred in eastern (38.1%) and southwest China (12.3%). Similar results were also found and proven by [21][22][23][24][25].…”

Section: Risk Assessment Related the Transport Of Hazardous Materialssupporting

confidence: 89%

“…One of the most important risks in the road transportation of hazardous materials is truck accidents [20][21][22][23], especially collision accidents, in which the main influential factors are the truck drivers' properties, type of truck, the truck's safety conditions, environmental properties, and road properties. For example, Shen et al [20] found that human-related errors (73.8%) and vehicle-related defects (19.6%) were the primary reasons for hazmat tanker crashes, and hazmat tanker accidents mainly occurred in eastern (38.1%) and southwest China (12.3%).…”

Section: Risk Assessment Related the Transport Of Hazardous Materialsmentioning

confidence: 99%

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Causation Analysis of Hazardous Material Road Transportation Accidents Based on the Ordered Logit Regression Model

Zhou

Yang

2020

IJERPH

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Understanding the influence factors and related causation of hazardous materials can improve hazardous materials drivers’ safety awareness and help traffic professionals to develop effective countermeasures. This study investigates the statistical distribution characteristics, such as types of hazardous materials transportation accidents, driver properties, vehicle properties, environmental properties, road properties. In total, 343 data regarding hazardous materials accidents were collected from the chemical accident information network of China. An ordered logit regression (OLR) model is proposed to account for the unobserved heterogeneity across observations. Four independent variables, such as hazardous materials drivers’ properties, vehicle properties, environmental properties, and road properties are employed based on the OLR model, an ordered multinomial logistic regression (MLR) is estimated the OLR model parameters. Both parameter estimates and odds ratio (OR) are employed to interpret the impact of influence factors on the severity of hazardous materials accidents. The model estimation results show that 10 factors such as violations, unsafe driving behaviors, vehicle faults, and so on are closely related to accidents severity of hazardous materials transportation. Furthermore, three enforcement countermeasures are proposed to prevent accidents when transporting hazardous materials.

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Section: Risk Assessment Related the Transport Of Hazardous Materialssupporting

confidence: 89%

Section: Risk Assessment Related the Transport Of Hazardous Materialsmentioning

confidence: 99%

Causation Analysis of Hazardous Material Road Transportation Accidents Based on the Ordered Logit Regression Model

Zhou

Yang

2020

IJERPH

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“…The description of the gradual opening of the levee breach must be somehow included in the 2-D modelling, since the hypothesis of instantaneous break is not realistic for river embankments. Among the available approaches in the literature, which also include the coupling of the SWEs with a sediment transport model (Faeh, 2007), or with an erosion law (Dazzi et al, 2019), the simple "geometric" approach is selected in this work for two reasons. First, the uncertainties about the geotechnical parameters of the embankment and the com-plexity of the breaching process (three-dimensionality, interactions between erosion, infiltration, bank stability, etc.)…”

Section: Levee-breach Location and Modellingmentioning

confidence: 99%

Enhancing the resilience to flooding induced by levee breaches in lowland areas: a methodology based on numerical modelling

Ferrari

Dazzi

Vacondio

et al. 2020

Nat. Hazards Earth Syst. Sci.

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Abstract. With the aim of improving resilience to flooding and increasing preparedness to face levee-breach-induced inundations, this paper presents a methodology for creating a wide database of numerically simulated flooding scenarios due to embankment failures, applicable to any lowland area protected by river levees. The analysis of the detailed spatial and temporal flood data obtained from these hypothetical scenarios is expected to contribute both to the development of civil protection planning and to immediate actions during a possible future flood event (comparable to one of the available simulations in the database) for which real-time modelling may not be feasible. The most relevant criteria concerning the choice of mathematical model, grid resolution, hydrological conditions, breach parameters and locations are discussed in detail. The proposed methodology, named RESILIENCE, is applied to a 1100 km2 pilot area in northern Italy. The creation of a wide database for the study area is made possible thanks to the adoption of a GPU-accelerated shallow-water numerical model which guarantees remarkable computational efficiency (ratios of physical to computational time up to 80) even for high-resolution meshes (2.5–5 m) and very large domains (>1000 km2).

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“…Furthermore, commercial exact optimization solvers, such as BARON, could require extensive computational time to solve large-scale problem instances Lee and Song, 2017;Dulebenets et al, 2018;Dulebenets et al, 2019b;Dulebenets et al, 2020;Kavoosi et al, 2019;Theophilus et al, 2019;Kavoosi et al, 2020a;Kavoosi et al, 2020b).…”

Section: Baron Amalgamates Duality Interval Analysis and Constraintmentioning

confidence: 99%

A Holistic Optimization Model for Integrated Tactical Level Planning in Liner Shipping

Pasha¹

2020

Preprint

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Supply chain management plays an important role in ensuring an efficient merchandise trade. Freight transportation is an integral part of supply chain management. A significant part of freight transportation is covered by maritime transportation, as the largest portion of the global merchandise trade, in terms of volume, is carried out by maritime transportation. Liner shipping, which runs on fixed routes and schedules, plays a colossal role for the global seaborne trade. Liner shipping companies deal with three decision levels, namely strategic level, tactical level, and operational level. The strategic-level decisions are taken for more than six months to several years. The tactical-level decisions are effective for three months to six months. Moreover, the operational level decisions are taken for a couple of weeks to less than three months.This dissertation involves the tactical-level decisions in liner shipping, which include: (1) service frequency determination; (2) fleet deployment; (3) sailing speed optimization; and (4) vessel scheduling. The service frequency determination problem deals with determining the time headway between consecutive vessels along a liner shipping route. The fleet deployment problem assigns vessels from the liner shipping company’s fleet (and sometimes, from other liner shipping companies’ fleets) to liner shipping routes. The sailing speed optimization problem deals with selecting sailing speeds along different voyage legs of a given port rotation. The vessel scheduling problem lists the schedules (e.g., arrival time, handling time, departure time) at different ports.A comprehensive review of the liner shipping literature revealed that the existing literature on the tactical-level decisions focused on these problems individually. Solutions from different solution methodologies for the separate problems may have compatibility problems. Moreover, they are not attractive to the liner shipping companies, who look for integrated solutions. Hence, this research aimed to develop a combined mathematical model that comprises the four tactical-level decisions in liner shipping (i.e., service frequency determination, fleet deployment, sailing speed optimization, and vessel scheduling). This mathematical model is named the Holistic Optimization Model for Tactical-Level Planning in Liner Shipping (HOMTLP).The objective of the HOMTLP mathematical model is to maximize of the total profit from transport of cargo. The major route service cost components, found from the literature, are covered by the model, which include: (I) total late arrival cost; (II) total port handling cost; (III) total fuel consumption cost; (IV) total vessel operational cost; (V) total vessel chartering cost; (VI) total container inventory cost in sea; (VII) total container inventory cost at ports of call; (VIII) total emission cost in sea; and (IX) total emission cost at ports of call. Along with the integration of all four tactical-level decisions, the mathematical model has a number of key advantages. First, the model provides flexibility to both the liner shipping company and the marine container terminal operators, as it offers multiple time windows and handling rates at each port of call. Second, the payload carried by the vessels is considered while estimating fuel consumption. Third, the preference of customers is reflected by modification of the container demand at different sailing speeds. Fourth, container inventory is accounted for at ports of call and in sea. Fifth, emissions of different harmful substances are captured in order to preserve the environment.This dissertation carried out a set of numerical experiments to test the performance of the HOMTLP model, where BARON was used as the solution approach. It was revealed that when there was an increase in the unit fuel cost, the unit emission cost, vessel availability, the unit late arrival cost, and the unit freight rate, the sailing speed was reduced. On the other hand, when there was an increase in the unit inventory cost, the unit operational cost, as well as the unit chartering cost, the sailing speed was increased. Moreover, the total required number of vessels was increased, when there as an increase in the unit fuel cost, the unit emission cost, vessel availability, the unit late arrival cost, and the unit freight rate. On the contrary, the total required number of vessels was decreased, when there was an increase in the unit inventory cost, the unit operational cost as well as the unit chartering cost. It was also revealed that the total profit was increased, when more choices were available for time windows and/or container handling rates. The numerical experiments highlighted several other findings. Most importantly, it was found that the HOMTLP model can provide effective tactical-level decisions. Hence, the mathematical model can assist liner shipping companies to take tactical-level decisions, which are effective and profitable.

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Exact and heuristic solution algorithms for efficient emergency evacuation in areas with vulnerable populations

Cited by 74 publications

References 52 publications

Causation Analysis of Hazardous Material Road Transportation Accidents Based on the Ordered Logit Regression Model

Causation Analysis of Hazardous Material Road Transportation Accidents Based on the Ordered Logit Regression Model

Enhancing the resilience to flooding induced by levee breaches in lowland areas: a methodology based on numerical modelling

A Holistic Optimization Model for Integrated Tactical Level Planning in Liner Shipping

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