Development of a spatial risk assessment tool for the transportation of hydrocarbons: Methodology and implementation in a geographical information system

Tena-Chollet, Florian; Tixier, Jérôme; Dusserre, Gilles; Mangin, J.-F.

doi:10.1016/j.envsoft.2013.02.010

Cited by 29 publications

(17 citation statements)

References 13 publications

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“…In this context, it includes two dimensions: intensity of Fig. 4 Flowchart of risk assessment and mapping accident consequences and frequency of accidents, the former is deterministic and the latter is probabilistic (Planas et al 2006;Tena-Chollet et al 2013). The sensitivity of the targets to the chemical agents represents a dose-effect relationship between them (Li et al 2010).…”

Section: Severity Index Mappingmentioning

confidence: 99%

“…), propagation of the effects in the environment (e.g., toxic cloud dispersion, thermal radiation, overpressure of explosion, etc.) and risk targets (Tena-Chollet et al 2013). Compared to fire ball and explosion accidents, toxic release accidents usually cause much wider hazard zones, and it thus can be more able to reflect the potential hazards to adjacent urban areas.…”

Section: Risk Assessment and Mappingmentioning

confidence: 99%

“…The specific risk severity index S i of each mesh is defined as the combination of the accident frequency with the accident consequence intensity of each mesh (CPR18E 1999; Planas et al 2006;Salvi and Debray 2006;Tena-Chollet et al 2013), i.e.,…”

Section: Severity Index Mappingmentioning

confidence: 99%

“…To achieve this goal, the critical or sensitive risk targets within the study area must be identified, located and weighted to assess their relative importance (Tena-Chollet et al 2013). Moreover, social indicators play a significant role in determining vulnerability, and it is a key point to integrate them into vulnerability assessment (Cutter et al 2000;Li et al 2010).…”

Section: Vulnerability Index Mappingmentioning

confidence: 99%

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Risk-based optimization of emergency rescue facilities locations for large-scale environmental accidents to improve urban public safety

Zhao

Chen

2014

Nat Hazards

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Emergency rescue facility is an indispensable component of urban system and important for public safety. Due to the special characteristics and complexity of urban environmental accidents, locations of emergency rescue facilities should be optimized, and the decision criteria should be comprehensive, taking into account not only the spatial relations of these facilities but also the potential hazard of environmental accidents. This study proposes an innovative methodological framework to optimize the locations of emergency rescue facilities in the contexts of large-scale urban environmental accidents. Risk-based approach is involved to delineate the potential hazard of environmental accidents to the adjacent urban areas, and a three-objective decision optimization model is constructed. Moreover, an appropriate spatial representation and encoding strategy is designed and coupled with the non-dominated sorting genetic algorithm-II for model solving. A case study is presented to demonstrate the methodology, and it provides evidence that the involvement of risk mapping into the model construction has significant effect on the optimization result. The findings show that the strategy proposed in this study has the potential to be a useful decision support tool for urban planning with respect to public safety.

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Section: Severity Index Mappingmentioning

confidence: 99%

Section: Risk Assessment and Mappingmentioning

confidence: 99%

Section: Severity Index Mappingmentioning

confidence: 99%

Section: Vulnerability Index Mappingmentioning

confidence: 99%

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Risk-based optimization of emergency rescue facilities locations for large-scale environmental accidents to improve urban public safety

Zhao

Chen

2014

Nat Hazards

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“…Crises therefore lead decision-makers into an urgent decision-making situation, with the obligation to minimize the potential consequences for a wide range of high-stake elements [Tena-Chollet et al, 2013].…”

Section: Introductionmentioning

confidence: 99%

Training decision-makers: Existing strategies for natural and technological crisis management and specifications of an improved simulation-based tool

et al. 2017

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Serious games and environmental computer-based simulations can be useful training tools for people who have to act in emergencies. Currently, stakeholders who deal with crises have to make decisions under stress, for example in order to mitigate consequences or avoid negative impacts on high-stake elements.Many factors are critical in a training environment for ensuring that effective learning occurs, principally: experience improvement, engagement and immersion, and realism. This paper aims to identify the limits of existing learning systems for emergency stakeholders within a crisis cell and then to propose a set of recommendations in order to specify a system to improve the effectiveness of peoples' actions in case of a major crisis.The development of this approach requires the pooling of information concerning varied and multidisciplinary skills. The paper first focuses on the classical difficulties of crisis management, after which the notion of experience in decision-making is defined. The issue is studied from three points of view: the educational approach, the simulation system, and the training environment.The last section of this paper contributes to establishing a set of enhancements which can lead to the specification of simulation based learning systems for further development. More particularly, we specify the needed characteristics of our learning approach and teaching strategy. Finally, we propose a model with the main steps that have to be implemented in order to design a new learning system: a semi-virtual training environment for strategic crisis management.

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Tailoring a non-path-dependent model for environmental risk management and polycentric urban land-use planning

Sakieh

Salmanmahiny

Mirkarimi

2017

Environ Monit Assess

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This study attempts to develop a non-path-dependent model for environmental risk management and polycentric urban land-use planning in Gorgan Township area, Iran. Applying three suitability layers of environmental risk (soil erosion, flood risk, fire risk, and land susceptibility), urbanization potential, and integrated surface (environmental risk plus urbanization potential layers), a non-path-dependent Cellular Automata-Markov Chain (CA-MC) model was configured to execute three scenarios of polycentric urban growth allocation. Specifically, the modeling approach improved the traditional functionality of the CA-MC model from a prediction algorithm into an innovative land allocation tool. Besides, due to its flexibility, the non-path-dependent model was able to explicitly include different characteristics of the landscape structure ranging from physical land attributes to landscape functions and processes (natural hazards). Accordingly, three polycentric urban growth allocation efforts were undertaken and compared in terms of connectivity and compactness of the resultant patterns and consumption of other land resources. Based on results, the polycentric allocation procedure based on integrated suitability layer produced a more manageable pattern of urban landscape, while the growth option based on environmental risk layer was more successful for protecting farmlands against excessive urbanization. This study suggests that polycentric urban land-use planning under the strategy of rural land development programs is an available option for designing an urban landscape with lower exposure to natural hazards and more economic benefits to rural residents. Finally, the non-path-dependent modeling is a recommended approach, when highly flexible and interactive decision-support systems as well as trend-breaking scenarios are desired.

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Development of a spatial risk assessment tool for the transportation of hydrocarbons: Methodology and implementation in a geographical information system

Cited by 29 publications

References 13 publications

Risk-based optimization of emergency rescue facilities locations for large-scale environmental accidents to improve urban public safety

Risk-based optimization of emergency rescue facilities locations for large-scale environmental accidents to improve urban public safety

Training decision-makers: Existing strategies for natural and technological crisis management and specifications of an improved simulation-based tool

Tailoring a non-path-dependent model for environmental risk management and polycentric urban land-use planning

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