Adding a freight network to a national interstate input–output model: a TransNIEMO application for California

Park, JiYoung; Cho, Joongkoo; Gordon, Peter; Moore, James E.; Richardson, Harry W.; Yoon, SungSu

doi:10.1016/j.jtrangeo.2011.07.019

Cited by 57 publications

(8 citation statements)

References 20 publications

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“…While both IO and CGE models are widely used, a comparison between their results has only been done on a theoretical level (e.g. Rose, 1995Rose, , 2004Okuyama and Santos, 2014) or on the basis of different case studies (e.g. Okuyama, 2010).…”

Section: Introductionmentioning

confidence: 99%

Regional disaster impact analysis: comparing Input-Output and Computable General Equilibrium models

Koks¹,

Carrera²,

Jonkeren³

et al. 2015

Preprint

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Abstract. A large variety of models has been developed to assess the economic losses of disasters, of which the most common ones are Input-Output (IO) and Computable General Equilibrium (CGE) models. In addition, an increasing numbers of scholars has developed hybrid approaches; one that combines both or either of them in combination with non-economic methods. While both IO and CGE models are widely used, they are mainly compared on theoretical grounds. Few studies have compared disaster impacts of different model types in a systematic way and for the same geographical area, using similar input data. Such a comparison is valuable from both a scientific and policy perspective as the magnitude and the spatial distribution of the estimated losses are likely to vary with the chosen modelling approach (IO, CGE, or hybrid). Hence, regional disaster impact loss estimates resulting from a range of models facilitates better decisions and policy making. Therefore, in this study we analyze one specific case study, using three regional models: two hybrid IO models and a regionally calibrated version of a global CGE model. The case study concerns two flood scenarios in the Po-river basin in Italy. Modelling results indicate that the difference in estimated total (national) economic losses and the regional distribution of those losses may vary by up to a factor of seven between the three models, depending on the type of recovery path. Total economic impact, comprising all Italian regions, is negative in all models though.

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Section: Introductionmentioning

confidence: 99%

Regional disaster impact analysis: comparing Input-Output and Computable General Equilibrium models

Koks¹,

Carrera²,

Jonkeren³

et al. 2015

Preprint

View full text Add to dashboard Cite

show abstract

“…carbon and water) (Zhao et al 2009;Wiedmann et al 2006). Another good example of a coupled IO and bottom-up model is the TransNIEMO model, where a multiregional IO model and a transportation network model are combined, which allows for the assessment of the economic consequences of a disaster on a major element of the highway network (Park et al 2011). In other words, IO models prove to be a good starting point in connecting an aggregate economic system with a fine level of detail in interactions between economic agents.…”

Section: Combining Cge and Io Models With Abms For Disaster Impact Anmentioning

confidence: 99%

Household migration in disaster impact analysis: incorporating behavioural responses to risk

Husby

Koks

2017

Nat Hazards

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Detailed estimates of economy-wide disaster losses provide important inputs for disaster risk management. The most common models used to estimate losses are inputoutput (IO) and computable general equilibrium (CGE) models. A key strength of these models is their ability to capture the ripple effects, whereby the impacts of a disaster are transmitted to regions and sectors that are not directly affected by the event. One important transmission channel is household migration. Changes in the spatial distribution of people are likely to have substantial impacts on local labour and housing markets. In this paper, we argue that IO and CGE models suffer from limitations in representing household migration under disaster risk. We suggest combining IO and CGE models with agent-based models to improve the representation of migration in disaster impact analysis.

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“…3.1). Another example is the TransNIEMO model, which is a coupling between a multiregional IO model and a transportation network model, which assesses economic consequences arising from disruption of highway network (Park et al, 2011). Finally, more research is being done recently in combining IO modelling with linear programming (see e.g.…”

Section: Hybrid Modelsmentioning

confidence: 99%

Regional disaster impact analysis: comparing input–output and computable general equilibrium models

Koks

Carrera

Jonkeren

et al. 2016

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. A variety of models have been applied to assess the economic losses of disasters, of which the most common ones are input-output (IO) and computable general equilibrium (CGE) models. In addition, an increasing number of scholars have developed hybrid approaches: one that combines both or either of them in combination with noneconomic methods. While both IO and CGE models are widely used, they are mainly compared on theoretical grounds. Few studies have compared disaster impacts of different model types in a systematic way and for the same geographical area, using similar input data. Such a comparison is valuable from both a scientific and policy perspective as the magnitude and the spatial distribution of the estimated losses are born likely to vary with the chosen modelling approach (IO, CGE, or hybrid). Hence, regional disaster impact loss estimates resulting from a range of models facilitate better decisions and policy making. Therefore, this study analyses the economic consequences for a specific case study, using three regional disaster impact models: two hybrid IO models and a CGE model. The case study concerns two flood scenarios in the Po River basin in Italy. Modelling results indicate that the difference in estimated total (national) economic losses and the regional distribution of those losses may vary by up to a factor of 7 between the three models, depending on the type of recovery path. Total economic impact, comprising all Italian regions, is negative in all models though.

show abstract

Adding a freight network to a national interstate input–output model: a TransNIEMO application for California

Cited by 57 publications

References 20 publications

Regional disaster impact analysis: comparing Input-Output and Computable General Equilibrium models

Regional disaster impact analysis: comparing Input-Output and Computable General Equilibrium models

Household migration in disaster impact analysis: incorporating behavioural responses to risk

Regional disaster impact analysis: comparing input–output and computable general equilibrium models

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