Economic impacts of transportation network changes: Implementation of a combined transportation network and input-output model

By Tschangho John Kim, H. Ham, David E. Boyce. 2002

138 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Control and Systems Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/659cd411b504e36b70618b957f478bbfe85e6e29

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In Civil and Structural Engineering

In Control and Systems Engineering

In Transportation

Citations in the corpus

Modeling infrastructure system interdependencies and socioeconomic impacts of failure in extreme events: emerging R&D challenges (2015, background): “Kim et al. (2002) estimated the direct and indirect economic impacts of disruptions in the regional transport networks due to an earthquake considering the interindustry relationships through an integrated regional I–”
A Multiregional Impact Assessment Model for disaster analysis (2016, background): “, 2015) and earthquakes in specific (Cho et al., 2001; Kim et al., 2002; MacKenzie et al., 2012; Arto et al., 2015).”
Measuring Improvements in the Disaster Resilience of Communities (2004, background): “…on property damage, particularly to the building stock, several recent studies have emphasized lifeline infrastructure systems and how their damage could lead to regional economic disruptions (Applied Technology Council 1991, Rose et al. 1997, Cho et al. 2001, Chang et al. 2002, Kim et al. 2002).”
Regional disaster impact analysis: comparing Input-Output and Computable General Equilibrium models (2015, unknown): “Besides adding a time and resilience dimension, IO models have also been extended spatially by applying an interregional model instead of the traditional single-region model (see e.g. Cho et al., 2001; Kim et al., 2002; Okuyama et al. 2004; Crowther and Haimes, 2005; MacKenzie et al., 2012).”
Road network vulnerability analysis of area-covering disruptions: A grid-based approach with case study (2012, background): “As Murray et al. (2008) note, the different approaches all have their merits and shortcomings.”
Assessment of economic impacts from unexpected events with an interregional commodity flow and multimodal transportation network model (2005, methodology): “According to Kim et al. (2002) who analyzed commodity flows based on the 1993 Commodity Flow Survey data, nearly 40% of the aggregated outflows (exports) from the nine Midwest states go to other Midwest states while about 45% of the inflows (imports) are derived from the same region.”
The random-utility-based multiregional input-output model: solution existence and uniqueness (2004, background): “Transport prices affect input prices here, in a manner very different from standard network equilibration approaches (as in, e.g., Oppenheim 1995 and Kim et al. 2002)).”