Calibrating and applying random-utility-based multiregional input-output models for real-world applications

DOI10.1007/s11067-019-9444-3OpenAlexW2912194282WikidataQ128588296 ScholiaQ128588296MaRDI QIDQ2005815

Chris Bachmann

Publication date: 8 October 2020

Published in: Networks and Spatial Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11067-019-9444-3

zbMATH Keywords

calibrationapplicationintegrated land use-transportation modelsrandom-utility-based multiregional input-output modelsspatial input-output models

Mathematics Subject Classification ID

Operations research, mathematical programming (90-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)

Uses Software

• Stata

Cites Work

• Analysis of critical infrastructure network failure in the European Union: a combined systems engineering and economic model
• A general equilibrium framework for integrated assessment of transport and economic impacts
• Component importance measures for multi-industry vulnerability of a freight transportation network
• Relationship between shipping accessibility and maritime transport demand: the case of mainland China
• Estimating freight flows for metropolitan area highway networks using secondary data sources
• Discrete Choice Methods with Simulation
• Input-Output Analysis
• Automobile Prices in Market Equilibrium

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