Parameter estimation strategies for large-scale urban models
作者： John E. Abraham , John Douglas Hunt
DOI: 10.3141/1722-02
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摘要: Large-scale urban models often are subdivided into simpler submodels. The parameters of these can be estimated using approaches that differ in regard to whether the full modeling system is run during an estimation procedure or overall performed simultaneously with individual There also ways which extra data used further inform parameter values. Five different techniques presented ("limited view," "piecewise" "simultaneous," "sequential," and "Bayesian sequential"), statistical theory necessary justify each technique concurrently described. practical advantages disadvantages discussed, illustrated a simple nested logit model example. concepts then by describing sequential process for land use/transport interaction Sacramento, California, region. ideas examples should help mode...
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