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The Evaluation of Transportation Model Random Error in Social and Environmental Indices

Dados Bibliográficos

ID7761155
AutoresAlan J Horowitz (University of California, Los Angeles, autor correspondente)
Ano1977
Volume9
Fascículo4
Páginas385-394
Data de publicação1977-04-01
Open AccessSim
TipoARTICLE
PeriódicoEnvironment and Planning A Economy and Space (JOURNAL)
Identificadores do periódicoISSN: 0308-518X • E-ISSN: 1472-3409
EditoraSAGE Publications (PUBLISHER • US)
DOI10.1068/a090385
OpenAlexW2083149752
IdiomaEN
Referências citadas4

Transportation simulation models can be used to calculate social and environmental indices of transportation system performance. The outputs of the simulation models are subject to random error, and this error is transmitted to these indices. Random error is a consequence of inaccuracies in calibration and input data, and simplified model theory. The error in the indices can often be estimated prior to model execution, thus allowing the analyst to determine whether the complexity of the model is appropriate for his particular needs. Examples of how noise pollution, air pollution, vehicle-miles-traveled, and vehicle-hours-traveled indices are affected by changing the zone size of an assignment model illustrate how knowledge of index error may be used to design a transportation simulation

Calibration · Errors-in-Variables Models · Machine learning · Simulation modeling · Statistics · Computer Science · Mathematics · Transportation Planning and Optimization · Urban Transport and Accessibility · Vehicle emissions and performance · Artificial Intelligence

  • The Estimation of Environmental Impacts for Transport Policy Assessment

    Open Access•M R Wigan•Environment and Planning A…•1976

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