The potential of parsimonious models for understanding large scale transportation systems and answering big picture questions
A model with few variables is said to be parsimonious. If it is also analytically tractable, physically realistic, and conceptually insightful, it is said to be effective. Effective parsimonious models have long been used in fields such as economics and applied physics to describe the aggregate beha...
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| Published in | EURO Journal on Transportation and Logistics Vol. 1; no. 1-2; pp. 47 - 65 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Berlin/Heidelberg
Elsevier B.V
01.06.2012
Springer-Verlag |
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| Abstract | A model with few variables is said to be parsimonious. If it is also analytically tractable, physically realistic, and conceptually insightful, it is said to be effective. Effective parsimonious models have long been used in fields such as economics and applied physics to describe the aggregate behavior of systems as opposed to the behavior of their individual parts. In transportation, these models are particularly well suited to address big picture questions because they provide insights that might be lost when focusing on details. This paper presents an abbreviated history of effective parsimonious models in the transportation field, classified by sub-area: regional and urban economics, traffic flow, queuing theory, network dynamics, town planning, public transportation, logistics, and infrastructure management. The paper also discusses the benefits of these models—fewer data requirements, reduced computational complexity, improved system representation, insightfulness—and ways of constructing them. Two examples, one from logistics and one from urban transportation, are used to illustrate these points. Finally, the paper discusses ways of expanding the application of effective parsimonious models in the transportation field. |
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| AbstractList | A model with few variables is said to be parsimonious. If it is also analytically tractable, physically realistic, and conceptually insightful, it is said to be effective. Effective parsimonious models have long been used in fields such as economics and applied physics to describe the aggregate behavior of systems as opposed to the behavior of their individual parts. In transportation, these models are particularly well suited to address big picture questions because they provide insights that might be lost when focusing on details. This paper presents an abbreviated history of effective parsimonious models in the transportation field, classified by sub-area: regional and urban economics, traffic flow, queuing theory, network dynamics, town planning, public transportation, logistics, and infrastructure management. The paper also discusses the benefits of these models—fewer data requirements, reduced computational complexity, improved system representation, insightfulness—and ways of constructing them. Two examples, one from logistics and one from urban transportation, are used to illustrate these points. Finally, the paper discusses ways of expanding the application of effective parsimonious models in the transportation field. |
| Author | Gonzales, Eric J. Daganzo, Carlos F. Gayah, Vikash V. |
| Author_xml | – sequence: 1 givenname: Carlos F. surname: Daganzo fullname: Daganzo, Carlos F. email: daganzo@ce.berkeley.edu organization: University of California, 416A McLaughlin Hall, Berkeley, CA, USA – sequence: 2 givenname: Vikash V. surname: Gayah fullname: Gayah, Vikash V. email: vikash@berkeley.edu organization: University of California, 416G McLaughlin Hall, Berkeley, CA, USA – sequence: 3 givenname: Eric J. surname: Gonzales fullname: Gonzales, Eric J. email: eric.gonzales@rutgers.edu organization: Rutgers University, CAIT 120, Piscataway, NJ, USA |
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| Keywords | 41A99 Urban mobility Continuum approximations Macroscopic modeling Effective parsimonious models Mathematics Subject Classification Logistics |
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| Snippet | A model with few variables is said to be parsimonious. If it is also analytically tractable, physically realistic, and conceptually insightful, it is said to... |
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| SubjectTerms | 41A99 Business and Management Continuum approximations Effective parsimonious models Logistics Macroscopic modeling Management Science Mathematics Subject Classification Operations Research Operations Research/Decision Theory Optimization Research Paper Urban mobility |
| Title | The potential of parsimonious models for understanding large scale transportation systems and answering big picture questions |
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