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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 1981
Data sources: zbMATH Open
SIAM Journal on Algebraic and Discrete Methods
Article . 1981 . Peer-reviewed
Data sources: Crossref
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On the Sensitivity of the Gravity Model

On the sensitivity of the gravity model
Authors: Elfving, Tommy;

On the Sensitivity of the Gravity Model

Abstract

The gravity model is perhaps the most widely used mathematical method for predicting travel between subareas in an urban region. In this paper, we will consider the Evans-Kirby version of the model [Transpn. Res., 8 (1974), pp. 105–122]. A formula is derived which shows the sensitivity of the model to errors in data from the prediction year, say ten years in the future, and to errors in data from the base year.

Keywords

gravity model, errors in data, travel between subareas, urban transportation management, prediction, sensitivity, Operations research and management science, Inference from stochastic processes and prediction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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