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Theoretical filters: Reducing explanations in cities to their very essence

Michael Batty

Environment and Planning B: Urban Analytics and City Science2016https://doi.org/10.1177/0265813516663994article
ABDC A*
Weight
0.42

Abstract

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2 citations

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https://doi.org/https://doi.org/10.1177/0265813516663994

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@article{michael2016,
  title        = {{Theoretical filters: Reducing explanations in cities to their very essence}},
  author       = {Michael Batty},
  journal      = {Environment and Planning B: Urban Analytics and City Science},
  year         = {2016},
  doi          = {https://doi.org/https://doi.org/10.1177/0265813516663994},
}

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Theoretical filters: Reducing explanations in cities to their very essence

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Evidence weight

0.42

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.42 × 0.4 = 0.17
M · momentum0.20 × 0.15 = 0.03
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.