We carry out bond-strength based analysis for the migration barrier () of oxygen vacancies in rutile-type 3 transition-metal dioxides by combining density-functional theory (DFT) and the bond-valence model. The covalent and ionic contributions to chemical bonding are explicitly decomposed and quantified by the sum of the integrated crystal orbital Hamilton population () and the Madelung energy (), respectively. Both and exhibit strong correlations with the from DFT (), and their average provides a reasonable estimate of across the oxide series. Inspired by the bond-valence model, two parameters are extracted by fitting to a large dataset of 3 transition-metal dioxides. Our results show that using these parameters, of oxygen vacancies can be efficiently estimated.

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