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Empirically Derived Deterrence Functions for Maximum Performance Spatial Interaction Models

Bibliographic Data

ID4139317
AuthorsOpenshaw, Stan Openshaw (University of Newcastle Australia), C J Connolly (Planning Department, PO Box, County Hall, Durham, DH1 5UF, England), Courtney Connolly (Durham County Council)
Year1977
Volume9
Issue9
Pages1067-1079
Publication date1977-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a091067
OpenAlexW1986476987
LanguageEN
Citations received15
References cited11

The relationship between the choice of deterrence function and the goodness of fit of a singly constrained spatial interaction model is examined as a basis for improving model performance. The results show that there is no significant improvement in model goodness of fit until a deterrence-function characterisation is used which is based on a family of functions, with the spatial domain of each function being determined in an approximately optimal manner. These findings are consistent with theoretical research on microlevel trip behaviour and can be used to identify descriptive models which possess maximum levels of performance

Criminology · Econometrics · Goodness of fit · Statistics · Computer Science · Evacuation and Crowd Dynamics · Mathematics · Psychology · Transportation Planning and Optimization · Urban Transport and Accessibility

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Unique citing works15
Citations per year0,31
Citation span1978 - 2020 (43)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 12

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