Spatial representation in the social interaction potential metric: an analysis of scale and parameter sensitivity

Xiao Li and Steven Farber ()
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Xiao Li: University of Utah
Steven Farber: University of Toronto Scarborough

Journal of Geographical Systems, 2016, vol. 18, issue 4, No 2, 357 pages

Abstract: Abstract The social interaction potential (SIP) metric measures urban structural constraints on social interaction opportunities of a metropolitan region based on the time geographic concept of joint accessibility. Previous implementations of the metric used an interaction surface based on census tracts and the locations of their centroids. This has been shown to be a shortcoming, as the metric strongly depends on the scale of the zoning system in the region, making it difficult to compare the SIP metric between metropolitan regions. This research explores the role of spatial representation in the SIP metric and identifies a suitable grid-based representation that allows for comparison between regions while retaining cost-effectiveness with respect to computational burden. We also report on findings from an extensive sensitivity analysis investigating the SIP metric’s input parameters such as a travel flow congestion factor and the length of the allowable time budget for social activities. The results provide new insights on the role of the modifiable areal unit problem in the computation of time geographic measures of accessibility.

Keywords: Social interaction potential; Time geography; Joint accessibility; MAUP; Sensitivity analyses (search for similar items in EconPapers)
JEL-codes: R41 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10109-016-0238-6

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