Facility Dependent Distance Decay in Competitive Location

2020 ◽  
Vol 20 (4) ◽  
pp. 915-934
Author(s):  
Tammy Drezner ◽  
Zvi Drezner ◽  
Dawit Zerom
2014 ◽  
Vol 246 (1-2) ◽  
pp. 31-55 ◽  
Author(s):  
Vladimir Marianov ◽  
H. A. Eiselt

2019 ◽  
Vol 36 (3) ◽  
pp. 607-645 ◽  
Author(s):  
Badi Hasisi ◽  
Simon Perry ◽  
Yonatan Ilan ◽  
Michael Wolfowicz

2010 ◽  
Vol 10 (1) ◽  
Author(s):  
Mats Målqvist ◽  
Nazmul Sohel ◽  
Tran T Do ◽  
Leif Eriksson ◽  
Lars-Åke Persson

1995 ◽  
Vol 27 (5) ◽  
pp. 715-729 ◽  
Author(s):  
A S Fotheringham ◽  
T C Pitts

Given that geographers excel at measuring and explaining spatial variations in attributes, it is surprising that they are not more aware that relationships may vary over space. It is still normal practice, for example, to estimate a set of parameters in a model and to assume that the relationships represented by these values apply equally to all locations and in all directions. Recently, however, there have been several applications of Casetti's expansion method that have been focused on measuring anisotropic trends around locations. Here this technique is used to examine possible anisotropy in distance-decay relationships around origins. That is, the authors attempt to answer the question: does the rate of distance decay vary with direction? The conclusions reached in previous research on this topic are only partially supported here. Via US migration data, it is suggested that although there is evidence of directional variation in distance decay around some origins, and this evidence leads to some interesting insights into the mental representation of space by US migrants, it is impossible to identify any overall trend across origins in directional variability.


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