Paper Info
Title
An exact statistical method for analyzing co-location on a street network and its computational implementation
Abstract
In many central districts in cities across the world, different types of stores form clusters resulting from the benefits of spatial agglomeration. To precisely analyze co-location relationships in a micro-scale space, this study develops a new statistical method by addressing the limitations of the ordinary cross K function method. The objectives of this paper are, first, to formulate an exact statistical method for analyzing co-location along streets in a central district constrained by a street network; second, to implement this statistical method in computational procedures. Third, this method is extended to the analysis of repulsive-location, i.e. phenomena of stores locating repulsively among different types of stores. Fourth, the paper shows a graph-theoretic diagram illustrating the spatial structure of stores in a central district consisting of bilateral, unilateral co-location and repulsive-location. Last, the proposed method is applied to eight different types of stores in a trendy district in Tokyo. The results show that the method is useful for revealing the spatial structure consisting of co-location and repulsive-location in the central district.
Year
DOI
Venue
2022
10.1080/13658816.2021.1976409
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Keywords
DocType
Volume
Network spatial analysis, point pattern analysis, Ripley's K function, GIS, economic geography
Journal
36
Issue
ISSN
Citations 
4
1365-8816
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Wataru Morioka100.34
Atsuyuki Okabe200.34
Mei-Po Kwan333645.13
Sara L. McLafferty400.34