In:
ISPRS International Journal of Geo-Information, MDPI AG, Vol. 11, No. 5 ( 2022-05-16), p. 314-
Abstract:
Spatial information analysis has gained increasing attention in recent years due to its wide range of applications, from disaster prevention and human behavioral patterns to commercial value. This study proposes a novel application to help businesses identify optimal locations for new stores. Optimal store locations are close to other stores with similar customer groups. However, they are also a suitable distance from stores that might represent competition. The style of a new store also exerts a significant effect. In this paper, we utilized check-in data and user profiles from location-based social networks to calculate the degree of influence of each store in a road network on the query user to identify optimal new store locations. As calculating the degree of influence of every store in a road network is time-consuming, we added two accelerating algorithms to the proposed baseline. The experiment results verified the validity of the proposed approach.
Type of Medium:
Online Resource
ISSN:
2220-9964
DOI:
10.3390/ijgi11050314
Language:
English
Publisher:
MDPI AG
Publication Date:
2022
detail.hit.zdb_id:
2655790-3
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