Modeling Shopping Center Location Choice : Shopper Preference-Based Competitive Location Model

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

6 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Article number04018047
Journal / PublicationJournal of Urban Planning and Development
Volume145
Issue number1
Online published24 Nov 2018
Publication statusPublished - Mar 2019

Abstract

The location of a shopping center is important for its future development. However, specific models for shopping center location selection were rarely examined in previous studies. This paper proposes a shopper preference-based competitive location model (SPCLM) to solve the location problem for shopping centers. Five attractive attributes are identified for model construction: size, diversity of the tenant inside the shopping center, retail agglomeration near the shopping center, distance to metro stations, and distance between consumers and shopping center. The parameters of the five variables are calibrated using four sample areas of Hong Kong. To benchmark the improvement of the model, an existing model from the literature is also calibrated for comparison. Furthermore, an onsite survey is carried out to validate the resulted optimal location of both SPCLM and the model from the literature. The results show that the optimal locations predicted by SPCLM have higher pedestrian flow rates than do the optimal location predicted by the model from the literature and the real locations of the existing shopping center. As a result, the proposed model significantly improves the prediction accuracy. Thus, it is a useful tool for both retail and community development.

Research Area(s)

  • Diversity index, Location selection, Retail agglomeration index, Shopper preference-based competitive location model (SPCLM), Shopping center