Retail Gravitational Models: A Review with Implications for Further Research

Wee, Chow Hou; Pearce, Michael R.

doi:10.1007/978-3-319-16973-6_64

Cited by 4 publications

(1 citation statement)

References 21 publications

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“…In this framework, it is suggested that the utility of a facility is positively correlated to its size and negatively related to its distance [11,22,39,41,44,52]. Huff's probabilistic model of retail gravitation has been considered as one of the most widely used models in retail location studies [53,54]. In the framework of spatial interaction theory, by including a set of other attractiveness variables along with size, Nakanishi and Cooper (1974) [55] extended Huff's model and proposed the multiplicative competitive interaction (MCI) model.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey

Erdin

Akbaş

2019

Sustainability

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Multi-criteria decision-making (MCDM) techniques are increasingly being used for the problem of location selection, which directly affects the long-term success of a company. Besides these techniques, with the advantage of handling both spatial and non-spatial data, geographic information systems (GIS) also represent a useful method for selecting the appropriate location for different kinds of facilities and sites. In this respect, this study aims to compare the results of a MCDM technique, fuzzy technique for order preference by similarity to ideal solution (TOPSIS), and GIS for the location selection of shopping malls in Turkey. According to the results of both fuzzy TOPSIS and GIS, the Marmara region was determined as the best alternative for shopping malls in Turkey.Sustainability 2019, 11, 3837 2 of 22 sense, it can be easily said that location selection represents a typical multi-criteria decision-making (MCDM) problem [3][4][5][9][10][11].As an advanced and a widely used subdiscipline of operations research, MCDM basically represents a decision-making technique that can be used to evaluate a number of alternatives by taking into account multiple and usually conflicting criteria that may be quantitative or qualitative, and aims to provide support to the decision maker for making the choice between alternatives [9,[12][13][14]. In this framework, MCDM can be defined as the process of evaluating alternatives for the purpose of selection or ranking via utilizing a number of qualitative and/or quantitative criteria that have different measurement units [15].MCDM involves a set of techniques such as min-max, max-min, ELECTRE, PROMETHEE, TOPSIS, fuzzy TOPSIS, compromise programming, analytic hierarchy process (AHP), fuzzy AHP, data envelopment analysis, and goal programming, that can be used for comparing and prioritizing multiple alternatives and finally selecting the best-fit choice [16]. Among these techniques, for the solutions to location problems that contain vague and incomplete data and linguistic variables, fuzzy decision-making techniques have been attracting growing attention [12,17].On the other hand, it should be stated that these techniques are not suitable for spatial data [18]. In this context, with the advantage of handling both spatial and non-spatial data, geographic information systems (GIS) have been applied for solving location problems [18][19][20]. GIS represent computer-based tools that can be used for maintaining, managing, integrating and analyzing spatial data from different sources. GIS allow us to store, edit, manipulate and analyze geographically referenced data to generate interpretive maps and related statistics relevant for decision making [11,14,21]. In this sense, one could say that although MCDM and GIS have developed independently, they actually support one another and their combination generates more useful and reliable information that makes it possible to reach accurate decisions, especially in the case of location selection [11,14,22].Starting from this point of view, thi...

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Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey

Erdin

Akbaş

2019

Sustainability

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Convolutional Gravitational Models for Economic Exchanges: Mathematical Extensions for Dynamic Processes and Knowledge Flows

Teodorescu

2018

Advances in Intelligent Systems and Computing

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The Gravity Model of trade is a regression model for exchanges between countries. The model comprises a measure of exchange as its dependent variable, a measure of mass for each of the two exchanging parties, and a distance. Typically, the dependent variable represents exports, the measures of mass are the GDPs of two countries, and the distance is geographical distance. The analysis in this paper yields a number of simplifying assumptions, which if relaxed may yield a stronger model. The paper focuses on knowledge flows as measured through citations as a use case of a new convolutional gravitational model, which includes an element of delay in between the production of a good and its acquisition. The convolutional model further extends the concept of a distance between two entities to include a measure of affinity. These extensions clarify some limits of the basic model and conditions when it is appropriate.

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Consumers choice of small independent specialty stores in shopping centers during weekday extended trading hours: A qualitative study

Khangembam

2023

Cogent Business & Management

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Retail Gravitational Models: A Review with Implications for Further Research

Cited by 4 publications

References 21 publications

A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey

A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey

Convolutional Gravitational Models for Economic Exchanges: Mathematical Extensions for Dynamic Processes and Knowledge Flows

Consumers choice of small independent specialty stores in shopping centers during weekday extended trading hours: A qualitative study

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