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• W2992704065 abstract "1. INTRODUCTION Retail location and its implications in the consumer behavior and demand flows have been widely studied in marketing, urban planning and geomarketing, and as a consequence, different location models have been formulated. These are divided into those that follow the Reilly (1931) and Converse (1949) deterministic approach (Applebaum and Cohen, 1961; Christaller, 1935; Losch, 1954; Jones and Mock, 1984; Kohsaka, 1992) or probabilistic approach (Huff, 1964; McFadden, 1974, 1977; Fotheringham, 1983; Fotheringham and O'Kelly, 1989). However, these models have not been considered from the perspective to contribute to the study and accomplishment of the urban planning of the cities, nor have been developed either to the point to enter in an integrated process of macro and micro-location. What is more, it is generally accepted to treat them as econometric models where certain explanatory variables of the process of decision making of the consumers are analyzed, but without connecting the determination of the capacities of attraction with the economic and environmental viability, as well as with the design of the commercial supply that is required to obtain the enterprise and social objectives. The buying behavior of the consumers has also been studied taking into account the shopping trips, being carried out different studies on the dynamic models from election behavior (Timmermans and Borgers, 1989), the tendencies of the clients (Dellaert, et al. 1998) as well as shopping activity-based transport studies (Bhat and Pendyala, 2005; Gliebe and Koppelman, 2002, 2005; Zhang, et al. 2002, 2004; Srinivasan and Athuru, 2005; Wang and Li, 2009). In urban planning, location plays a core role as it has been demonstrated that commerce has a great potential to generate a coherent urban plan (Lowe, 2000), facilitates the process of decentralization of the cities (Schiller, 1986; Fernie, 1995), contributes to the competitiveness of the cities (Warnaby, 1998) and generates economic activity (Jackson and Watkins, 2005). The competitiveness of the cities is based on urban planning (Beg, 1999; Van den Berg and Braun, 1999), where marketing plays a significant role in structuring the capacities of the cities (Bramezza, 1996). At the same time, the decentralization process that certain cities have been experienced has caused multiple effects that affect the commercial urban planning, such as urban regeneration (Elizagarate, 2006; Lowe, 2005) and Town Center revitalization (Forsberg, Medway and Warnaby, 1999; Ravenscroft, 2000; Thomas and Bromley, 2003). It has caused a new reconsideration of the cities (Uduku, 1999) and the Town Centre (Schiller, 1994; Page and Hardyman, 1996). In this context, Schiller (1986), Fernie (1995) and Warnaby (1998) have shown that this decentralization process has been planned in many occasions based on different retail strategies. A specific discipline called geomarketing has been developed within marketing. According to Latour and Him Floc' h (2001), geomarketing consists of a system integrated by data, computer programs, statistical methods and graphical representations designed to produce useful information for decision making, through instruments that combine digital cartography, charts and tables. Baviera-Puig, et al. (2013) defined the geomarketing as the discipline that uses the GIS as an instrument for the analysis and decision making within the market, with the objective to satisfy the necessities and desires of the consumers as well as to accomplish the profitability of the company. The main actors that integrate the market are the demand and the supply as well as all the elements of the surroundings that affect them. With regard to the demand, the potential of the local market and the capacity of purchase depend on the demographic characteristics of the influence area (Johnson, 1989; Mulhern and Williams, 1994; Grewal et al., 1999). According to Johnson (1989), the geodemographic characteristics constitute the classification of the people according to the type of neighborhood they live in instead of the conventional socioeconomic criterion, such as income or social class (Bearden et al. …" @default.
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• W2992704065 title "Spatial Analysis of Consumer Behavior in a Food Products Market" @default.
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