Consumer and Producer Behavior in a Multipurpose Shopping Environment

This paper analyzes the shopping behavior of consumers across space within the context of multipurpose shopping. The degree of multipurpose shopping is derived, as are the optimal number of single- and multipurpose trips, and the quantities of high- and low-order goods purchased on such trips. It is shown that all consumer choice variables are a function of consumer location relative to producer location. The consumer analysis is then utilized as an input into the profit-maximizing equation that determines optimal producer location. The model is illustrated through the use of numerical analysis.     

An Assessment of the Space-Time Differential Model for Aggregate Trip Behavior to Planned Suburban Shopping Centers

Aggregate trip behavior to planned suburban shopping centers is studied in terms of changes in trip distance and shopping time within a framework of trip frequency, center scale, and consumer mobility. Such changes are expressed by a second-order differential equation. The assumed shopping strategy is that consumers accelerate the shopping trip cycle by minimizing trip distances. This can be solved to provide theoretical norms to assess against an exploratory data set compiled from 2,810 surveys undertaken in 1980/82 and 1988/89 over a range of centers. The analysis shows a significant relationship between the gravity coefficient and trip frequency. The samples are tested for periodicity using Fourier analysis. The results show that “small” centers are more likely to exhibit periodic behavior. “Large” centers do not follow this hypothesis. Both the gravity coefficient and trip frequency are shown to be quadratic functions of center size. The nonlinearity may be introduced by the agglomeration of shopping opportunities at larger centers. A critical value for “small-” and “large-”center behavior is determined from the minimum points of these distributions. A second equation from classical diffusion analysis is tested for “large” center behavior, where consumers accelerate spatial choice through a time minimization strategy. The results suggest that this strategy occurs at the midrange specialty center during the afternoon of the pre-Christmas rush rather than at large regional centers. The empirical characteristics of the three types of trip behavior are summarized.     

A Micro-Econometric Store Choice Model Incorporating Multi- and Omni-Channel Shopping: The Case of Furniture Retailing in Germany

Online retailing and multi-/omni-channel shopping are gaining in importance. However, there is a significant lack of research focused on incorporating online shopping into models of spatial shopping behavior. The present study aims (1) to construct a store choice model which includes both physical and online stores as well as the opportunity for omni-channel shopping, and (2) to identify the main drivers of spatial shopping behavior given the availability of both channels. Based on a representative survey, this study employs a revealed-preference approach toward store choice and expenditures in furniture retailing. The statistical analysis is performed using a hurdle model approach, with the expenditures of individual consumers at (online or physical) furniture stores serving as the dependent variable. Results show that channel choice (online vs. offline) is mainly influenced by psychographic characteristics, place of residence, and age of the consumers. Store choice and expenditures are primarily explained by store features such as assortment size, omni-channel integration, and accessibility. This study demonstrates that e-shopping can be integrated into a store choice model and that both the modeling approach and the subsequent findings are of significance for retail companies and spatial planning.     

跨文化旅游者消费行为研究综述

近年来,随着旅游活动全球化的发展,跨文化旅游者的消费模式成为旅游学界关注的热点问题。本文通过国内外实证研究的文献检索,对不同文化背景的旅游者在旅游决策与信息搜集、旅游动机与偏好、客主交往、服务质量评估等方面的消费行为与特征进行述评,最后概括我国学术界的相关研究,并对今后的研究方向提出建议。     

Shopping Centre Siting and Modal Choice in Belgium: A Destination-Based Analysis

Abstract

Although modal split is only one of the elements considered in decision-making on new shopping malls, it remarkably often arises in the arguments of both proponents and opponents. Today, this is also the case in the debate on the planned development of three major shopping malls in Belgium. Inspired by such debates, the present study focuses on the impact of the location of shopping centres on the travel mode choice of the customers. Our hypothesis is that destination-based variables such as embeddedness in the urban fabric, accessibility and mall size influence the travel mode choice of the visitors. Based on modal split data and location characteristics of 17 existing shopping centres in Belgium, we develop a model for a more sustainable siting policy. The results show a major influence of the location of the shopping centre in relation to the urban form, and of the size of the mall. Shopping centres that are part of a dense urban fabric, measured through population density, are less car dependent. Smaller sites will attract more cyclists and pedestrians. Interestingly, our results deviate significantly from the figures that have been put forward in public debates on the shopping mall issue in Belgium.     

Body Shopping: Reconfiguring geographies of fitness

This article critically interrogates the representational politics implicated in the metaphorical and material production of geographies of embodied fitness. It is intended as a contribution to the growing critical appreciation of the ways in which humans and non-humans are worked together in the production and reproduction of cyborg or hybrid geographies. It therefore mobilises the word fitness in the literal sense of a bodily state, but also in the metaphorical sense of how diverse 'things' come to fit together, how collections of bodies and machines come to be intelligible as inhabitable worlds. But, importantly, this article also argues that this sort of analysis is inadequate if it fails to engage with the ways that the production of human-machinic hybrids is also bound up in the enactment of geographies of ontological purity, a purity that is diffracted, at least in part, through categories such as gender and race. To illustrate this, the paper briefly outlines the ways in which the fitness equipment manufacturer NordicTrack attempts to produce geographies of fitness. Specifically, it suggests that while these geographies muddy the clarity of the boundaries between categories such as male/female, human/non-human, nature/culture, at the same time they work as forces of purification, subtly and not so subtly reinforcing these very same dualisms.     

A Unified Model for Dispersing Facilities

One of the important classes of facility dispersion problems involves the location of a number of facilities where the intent is to place them as far apart from each other as possible. Four basic forms of the p‐facility dispersion problem appear in the literature. Erkut and Neuman present a classification system for these four classic constructs. More recently, Curtin and Church expanded upon this framework by the introduction of “multiple types” of facilities, where the dispersion distances between specific types are weighted differently. This article explores another basic assumption found in all four classic models (including the multitype facility constructs of Curtin and Church): that dispersion is accounted for in terms of either distance to the closest facility or distances to all facilities (from a given facility), whether applied to a single type of facility or across a set of facility types. In reality, however, measuring dispersion in terms of whether neighboring facilities to a given facility are dispersed rather than whether all facilities are dispersed away from the given facility often makes more sense. To account for this intermediate measure of dispersion, we propose a construct called partial‐sum dispersion. We propose four “partial‐sum” dispersion problem forms and show that these are generalized forms of the classic set of four models codified by Erkut and Neuman. Further, we present a unifying model that is a generalized form of all four partial‐sum models as well as a generalized form of the original four classic model constructs. Finally, we present computational experience with the general model and conclude with a few examples and suggestions for future research. Una de las clases importantes dentro de los problemas de dispersión de instalaciones de servicios/infraestructura es el caso en el que la localización de un número de instalaciones debe cumplir la condición de maximizar la distancia entre cada par. La literatura especializada cita cuatro formas básicas del problema de dispersión llamados tipo p‐instalación (p‐facility) (Shier 1977; Luna y Chaudhry 1984; Kuby 1987; Erkut y Neuman, 1991). Erkut y Neuman (1991) presentan un sistema de clasificación para estas cuatro formas clásicas. Recientemente, Curtin e Iglesia (2006) ampliaron este marco metodológico al incorporar múltiples tipos de instalaciones, permitiendo que las distancias de dispersión entre diferentes tipos específicos de instalaciones sean ponderadas de manera diferente. El artículo presente explora otro supuesto básico que se encuentra en los cuatro modelos clásicos (y las modifcaciones para acomodar instalaciones multi‐tipo de Curtin e Iglesia): la dispersión es cuantificada en términos de la distancia entre una instalación dada y la instalación más cercana, o entre una instalación dada y la totalidad de las instalaciones. Este supuesto se mantiene si las distancias son aplicadas a un solo tipo de instalación o a múltiples tipos de instalaciones. Sin embargo, en realidad, tiene más sentido medir la dispersión en relación a las instalaciones vecinas, en vez de en relación a la totalidad las instalaciones. Para incorporar esta realidad a un nuevo tipo de medida intermedia de dispersión, se propone una medida llamada dispersión de suma parcial (partial‐sum dispersion). Proponemos cuatro tipos de problemas de dispersión de tipo parcial‐sum y demostramos que éstas son formas generalizadas de los cuatro modelos clásicos presentados por Erkut y Neuman (1991). Además, se presenta un modelo unificado que es una forma generalizada de los cuatro modelos tipo partial‐sum, así como una forma generalizada de las cuatro tipos en el modelo clásico. Por último, se presenta los resultados de pruebas computacionales usando el modelo general y se concluye con algunos ejemplos y sugerencias para investigaciones futuras. 设施分散问题中重要的一类是大量设施的布局,其意图是将它们在空间上尽可能离得更远。目前文献中主要讨论了4种基本形式(Shier 1977; Moon and Chaudhry 1984; Kuby 1987; Erkut and Neuman 1991)。Erkut and Neuman (1991)提出了这4种经典结构的一种分类系统。Curtin and Church (2006)引入设施“多种类型”对上述分类框架进行拓展,在特定类别之间的分散距离的权重存在不同。本文探索了在4种经典模型中所发现的另一种基本假设（包含Curtin and Church的多种类型设施结构）：无论是在单一类型设施或包括多种类型设施中,分散度在解释某一给定设施到最近设施的距离或到所有设施的距离方面都是合理的。然而,在现实中设施分散度度量方面,测量某一给定设施的邻近设施的分散度特征相比于测量给定设施的所有其他设施的散布特征通常更有意义。为解释这种分散度的中间度量,本文提出了一种称为“局部和整体”的结构,包括4种分散问题形式,它们是Erkut and Neuman 4种传统类型的广义形式。本文进而提出了一个统一模型,即所有 “局部和整体”模型和经典类型结构一种广义形式。最后,对统一模型进行了计算检验,并基于几个实证进行了总结,还提出了未来的研究建议。     

A Model of Contiguity for Spatial Unit Allocation

We consider a problem of allocating spatial units (SUs) to particular uses to form "regions" according to specified criteria, which is here called "spatial unit allocation." Contiguity—the quality of a single region being connected—is one of the most frequently required criteria for this problem. This is also one that is difficult to model in algebraic terms for algorithmic solution. The purpose of this article is to propose a new exact formulation of contiguity that can be incorporated into any mixed integer programming model for SU allocation. The resulting model guarantees to enforce contiguity regardless of other included criteria such as compactness. Computational results suggest that problems involving a single region and fewer than about 200 SUs are optimally solved in fairly reasonable time, but that larger problems must rely on heuristics for approximate solutions. It is also found that a problem of any size can be formulated in a more tractable form when a fixed number of SUs are to be selected or when a certain SU is selected in advance.