IDEAS home Printed from https://ideas.repec.org/a/rom/terumm/v10y2015i1p25-42.html
   My bibliography  Save this article

Spatial Analysis Of Consumer Behavior In A Food Products Market

Author

Listed:
  • Rafael SuArez VEGA

    (Departamento de Métodos Cuantitativos en Economia y Gestión, Instituto Universitario de Turismo y Desarrollo Económico Sostenible (Tides))

  • José Luis Gutiérrez ACUNA

    (Departamento de Economia y Dirección de Empresas Universidad de Las Palmas de Gran Canaria-Spain)

  • Manuel Rodriguez DiAZ

    (Instituto Universitario de Turismo y Desarrollo Económico Sostenible (Tides) Departamento de Economia y Dirección de Empresas)

Abstract

Market is a spatial reality characterized by two factors influencing the demand: the distribution system and the geographic component of the market. The aim of this article is to analyze the spatial behavior of consumer food products within a geographic market area including two different zones: urban and rural. Academic literature has developed several models based on the distance and the size of the store, as the basic but not unique variables that explain consumer behavior in retailing. This paper deals empirically with these postulates to verify if, at present time, they continue to be effective in the grocery sector, and to develop a framework to analyze the market from a geographic perspective. Telephone surveys were carried out to determine the degree of attractiveness of the stores, coming to the conclusion that in the geographic scope studied a substantial change had taken place in the behavior of the consumers of food products. The study demonstrates that attraction increases with proximity and the fact that the large size of the stores is no longer decisive in the buying decision. It also analyzes the best dimension range for the retailers. The results obtained represent a spatial restructuring of the demand that has effects in companies’ strategies, urban planning, geomarketing and location decisions applied to consumers and retailers of food products.

Suggested Citation

  • Rafael SuArez VEGA & José Luis Gutiérrez ACUNA & Manuel Rodriguez DiAZ, 2015. "Spatial Analysis Of Consumer Behavior In A Food Products Market," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 10(1), pages 25-42, February.
  • Handle: RePEc:rom:terumm:v:10:y:2015:i:1:p:25-42
    as

    Download full text from publisher

    File URL: https://um.ase.ro/no101/3.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dellaert, B.G.C. & Arentze, T. & Bierlaire, M. & Borgers, A. & Timmermans, H.J.P., 1997. "Investigating consumers' tendency to combine multiple shopping purposes and destinations," Discussion Paper 1997-94, Tilburg University, Center for Economic Research.
    2. Kirthi Kalyanam & Daniel S. Putler, 1997. "Incorporating Demographic Variables in Brand Choice Models: An Indivisible Alternatives Framework," Marketing Science, INFORMS, vol. 16(2), pages 166-181.
    3. Chandra Bhat & Ram Pendyala, 2005. "Modeling intra-household interactions and group decision-making," Transportation, Springer, vol. 32(5), pages 443-448, September.
    4. Karthik Srinivasan & Sudhakar Athuru, 2005. "Analysis of within-household effects and between-household differences in maintenance activity allocation," Transportation, Springer, vol. 32(5), pages 495-521, September.
    5. Amparo Baviera-Puig & Juan Buitrago-Vera & José Enrique Rodríguez-Barrio, 2013. "Un modelo de geomarketing para la localización de supermercados: diseño y aplicación práctica," DOCFRADIS Working Papers 1301, Catedra Fundación Ramón Areces de Distribución Comercial, revised Mar 2013.
    6. Wang, Donggen & Li, Jiukun, 2009. "A model of household time allocation taking into consideration of hiring domestic helpers," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 204-216, February.
    7. John Gliebe & Frank Koppelman, 2002. "A model of joint activity participation between household members," Transportation, Springer, vol. 29(1), pages 49-72, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ferdous, Nazneen & Eluru, Naveen & Bhat, Chandra R. & Meloni, Italo, 2010. "A multivariate ordered-response model system for adults' weekday activity episode generation by activity purpose and social context," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 922-943, September.
    2. Sarangi, Punyabeet & Manoj, M., 2022. "Task-allocation among adult household members by activity purpose and accompanying person," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 246-266.
    3. Hu, Yang & van Wee, Bert & Ettema, Dick, 2023. "Intra-household decisions and the impact of the built environment on activity-travel behavior: A review of the literature," Journal of Transport Geography, Elsevier, vol. 106(C).
    4. Yao, Mingzhu & Wang, Donggen & Yang, Hai, 2017. "A game-theoretic model of car ownership and household time allocation," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 667-685.
    5. André de Palma & Nathalie Picard & Ignacio Inoa, 2014. "Discrete choice decision-making with multiple decision-makers within the household," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 16, pages 363-382, Edward Elgar Publishing.
    6. Chinh Ho & Corinne Mulley, 2015. "Intra-household interactions in transport research: a review," Transport Reviews, Taylor & Francis Journals, vol. 35(1), pages 33-55, January.
    7. Ho, Chinh & Mulley, Corinne, 2015. "Intra-household Interactions in tour-based mode choice: The role of social, temporal, spatial and resource constraints," Transport Policy, Elsevier, vol. 38(C), pages 52-63.
    8. Hejun Kang & Darren Scott, 2011. "Impact of different criteria for identifying intra-household interactions: a case study of household time allocation," Transportation, Springer, vol. 38(1), pages 81-99, January.
    9. Hejun Kang & Darren Scott, 2008. "An integrated spatio-temporal GIS toolkit for exploring intra-household interactions," Transportation, Springer, vol. 35(2), pages 253-268, March.
    10. Wang, Donggen & Li, Jiukun, 2009. "A model of household time allocation taking into consideration of hiring domestic helpers," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 204-216, February.
    11. Nathalie Picard & Andre de Palma & Sophie Dantan, 2013. "Intra-Household Discrete Choice Models Of Mode Choice And Residential Location," Articles, International Journal of Transport Economics, vol. 40(3).
    12. André de Palma & Nathalie Picard & Robin Lindsey, 2021. "Activity and Transportation Decisions within Households," THEMA Working Papers 2021-18, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    13. Nathalie Picard & André de Palma & Ignacio Inoa, 2014. "Intra-household Decision Models of Residential and Job Location," Working Papers hal-00964351, HAL.
    14. Huai, Yue & Lo, Hong K. & Ng, Ka Fai, 2021. "Monocentric versus polycentric urban structure: Case study in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 99-118.
    15. Guan, Xiaodong & Wang, Donggen, 2019. "Influences of the built environment on travel: A household-based perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 710-724.
    16. Yan, Qianqian & Feng, Tao & Timmermans, Harry, 2023. "A model of household shared parking decisions incorporating equity-seeking household dynamics and leadership personality traits," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    17. Lin, Tao & Wang, Donggen, 2014. "Social networks and joint/solo activity–travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 18-31.
    18. Chandra Bhat & Konstadinos Goulias & Ram Pendyala & Rajesh Paleti & Raghuprasad Sidharthan & Laura Schmitt & Hsi-Hwa Hu, 2013. "A household-level activity pattern generation model with an application for Southern California," Transportation, Springer, vol. 40(5), pages 1063-1086, September.
    19. Liu, Yang & Ji, Yanjie & Shi, Zhuangbin & He, Baohong & Liu, Qiyang, 2018. "Investigating the effect of the spatial relationship between home, workplace and school on parental chauffeurs’ daily travel mode choice," Transport Policy, Elsevier, vol. 69(C), pages 78-87.
    20. Kato, Hironori & Matsumoto, Manabu, 2009. "Intra-household interaction in a nuclear family: A utility-maximizing approach," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 191-203, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rom:terumm:v:10:y:2015:i:1:p:25-42. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Colesca Sofia (email available below). General contact details of provider: https://edirc.repec.org/data/ccasero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.