IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v26y1994i3p383-405.html
   My bibliography  Save this article

Probability-Based Models of Spatial Search

Author

Listed:
  • H J Miller

    (Department of Geography, University of Utah, Salt Lake City, 84112 UT, USA)

Abstract

The author develops and explores probability-based decision strategies for the consumer spatial search problem. These strategies extend experimental and analytical work in psychology on repeated choice among alternatives with varying reinforcement rates. Normative models postulate that the searcher attempts to maximize the frequency with which the lowest acquisition cost will be achieved over a multiple-trip horizon. A behavioral model postulates that the searcher maximizes the frequency with which the maximum utility will be achieved over a multiple-trip horizon. These models encompass a wide range of behavioral factors, including the perceived travel cost, decision foresight, learning, price motivation, and risk attitudes. Sensitivity experiments conducted with the models establish their basic characteristics and assess the influence of these behavioral factors on the spatial search process.

Suggested Citation

  • H J Miller, 1994. "Probability-Based Models of Spatial Search," Environment and Planning A, , vol. 26(3), pages 383-405, March.
  • Handle: RePEc:sae:envira:v:26:y:1994:i:3:p:383-405
    DOI: 10.1068/a260383
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a260383
    Download Restriction: no

    File URL: https://libkey.io/10.1068/a260383?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Goldman, Arieh & Johansson, J K, 1978. "Determinants of Search for Lower Prices: An Empirical Assessment of the Economics of Information Theory," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(3), pages 176-186, December.
    2. Brucks, Merrie, 1988. "Search Monitor: An Approach for Computer-Controlled Experiments Involving Consumer Information Search," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(1), pages 117-121, June.
    3. Kagel, John H, et al, 1975. "Experimental Studies of Consumer Demand Behavior Using Laboratory Animals," Economic Inquiry, Western Economic Association International, vol. 13(1), pages 22-38, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yamamoto, Toshiyuki & Li, Cheng & Morikawa, Takayuki, 2014. "An empirical analysis of the factors raising the interest in new shopping destinations," Journal of Retailing and Consumer Services, Elsevier, vol. 21(6), pages 950-957.

    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. Rami Zwick & Amnon Rapoport & Alison King Chung Lo & A. V. Muthukrishnan, 2003. "Consumer Sequential Search: Not Enough or Too Much?," Marketing Science, INFORMS, vol. 22(4), pages 503-519, October.
    2. Namwoon Kim & Jin K. Han & Rajendra K. Srivastava, 2002. "A Dynamic IT Adoption Model for the SOHO Market: PC Generational Decisions with Technological Expectations," Management Science, INFORMS, vol. 48(2), pages 222-240, February.
    3. Kaushik Basu, 2009. "How Sapient is Homo Economicus? The Evolutionary Origins of Trade, Ethics and Economic Rationality," Working Papers id:2240, eSocialSciences.
    4. Martin Spann & Bernd Skiera & Björn Schäfers, 2005. "Reverse-Pricing-Verfahren und deren Möglichkeiten zur Messung von individuellen Suchkosten und Zahlungsbereitschaften," Schmalenbach Journal of Business Research, Springer, vol. 57(2), pages 107-128, March.
    5. Jeffrey K. Sarbaum & Solomon W. Polachek & Norman E. Spear, 1999. "The Effects of Price Changes on Alcohol Consumption in Alcohol-Experienced Rats," NBER Chapters, in: The Economic Analysis of Substance Use and Abuse: An Integration of Econometric and Behavioral Economic Research, pages 75-102, National Bureau of Economic Research, Inc.
    6. Jack Hirshleifer, 1978. "Natural Economy Versus Political Economy," UCLA Economics Working Papers 114, UCLA Department of Economics.
    7. Deirdre Nansen McCloskey, 2019. "Lachmann practiced humanomics, beyond the dogma of behaviorism," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 32(1), pages 47-61, March.
    8. Frankel, David M., 1998. "A Pecuniary Reason for Income Mixing," Journal of Urban Economics, Elsevier, vol. 44(1), pages 158-169, July.
    9. Bertrand Kian Hassani & Yacoub Bahini, 2022. "Relationships between ESG Disclosure and Economic Growth: A Critical Review," JRFM, MDPI, vol. 15(11), pages 1-23, November.
    10. Binkley, James K. & Bejnarowicz, John, 1999. "Consumer Price Awareness In Food Shopping: The Case Of Quantity Surcharges," 1999 Annual meeting, August 8-11, Nashville, TN 21512, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. DeSarbo, Wayne S. & Choi, Jungwhan, 1998. "A latent structure double hurdle regression model for exploring heterogeneity in consumer search patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 423-455, November.
    12. Rami Zwick & Amnon Rapoport & Alison King Chung Lo & A. V. Muthukrishnan, 2001. "Consumer Search: Not Enough Or Too Much?," Experimental 0110002, University Library of Munich, Germany.
    13. Madhavan-Nambiar, Padmanand & Florkowski, Wojciech & Chinnan, Manjeet & Ressurrecion, Anna, 2015. "Shopping outlet choice and frequency in urban areas of the Republic of Uganda," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196821, Southern Agricultural Economics Association.
    14. Girish Punj, 2013. "Do consumers who conduct online research also post online reviews? A model of the relationship between online research and review posting behavior," Marketing Letters, Springer, vol. 24(1), pages 97-108, March.
    15. Allen, Roy & Dziewulski, Paweł & Rehbeck, John, 2022. "Making sense of monkey business: Re-examining tests of animal rationality," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 220-228.
    16. M. Keith Chen & Venkat Lakshminarayanan & Laurie Santos, 2005. "The Evolution of Our Preferences: Evidence from Capuchin-Monkey Trading Behavior," Cowles Foundation Discussion Papers 1524, Cowles Foundation for Research in Economics, Yale University.
    17. Yiting Chen & Tracy Xiao Liu & You Shan & Songfa Zhong, 2023. "The emergence of economic rationality of GPT," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 120(51), pages 2316205120-, December.
    18. Frankel, David M. & Gould, Eric D., 2001. "The Retail Price of Inequality," Journal of Urban Economics, Elsevier, vol. 49(2), pages 219-239, March.
    19. Urban, Glen L., 1996. "Validation and lessons from the field : applications of information acceleration," Working papers #141-96. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    20. Tan, Pei Jie & Tanusondjaja, Arry & Corsi, Armando & Lockshin, Larry & Villani, Christopher & Bogomolova, Svetlana, 2021. "Behavioural and psychographic characteristics of supermarket catalogue users," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).

    More about this item

    Statistics

    Access and download statistics

    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:sae:envira:v:26:y:1994:i:3:p:383-405. 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: SAGE Publications (email available below). General contact details of provider: .

    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.