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Gravity Modeling and its Impacts on Location Analysis

In: Foundations of Location Analysis

Author

Listed:
  • Lawrence Joseph

    (Arizona State University)

  • Michael Kuby

    (Arizona State University)

Abstract

Throughout the 20th century, geographers have developed a variety of models that assist public and private entities in locating facilities from factories to emergency services. In the area of retail location analysis, the early gravity models of geographers William J. Reilly and David L. Huff played a pioneering role in delineating retail trade areas and modeling many other kinds of spatial interaction. Their fundamental insight was that customers do not necessarily shop at the closest store, but patronize locations in proportion to the attractiveness of the retail centers and in inverse proportion to their distance. In this chapter, we elucidate the early history, structure, and significance of these models.

Suggested Citation

  • Lawrence Joseph & Michael Kuby, 2011. "Gravity Modeling and its Impacts on Location Analysis," International Series in Operations Research & Management Science, in: H. A. Eiselt & Vladimir Marianov (ed.), Foundations of Location Analysis, chapter 0, pages 423-443, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-7572-0_18
    DOI: 10.1007/978-1-4419-7572-0_18
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    Citations

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    Cited by:

    1. KC, Kiran & Corcoran, Jonathan & Chhetri, Prem, 2020. "Measuring the spatial accessibility to fire stations using enhanced floating catchment method," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    2. Pengfei Ban & Wei Zhan & Qifeng Yuan & Xiaojian Li, 2021. "Delineating the Urban Areas of a Cross-Boundary City with Open-Access Data: Guangzhou–Foshan, South China," Sustainability, MDPI, vol. 13(5), pages 1-17, March.
    3. Mahama-Musah, Fuseina & Schoutteet, Penelope & Vanhaverbeke, Lieselot, 2021. "Using online data for offline decisions: A geostatistical approach for evaluating the patronage potential of a baby-care retailer," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    4. Dolega, Les & Pavlis, Michalis & Singleton, Alex, 2016. "Estimating attractiveness, hierarchy and catchment area extents for a national set of retail centre agglomerations," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 78-90.
    5. Bruno, Giuseppe & Esposito, Emilio & Genovese, Andrea & Piccolo, Carmela, 2016. "Institutions and facility mergers in the Italian education system: Models and case studies," Socio-Economic Planning Sciences, Elsevier, vol. 53(C), pages 23-32.
    6. Mete Başar Baypınar & Cem Beygo & Gökalp Köseoğlu & Elifsu Şahin & Burcu Aksoy Sertbakan, 2023. "A Quantitative Spatial Exploratory Analysis on Fast Consumer Goods, Shopping Trips, and Discount Supermarket Revenues: The Case of Istanbul," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(38), pages 171-198, June.
    7. Lin, Ting (Grace) & Xia, Jianhong (Cecilia) & Robinson, Todd P. & Olaru, Doina & Smith, Brett & Taplin, John & Cao, Buyang, 2016. "Enhanced Huff model for estimating Park and Ride (PnR) catchment areas in Perth, WA," Journal of Transport Geography, Elsevier, vol. 54(C), pages 336-348.

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