The DOI matches its Crossref record.
A Dynamic Model of Growth in a Central Place System
Abstract
A model is developed in which the change in the population distribution of a region is linked to the employment pattern, and this latter in turn to the population distribution through the concepts of central place theory. The result is a dynamic model of interacting urban centers in which the fluctuations (the exact history) of the system play a vital role, and with which the effect of an infrastructure decision can be estimated in the long term.
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Citations
Cited by
The Location of Interacting Hub Facilities
O'Kelly, M. E. (1986) · Transportation Science · doi:10.1287/trsc.20.2.92 · Cited by 631
Physics and social science — The approach of synergetics
Weidlich, W. (1991) · Physics Reports · doi:10.1016/0370-1573(91)90024-g · Cited by 294
Entropy in Urban and Regional Modelling: Retrospect and Prospect. 城市和区域建模中的熵：回顾与展望
Wilson, A. (2010) · Geographical Analysis · doi:10.1111/j.1538-4632.2010.00799.x · Cited by 147
Integrated models of land use and transportation for the autonomous vehicle revolution
Hawkins, J., & Nurul Habib, K. (2019) · Transport Reviews · doi:10.1080/01441647.2018.1449033 · Cited by 106
Metadata
- Authors
- Allen, P. M., & Sanglier, M.
- Venue
- Geographical Analysis
- Publisher
- Wiley
- Published
- 1979-07
- Volume
- 11
- Issue
- 3
- Pages
- 256-272
- ISSN
- 0016-7363 (ISSN-L)
- 1538-4632
- OpenAlex
- W2036377794
- Cited by
- 232
- References
- 0
- FWCI
- 19.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A Dynamic Model of Growth in a Central Place System. https://app.cochat.ai/papers/10.1111/j.1538-4632.1979.tb00693.x
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- Allen, P. M., & Sanglier, M. (1979). A Dynamic Model of Growth in a Central Place System. Geographical Analysis. https://doi.org/10.1111/j.1538-4632.1979.tb00693.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
