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Modelling accessibility using space-time prism concepts within geographical information systems

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MILLER, HARVEY J.·1991·International journal of geographical information systems

Abstract

The space-time Of time geographical framework is a powerful perspective from which to analyse human behaviour. One of the central concepts in this framework is the space-time prism, which models individual accessibility to an environment. In this paper, the derivation and manipulation of space-time prism concepts within a geographical information system (GIS) are discussed. The required system inputs and desired outputs are identified and a generic GIS based procedure is presented Given these basic requirements, issues are discussed which can determine the feasibility of current GIS technology to handle the derivation of space-time prism concepts.

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Research works printed but not linked: 14

  1. BURNS L. D., 1979, Transportation, Temporal, and Spatial Components of Accessibility
  2. 10.1068/a200547 · DOI
  3. GOLLEDGE R. G., 1987, Analytical Behavioral Geography
  4. HAGERSTRAND T., 1970, Papers of the Regional Science Association, 14, 7, 10.1111/j.1435-5597.1970.tb01464.x · DOI · Paper page
  5. HOROWITZ J. L., 1985, Transportation Research, 16, 441, 10.1016/0191-2607(85)90046-9 · DOI
  6. JANELLE D. G., 1983, Urban Geography, 4, 317, 10.2747/0272-3638.4.4.317 · DOI
  7. 10.1016/0191-2607(82)90021-8 · DOI
  8. 10.1068/a130435 · DOI
  9. 10.1080/02693798908941509 · DOI
  10. LENNTORP B., 1976, Lund Studies in Geography
  11. LENNTORP B., 1978, Timing Space and Spacing Time Volume 2 Human Activity and Time Geography, 162
  12. 1987, NETWORK User's Guide
  13. 10.2307/142726 · DOI · Paper page
  14. 10.1287/opre.28.5.1122 · DOI

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Metadata

Authors
MILLER, H. J.
Venue
International journal of geographical information systems
Published
1991-01
Volume
5
Issue
3
Pages
287-301
ISSN
0269-3798 (ISSN-L)
OpenAlex
W2029149715
Cited by
676
References
0
FWCI
23.15
Type
journal article
Language
en
Open access
bronze

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