The DOI matches its Crossref record.
Geographic Information Systems for Transportation: Principles and Applications
Abstract
GIS data and tools are revolutionizing transportation research and decision making, allowing transportation analysts and professionals to understand and solve complex transportation problems that were previously impossible. Here, Miller and Shaw present a comprehensive discussion of fundamental geographic science and the applications of these principles using GIS and other software tools. By providing thorough and accessible discussions of transportation analysis within a GIS environment, this volume fills a critical niche in GIS-T and GIS literature.
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“While effective for finding optimal routes within road networks, this approach is not suitable for calculating the shortest paths across continuous surfaces, such as geographic terrain.”
From Geospatial modeling of walking routes combing on-road and off-road movements (2026) · cites this paper as Miller, Shaw 2001
Citations
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Geospatial modeling of walking routes combing on-road and off-road movements
Zaslavskaya, E. S., & Karpachevskiy, A. M. (2026) · Geography, Environment, Sustainability · doi:10.24057/2071-9388-2026-4068
Metadata
- Authors
- Miller, H. J., & Shaw, S.-L.
- Publisher
- Oxford University PressNew York, NY
- Published
- 2001-11-22
- Cited by
- 235
- References
- 0
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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