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Measuring Space‐Time Accessibility Benefits within Transportation Networks: Basic Theory and Computational Procedures

Open access
Miller, Harvey J.·1999·Geographical Analysis

Abstract

Accessibility is a fundamental but often neglected concept in transportation analysis and planning. Three complementary views of accessibility have evolved in the literature. The first is the constraints‐oriented approach, best implemented by Hägerstrand's space‐time prisms. The second perspective follows a spatial interaction framework and derives “attraction‐accessibility measures” that compare destinations' attractiveness with the travel costs required. A third approach measures the benefit provided to individuals by the transportation/land‐use system. This paper reconciles the three complementary approaches by deriving space‐time accessibility and benefit measures that are consistent with the rigorous Weibull axiomatic framework for accessibility measures. This research also develops computational procedures for calculating these measures within network structures. This provides realistic accessibility measures that reflect the locations, distances, and travel velocities allowed by an urban transportation network. Since their computational burdens are reasonable, they can be applied at the urban scale using a GIS.

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Metadata

Authors
Miller, H. J.
Venue
Geographical Analysis
Publisher
Wiley
Published
1999-04
Volume
31
Issue
2
Pages
187-212
ISSN
  • 0016-7363 (ISSN-L)
  • 1538-4632
OpenAlex
W4250475349
Cited by
190
References
0
FWCI
30.66
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Measuring Space‐Time Accessibility Benefits within Transportation Networks: Basic Theory and Computational Procedures. https://app.cochat.ai/papers/10.1111/j.1538-4632.1999.tb00976.x
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Miller, H. J. (1999). Measuring Space‐Time Accessibility Benefits within Transportation Networks: Basic Theory and Computational Procedures. Geographical Analysis. https://doi.org/10.1111/j.1538-4632.1999.tb00976.x

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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.