A bimodal accessibility analysis of Australia through application programming interfaces
In this paper the authors discuss some of the major strengths and limitations of an application programming interfaces (API)-based approach to studying accessibility in transport networks. To this end, the authors present a framework for assessing the bimodal accessibility of locations by using publicly available web-based resources that can be accessed via APIs. By way of empirical example, the authors query the Google Maps Distance Matrix and Google QPX Express APIs to collect travel time for both land- and airside travel, and process the extracted data using Python. The authors then apply their analytical strategy to the case of Australian statistical units to illustrate their data collection and processing framework, and in the process try to improve their understanding of the Australian urban-geographical landscape in terms of its bimodal accessibility. In addition to a largely-expected accessibility pattern centred on major agglomerations, the authors also reveal a number of idiosyncratic and perhaps less-expected geographical patterns.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23249935
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Supplemental Notes:
- © 2020 Hong Kong Society for Transportation Studies Limited. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Meire, Sarah
- Derudder, Ben
- Publication Date: 2020-1
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 695-715
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Serial:
- Transportmetrica A: Transport Science
- Volume: 16
- Issue Number: 3
- Publisher: Taylor & Francis
- ISSN: 2324-9935
- EISSN: 2324-9943
- Serial URL: http://www.tandfonline.com/loi/ttra21
Subject/Index Terms
- TRT Terms: Accessibility; Air transportation; Application programming interfaces; Data collection; Highway transportation; Information processing; Multimodal transportation; Networks
- Identifier Terms: Google Maps
- Geographic Terms: Australia
- Subject Areas: Aviation; Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01762158
- Record Type: Publication
- Files: TRIS
- Created Date: Jan 11 2021 11:09AM