A bimodal accessibility analysis of Australia through application programming interfaces

In this paper we 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, we present a framework for assessing the bimodal accessibility of locations by using publicly available web...

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Vydané v:Transportmetrica (Abingdon, Oxfordshire, UK) Ročník 16; číslo 3; s. 695 - 715
Hlavní autori: Meire, Sarah, Derudder, Ben
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Abingdon Taylor & Francis 01.01.2020
Taylor & Francis Ltd
Predmet:
Accessibility
Application programming interface
application programming interfaces (APIs)
Australia
bimodal accessibility
Data collection
Empirical analysis
road and air transport
Travel time
Web-based data
ISSN:2324-9935, 2324-9943
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Abstract In this paper we 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, we 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, we 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. We then apply our analytical strategy to the case of Australian statistical units to illustrate our data collection and processing framework, and in the process try to improve our 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, we also reveal a number of idiosyncratic and perhaps less-expected geographical patterns.
AbstractList In this paper we 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, we 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, we 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. We then apply our analytical strategy to the case of Australian statistical units to illustrate our data collection and processing framework, and in the process try to improve our 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, we also reveal a number of idiosyncratic and perhaps less-expected geographical patterns.
Author Derudder, Ben
Meire, Sarah
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SubjectTerms Accessibility
Application programming interface
application programming interfaces (APIs)
Australia
bimodal accessibility
Data collection
Empirical analysis
road and air transport
Travel time
Web-based data
Title A bimodal accessibility analysis of Australia through application programming interfaces
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