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.

中文翻译：

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通过应用程序编程接口对澳大利亚进行双模式无障碍分析

摘要 在本文中，我们讨论了基于应用程序编程接口 (API) 的方法来研究传输网络中的可访问性的一些主要优势和局限性。为此，我们提出了一个框架，通过使用可通过 API 访问的公开可用的基于 Web 的资源来评估位置的双峰可访问性。通过经验示例，我们查询 Google Maps Distance Matrix 和 Google QPX Express API 以收集陆上和空侧旅行的旅行时间，并使用 Python 处理提取的数据。然后，我们将我们的分析策略应用于澳大利亚统计单位的案例，以说明我们的数据收集和处理框架，并在此过程中尝试提高我们对澳大利亚城市地理景观双峰可达性的理解。