Demand responsive transit (DRT) is attracting increased attention as a means to provide public transit to low-density populations. This research aims to provide a suite of evaluation metrics with low data requirement and widespread availability, so that operators, funders, regulators, and practitioners can better evaluate the performance of DRT services. Trip numbers can be divided by a number of available variables (period, trip length, population, and density) to create a number of derived metrics. By applying these variables across three different DRT service areas in Logan City, Australia, where other key factors are held constant, one can see how different formulations lead to very different readings of DRT system performance. The results confirm the dilemma of cost efficiency versus equity in service provision in low-density environments. This paper also highlights current data limitations and calls for better data collection to facilitate the development of new evaluation methods for DRT services and a new composite metric that can be used for inter-service comparison.

中文翻译：

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使用基于密度的出行率指标评估需求响应的交通服务

需求响应型交通 (DRT) 作为向低密度人口提供公共交通的一种手段，正引起越来越多的关注。本研究旨在提供一套数据要求低、可用性广泛的评估指标，以便运营商、资助者、监管者和从业者能够更好地评估 DRT 服务的绩效。行程次数可以除以许多可用变量（周期、行程长度、人口和密度），以创建许多派生指标。通过在澳大利亚洛根市的三个不同 DRT 服务区域应用这些变量，其他关键因素保持不变，人们可以看到不同的公式如何导致 DRT 系统性能的读数大相径庭。结果证实了在低密度环境中提供服务的成本效率与公平性之间的两难境地。