Department of Earth, Environment and Society, McMaster University, Hamilton, Canada.
Centro de Investigación del Transporte (TRANSyT), Universidad Politécnica de Madrid, Madrid, Spain.
PLoS One. 2024 Feb 23;19(2):e0299077. doi: 10.1371/journal.pone.0299077. eCollection 2024.
Place-based accessibility measures communicate the potential interaction with opportunities at a zone that populations can access. Recent research has explored the implications of how opportunities are counted by different accessibility methods. In conventional measures, opportunities are multiply counted if more than one zone offers access to the same opportunity. This multi-count of opportunities leads to values of accessibility that are difficult to interpret. A possible solution to enhance the meaning-making of accessibility results is by constraining the calculations to match a known quantity. This ensures all zonal values sum up to a predetermined quantity (i.e., the total number of opportunities). In this way, each value can be meaningfully related to this total. A recent effort that implements this solution is spatial availability, a singly-constrained accessibility measure. In this paper, we extend spatial availability for use in the case of multiple modes or more generally, heterogeneous population segments with distinct travel behaviors. After deriving a multimodal version of spatial availability, we proceed to illustrate its features using a synthetic example. We then apply it to an empirical example of low emission zones in Madrid, Spain. We conclude with suggestions for future research and its use in evaluating policy interventions.
基于位置的可达性度量方法可传达人口可达区域内机会的潜在交互作用。最近的研究探讨了不同可达性方法计算机会的方式所带来的影响。在传统的度量方法中,如果多个区域都可以访问相同的机会,则会对机会进行多次计数。这种机会的多次计数导致可达性的值难以解释。增强可达性结果的意义的一种可能解决方案是通过将计算约束为与已知数量匹配来实现。这确保了所有区域值总和等于预定数量(即,机会的总数)。通过这种方式,每个值都可以与这个总数有意义地关联。最近实施此解决方案的一项努力是空间可用性,这是一种单一约束的可达性度量方法。在本文中,我们将空间可用性扩展到多种模式或更一般的、具有不同出行行为的异质人口群体的情况下使用。在推导出空间可用性的多模态版本之后,我们使用一个合成示例来说明其功能。然后,我们将其应用于西班牙马德里的低排放区的实证示例。最后,我们提出了未来研究的建议及其在评估政策干预措施中的应用。