论文标题
来自开放数据和可访问性措施的公共交通线的股权分数
Equity Scores for Public Transit Lines from Open-Data and Accessibility Measures
论文作者
论文摘要
当前的过境遭受了明显的不平等：在郊区的过境服务水平要比城市中心的满足程度要低得多。结果，私家车仍然是郊区人民的主要运输模式，这导致拥挤和污染。为了实现可持续性目标并减少汽车依赖性，应（重新）围绕公平设计。为此，有必要（i）量化运输系统的“权益级别”，（ii）提供了一个指标，该指标得分，该指标得分为使运输公平的贡献最大。该指标可以建议运输运营商必须投资哪些线以提高服务水平（频率或覆盖范围），以减少系统中的不平等。 据我们所知，本文是第一个解决（ii）的论文。为此，我们提出了仅依靠开放数据的有效评分方法，这使我们能够对多个城市（本文7）进行分析。我们的方法可用于指导大规模迭代优化算法以提高可访问性权益。
Current transit suffers from an evident inequity: the level of service of transit in suburbs is much less satisfying than in city centers. As a consequence, private cars are still the dominant transportation mode for suburban people, which results in congestion and pollution. To achieve sustainability goals and reduce car-dependency, transit should be (re)designed around equity. To this aim, it is necessary to (i) quantify the "level of equity" of the transit system and (ii) provide an indicator that scores the transit lines that contribute the most to keep transit equitable. This indicator could suggest on which lines the transit operator must invest to increase the service level (frequency or coverage) in order to reduce inequity in the system. To the best of our knowledge, this paper is the first to tackle (ii). To this aim, we propose efficient scoring methods that rely solely on open data, which allows us to perform the analysis on multiple cities (7 in this paper). Our method can be used to guide large-scale iterative optimization algorithms to improve accessibility equity.
