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Comparing bicycling and pedestrian mobility: Patterns of non-motorized human mobility in Greater Boston

机译:骑自行车和行人交通的比较:大波士顿地区非机动人类的出行方式

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摘要

During the past 100 years, many large cities around the world prioritized individual transportation in cars over more sustainable and healthier modes of transportation. As a result, traffic jams, air pollution, and fatal accidents are a daily reality in most metropolis, in both developed and developing countries. On the other hand, walking and bicycling are effective means of transportation for short to medium distances that offer advantages to both the city environment and the health of its citizens. While there is a large body of research in modeling and analysis of urban mobility based on motorized vehicles, there is much less research focusing on non-motorized vehicles, and almost no research on comparing pedestrian and cyclist behavior. In this paper, we present a detailed quantitative analysis of two datasets, for the same period and location, covering pedestrian and bike sharing mobility. We contrast the mobility patterns in the two modes and discuss their implications. We show how pedestrian and bike mobility are affected by temperature, precipitation and time of day. We also analyze the spatial distribution of non-motorized trips in Greater Boston and characterize the associated network of mobility flows with respect to multiple metrics. This work contributes to a better understanding of the characteristics of non-motorized urban mobility with respect to distance, duration, time of day, spatial distribution, as well as sensitivity to the weather.
机译:在过去的100年中,世界上许多大城市都将汽车的个人运输优先于更可持续和更健康的运输方式。结果,无论是在发达国家还是发展中国家,交通堵塞,空气污染和致命事故都是大多数大都市的日常现象。另一方面,步行和骑自行车是短距离到中距离的有效运输方式,为城市环境及其市民的健康带来了好处。尽管在基于机动车辆的城市机动性建模和分析方面有大量研究,但针对非机动车辆的研究却少得多,几乎没有关于比较行人和骑车人行为的研究。在本文中,我们将对两个数据集进行相同时间段和位置的详细定量分析,涵盖行人和自行车共享出行。我们对比了两种模式的流动性模式并讨论了它们的含义。我们展示了行人和自行车的机动性如何受到温度,降水和一天中的时间的影响。我们还分析了大波士顿地区非机动出行的空间分布,并针对多个指标表征了相关的交通流网络。这项工作有助于更好地了解距离,持续时间,一天中的时间,空间分布以及对天气的敏感性方面的非机动城市交通的特征。

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