活动减少作为弹性指标:基于Filomena数据的证据

Enrique Santiago-Iglesias, Jan Dirk Schmöcker, Jose Carpio-Pinedo, Juan Carlos García-Palomares, Wenzhe Sun
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引用次数: 0

摘要

我们探讨了不同的社会经济群体如何适应2021年发生在马德里的暴风雪Filomena。本文提出了弹性三角形的反向解释,较小的三角形区域表明,尽管受到干扰,但弹性较弱的人口仍在继续旅行,而较大的需求损失表明适应性更强。这项研究利用谷歌Popular Times的数据,衡量了社区的活动水平,重点关注必要和非必要的旅行。收入较低的弱势群体表现出有限的适应能力,因此与富裕社区相比,商业活动的减少幅度较小。研究强调了在评估弹性时考虑需求适应性和社会经济因素的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Activity Reduction as Resilience Indicator: Evidence with Filomena Data
We explore how different socioeconomic groups adapt to the snowstorm Filomena that occurred in Madrid in 2021. A reverse interpretation of the resilience triangle is proposed, where smaller triangle areas indicate less resilient populations continuing to travel despite disruptions, while larger demand losses indicate greater adaptability. Using Google Popular Times data, the study measures activity levels in neighborhoods, focusing on essential and non-essential trips. Vulnerable groups with lower incomes show limited adaptability, resulting in a smaller reduction in commercial activities compared to affluent neighborhoods. The study emphasizes the significance of considering demand adaptability and socioeconomic factors in assessing resilience.
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