Digital Platform to promote sustainable mobility and COVID-19 infections reduction: a use case in the Guadalajara metropolitan area

Ramon A. Briseño, J. López, Ma. Roció Maciel Arellano, Víctor M. Larios-Rosillo, J. R. Beltrán-Ramírez, Carlos López-Zaragoza
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引用次数: 3

Abstract

This work proposes a digital platform based in a multi-agent system to plot the different mobility alternatives to counteract the agglomerations in public transport and therefore decrease COVID-19 infections in the GDL. Following the recommendations of the World Health Organization (WHO) in the face of the health emergency of COVID-19, mainly keeping a healthy distance, the GDL can integrate sustainable mobility as the public bicycle system and reduce the users in regular transport routes to safe levels. For that endeavor, we develop an analysis of the behavior of the trips in the public transport of Guadalajara to explore the possibility of substituting the short transfers of bus travel by bicycle travels using the existing public bicycle infrastructure. We introduce a multi-agent simulation to plot different scenarios of mobility moving bicycles and buses. In this preliminary work, we show possibilities of the simulation integrating as variables not only the risk of COVID-19 infection but also the impact on economy and traffic reduction, CO2 Footprint, and health achieved with this multimodal mobility simulation. Also, the simulation can help to incentivize safer and efficient mobility strategies in the public transport system to reduce the use of private vehicles.
促进可持续交通和减少COVID-19感染的数字平台:在瓜达拉哈拉大都市区的用例
这项工作提出了一个基于多智能体系统的数字平台,以绘制不同的移动替代方案,以抵消公共交通中的聚集,从而减少GDL中的COVID-19感染。面对新冠肺炎突发卫生事件,GDL按照世界卫生组织(WHO)的建议,以保持健康距离为主要内容,将可持续交通作为公共自行车系统进行整合,将常规交通路线的使用者减少到安全水平。为此,我们对瓜达拉哈拉的公共交通出行行为进行了分析,以探索利用现有的公共自行车基础设施,用自行车出行代替公共汽车出行的短途转移的可能性。我们引入了一个多智能体仿真来绘制不同场景的移动自行车和公共汽车。在这项初步工作中,我们展示了将模拟整合为变量的可能性,这些变量不仅包括COVID-19感染的风险,还包括通过这种多式联运模拟实现的对经济和交通减少、二氧化碳足迹和健康的影响。此外,模拟可以帮助激励公共交通系统中更安全和有效的移动策略,以减少私人车辆的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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