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The impact of future cities on commuting patterns: An agent-based approach

机译:未来城市对通勤模式的影响:基于代理的方法

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Over the next 35 years, the population of Switzerland is expected to grow by 25%. One possible way to accommodate this larger population is to transform smaller cities in Switzerland through the direct intervention of urban planners. In this work, we integrate agent-based simulation models of people flow, mobility and urban infrastructure with models of the electricity and gas systems to examine the increase of the density of existing residential zones and the creation of new workplaces and commercial activities in these urban areas. This novel simulation framework is used to assess, for the year 2050, two different scenarios of urbanization in a region with small urban areas. It is shown that a densification scenario, with a preference for multi-dwelling buildings, consumes 93% less land than a sprawl scenario, with a preference for single-family houses. The former scenario also accommodates 27% more people than the latter scenario, as there is a higher penetration of battery electric vehicles - and therefore reduced air pollution from the transportation sector - and also a larger shift of commuters to the use of public transport. However, in the former scenario, the commuting time is 20% longer. The outcome of this work demonstrates how this novel simulation framework can be used to support the formulation of policies that can direct the transformation of urban areas.
机译:在接下来的35年中,瑞士的人口预计将增长25%。容纳大量人口的一种可能方法是,通过城市规划人员的直接干预,改变瑞士较小的城市。在这项工作中,我们将基于代理的人员流动,流动性和城市基础设施模拟模型与电力和天然气系统模型相集成,以检查现有居民区密度的增加以及在这些城市中创建新的工作场所和商业活动地区。这个新颖的模拟框架用于评估2050年城市面积较小的区域中两种不同的城市化方案。结果表明,在优先选择多户住宅的情况下,与单一房子优先的情况相比,优先选择多栋房屋的土地消耗减少了93%。前一种情况比后一种情况可容纳27%的人口,这是因为电动汽车的普及率更高-因此减少了交通运输部门的空气污染-以及通勤者向公共交通的转移更大。但是,在前一种情况下,通勤时间要长20%。这项工作的结果表明,如何使用这种新颖的模拟框架来支持制定指导城市地区转型的政策。

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