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A methodology based on parking policy to promote sustainable mobility in college campuses

机译:基于停车政策的方法,促进大学校园可持续移动性

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Many university campuses are suffering from serious mobility problems resulting from excessive use of the private car by students, teachers and administrative staff. This article proposes a methodology based on a revealed and stated preferences survey aimed at estimating the importance of different variables on users mobility choices in order to simulate their reaction to policies such as the introduction of new modes of transport or charging for on campus parking. This estimation was based on a Mixed Logit model considering the possible presence of heterogeneity in user preferences. The introduction of these results into an optimization model has also allowed us to calculate the optimal parking fare that should be charged which would minimize the number of free spaces on campus or maximize the income received. This methodology has been applied to a case study at the campus of the University of Cantabria (Spain). The elasticities calculated using a Mixed Logit model confirm that setting a fare for parking on campus would be a serious disincentive against private car use in favor of more sustainable transport modes. Furthermore, the optimization model allowed us to calculate the fare that would maximize the income obtained from the parking spaces, an income that could then be used to strengthen the campus sustainable mobility policies.
机译:许多大学校园都遭受了严重的流动问题,这些问题是由学生,教师和行政人员过度使用私家车。本文提出了一种基于透露和所说的偏好调查的方法,旨在估计不同变量对用户移动选择的重要性,以便模拟他们对校园停车质的新运输方式的策略等政策的反应。考虑到用户偏好中可能存在异质性的情况,该估计基于混合登记模型。将这些结果引入优化模型也使我们能够计算应收取的最佳停车场,这将最大限度地减少校园内的自由空间数量或最大化所收到的收入。该方法已应用于坎塔布里亚大学(西班牙)校园的案例研究。使用混合Logit模型计算的弹性确认,在校园内设立停车费将是对私人汽车的严重抑制,以支持更可持续的运输方式。此外,优化模型使我们能够计算最大化从停车位获得的收入的票价,该收入可以用于加强校园可持续移动政策。

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