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Non-parametric Multi-criteria Optimisation of Park and Ride Facility Locations

机译:公园和乘坐设施位置的非参数多标准优化

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A significant increase in car ownership has been recognised as one of the main reasons for traffic congestion, especially in city centres. Park-and-ride (P&R) facilities are often included as parts of a multimode transportation strategy, featuring car parks where users can switch to public transportation to carry on their journeys; they have thus long been used as an effective solution to mitigating congestion issues without affecting traffic demand. Feasible locations of park-and-ride facilities are thus of crucial importance not only for users, but also local authorities and the environment. Many factors of different importance affect the optimal locations of P&R facilities, which further complicates the process of decision making. In order to systemise the process of criteria weighting, a non-parametric approach is thus used in this paper to test three key aspects of the P&R facility localisation process. These are user coverage, accessibility from major roads, and area availability. An Analytic Hierarchy Process (AHP) is used to develop a resilient weighting system that can be updated for each case, and the case study used in this research is the Iraqi city of Kerbala. The results show that that the AHP method is a powerful technique for evaluating and comparing the influence of multiple factors on each other and on the final outcome. The paper concludes with a discussion of the findings, practical implications, research limitations and future research directions.
机译:汽车所有权的大幅增加被认为是交通拥堵的主要原因之一,特别是在城市中心。 Park-and-ride(营业诗人)设施通常包括作为多模运策略的一部分,包括停车场,用户可以切换到公共交通运输以进行旅行;因此,它们长期被用作减轻拥堵问题的有效解决方案,而不会影响交通需求。因此,公园和骑行设施的可行地点不仅对用户而且是当地当局和环境的重要性。许多不同重要的因素影响了P&R设施的最佳位置,这进一步复杂化了决策过程。为了系统化标准加权的过程,本文中使用了非参数方法,以测试P&R设施定位过程的三个关键方面。这些是用户覆盖,主要道路的可访问性以及区域可用性。分析层次处理(AHP)用于开发可用于每种情况的弹性加权系统,本研究中使用的案例研究是伊拉克市克尔塔拉。结果表明,AHP方法是用于评估和比较彼此的多种因素的影响和最终结果的强大技术。本文讨论了调查结果,实际影响,研究局限和未来的研究方向。

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