确定改进自行车停车位的优先次序:对数法的应用

IF 2.4 Q3 TRANSPORTATION Case Studies on Transport Policy Pub Date : 2024-05-25 DOI:10.1016/j.cstp.2024.101227
David Kohlrautz , Tobias Kuhnimhof
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引用次数: 0

摘要

提高自行车停放设施的数量和质量对于促进自行车运动至关重要。然而,量化此类改善措施的收益非常困难,而且尚未成为研究的重点。本文以亚琛工业大学校园内的一系列措施为案例,介绍了这种分析方法。仅考虑直接消费者剩余,所分析措施的经济效益差异很大。更换不足的前轮架的消费者剩余-成本比最佳,而建设自行车停放站的消费者剩余-成本比最差。如果考虑到模式转换效应和相关的外部性变化以及对停车场需求的减少,这些措施的成本效益比会高得多。尽管提出的对数和方法忽略了这些二阶效应,只关注经济效益,但在实践中仍有助于确定潜在措施的优先次序。除此以外,分析结果表明,骑车人群体因其学生身份、雇员群体和自行车的转售价值不同,从某些类型的措施中获益也不同。此外,分析还强调了在建立自行车停放行为模型时将非正规停放纳入其中的重要性。
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Prioritizing bicycle parking improvements: An application of the logsum approach

Increasing the number and quality of bicycle parking facilities is essential to promoting cycling. However, quantifying the benefits of such improvements is difficult and has not yet been the focus of research. Apart from rule-of-half-based approaches, logsum analysis is a method for estimating the consumer surplus of measures, reflecting actual behavior.

This paper presents such an analysis of a set of measures on the RWTH Aachen University campus as a case study. Considering only the direct consumer surplus, the economic efficiency of the analyzed measures diverges significantly. The replacement of inadequate front wheel racks has the best consumer surplus-cost ratio, while the construction of bicycle parking stations has the worst. Taking into account modal shift effects and related changes in externalities and reduced demand for car parking, the cost-benefit ratios of the measures would be much higher. Even though the presented logsum approach ignores these second-order effects and focuses exclusively on economic efficiency, it is still useful in practice for prioritizing potential measures. Apart from that, the results show that groups of cyclists benefit differently from certain types of measures depending on their student status, employee group, and the resale value of their bicycle. Additionally, the analysis emphasizes the importance of including informal parking when modeling bicycle parking behavior.

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CiteScore
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自引率
12.00%
发文量
222
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