缩小差距:全面了解共享微型机动性车队的发展动态

IF 12.5 Q1 TRANSPORTATION Communications in Transportation Research Pub Date : 2024-11-13 DOI:10.1016/j.commtr.2024.100149
Shahnaz N. Fuady , Paul C. Pfaffenbichler , Yusak O. Susilo
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引用次数: 0

摘要

全球范围内的快速城市化和人口结构的不断变化要求我们采用创新的城市交通解决方案。共享微型交通系统,如自行车和滑板车共享项目,已成为应对传统城市交通挑战的有前途的替代方案。本研究深入探讨了共享微型交通车队发展的复杂性,重点关注车队规模、用户需求、监管框架、经济可行性和公众参与之间的相互作用。通过采用系统动力学建模方法,结合因果循环图(CLDs)和存量与流量模型(SFMs),我们探索了优化微型交通管理系统的各种政策方案。我们的研究结果表明,减免费用和政府补贴等财政激励措施能显著提高用户采用率和盈利能力,而增加运营费用则需要在成本管理和服务吸引力之间取得微妙的平衡。敏感性和不确定性分析强调了有效车队管理的关键参数。这项研究为政策制定者和运营商提供了可行的见解,促进了可持续城市交通系统的发展。
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Bridging the gap: Toward a holistic understanding of shared micromobility fleet development dynamics
Rapid urbanization and shifting demographics worldwide necessitate innovative urban transportation solutions. Shared micromobility systems, such as bicycle- and scooter-sharing programs, have emerged as promising alternatives to traditional urban mobility challenges. This study delves into the complexity of shared micromobility fleet development, focusing on the interplay between fleet size, user demand, regulatory frameworks, economic viability, and public engagement. By employing a system dynamics modeling approach that incorporates causal loop diagrams (CLDs) and stock and flow models (SFMs), we explore various policy scenarios to optimize micromobility management systems. Our findings reveal that financial incentives, such as fee reductions and government subsidies, significantly increase user adoption and profitability, whereas increased operational fees necessitate a delicate balance between cost management and service attractiveness. Sensitivity and uncertainty analyses highlight critical parameters for effective fleet management. This research offers actionable insights for policymakers and operators, promoting sustainable urban transport systems.
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