在考虑反弹效应时,自动驾驶汽车和可持续性
Peter Letmathe1, Maren Paegert1
1School of Business and Economics, RWTH Aachen University, Aachen, Germany.
PloS one
|August 1, 2025
概括
自动驾驶汽车可能会增加交通量,导致反弹效应. 这项研究评估了成本,发现农村地区的共享自动化车辆提供了环境和社会效益,但乘客时间成本更高,需要政策关注.
科学领域:
- 运输科学 运输科学
- 环境科学 环境科学
- 社会学 社会学 社会学
背景情况:
- 自动驾驶汽车 (AV) 承诺减少能源消耗,改善交通流量和提高安全性.
- 然而,由于反弹效应,自动驾驶汽车的部署可能会增加交通量,可能会否定好处.
研究的目的:
- 开发一个框架来评估私人和共享AV使用的环境,社会和时间成本.
- 分析这些成本在德国的城市和农村地区.
主要方法:
- 开发了一个框架来量化环境,社会和时间成本.
- 现状与自动驾驶汽车使用场景的比较分析.
- 在不同地理区域 (城市/农村) 和使用模式 (私人/共享) 中进行评估.
主要成果:
- 在没有恶化当前条件的情况下,交通量可能增加34-47%,根据区域和使用情况而有所不同.
- 农村地区的共享自动化车辆 (SAV) 显示出最大的环境和社会优势.
- 由于时间成本增加,农村SAV对乘客的吸引力最小.
结论:
- 政策制定者和系统提供商必须解决与AV部署相关的权衡问题,特别是农村SAV中的二分法.
- 需要策略来缓解潜在的反弹效应,并平衡各种用户需求和社会利益.
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