Negative Spillovers of New Technologies: The Unequal Burden of Congestion Created by Autonomous Vehicles

Leslie A. Martin, Zan Fairweather
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Abstract

Autonomous vehicle (AV) technologies lower the private cost of driving, leading to induced demand for road use at peak times. Because adoption is likely to skew towards higher-income commuters, we show that the congestion externalities exacerbated by adoption are likely to be experienced disproportionately by lower-income drivers. Unless proactive policies like congestion pricing or improved access to public transit or ride-share are simultaneously implemented, autonomous vehicles are likely to make lower-income commuters actively worse off in congested cities where many higher-income commuters currently take public transit.
新技术的负面溢出效应:自动驾驶汽车造成的不平等拥堵负担
自动驾驶汽车(AV)技术降低了私人驾驶成本,导致高峰时段的道路使用需求。由于采用可能倾向于高收入的通勤者,我们表明,采用加剧的拥堵外部性可能会不成比例地发生在低收入司机身上。除非同时实施拥堵收费或改善公共交通或拼车等积极政策,否则自动驾驶汽车可能会使低收入通勤者在拥挤的城市中变得更加糟糕,而许多高收入通勤者目前都乘坐公共交通工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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