卡内基梅隆大学的研究发现, 搭乘车的应用程序减少了种族歧视, 但在种族隔离的城市, 待机时间更长. Carnegie Mellon study finds ride-hailing apps reduce racial discrimination, but longer wait times persist in segregated cities.
卡内基·梅隆大学的一项研究表明,Uber和Lyft等乘务应用程序有助于减少对黑人乘客的种族歧视,使新驾驶员能够迅速重新搭配,从而减少等待时间的差异。 A Carnegie Mellon University study indicates that ride-hailing apps like Uber and Lyft help reduce racial discrimination against Black passengers by enabling quick rematching with new drivers, which lessens wait time disparities. 然而,由于与历史歧视有关的系统性问题,芝加哥等隔离城市的黑人骑手仍然面临更长的等待时间。 However, Black riders in segregated cities, such as Chicago, still face longer wait times due to systemic issues linked to historical discrimination. 研究强调需要解决运输方面的直接歧视和系统性歧视。 The research emphasizes the need to address both direct and systemic discrimination in transportation.