在农村社区采用自动驾驶汽车的障碍

Diandra Prioleau, Priya Dames, Kiana Alikhademi, J. Gilbert
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引用次数: 3

摘要

农村社区比城市社区更依赖交通。农村地区的交通对于获得食品、保健、教育机会和就业是必要的,特别是因为农村居民要走较远的路才能获得这些服务。因此,高效和负担得起的交通工具的可用性可以导致农村地区的经济增长,并确保人们能够获得他们所需的服务。自动驾驶汽车(AV)可以改善这些社区的可达性和流动性。然而,讨论自动驾驶汽车影响的研究大多集中在城市交通上,对农村地区的关注有限。在本文中,通过研究农村社区在金融、交通基础设施、政策和人口统计方面的当前斗争,讨论了在农村地区采用自动驾驶汽车的障碍。首先,我们建议设计和制造自动驾驶汽车的公司研究有效的方法,以确保农村社区能够负担得起。此外,在使用自动驾驶汽车进行拼车时,必须确保农村社区有经济能力使用它们。其次,公司必须注意这些车辆的可及性,以确保所有人,包括残疾人和老年人,都能在农村社区毫无困难地使用它们。为了最大限度地提高这些车辆的可达性,他们需要在设计和决策过程中融入社区。最后,在这些车辆中使用的任何技术,如面部识别系统,都需要解决对农村社区少数民族的潜在偏见,以避免未来对社会中特定群体的不同影响和不公正。
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Barriers to the Adoption of Autonomous Vehicles in Rural Communities
Rural communities are more dependent on transportation than their urban peers. Transportation within rural areas is necessary to access food, healthcare, educational opportunities, and employment, especially since rural residents have longer distances to travel to access them. Therefore, the availability of efficient and affordable transportation can lead to economic growth in rural areas and ensure that people can obtain the services they need. Autonomous Vehicles (AV) can improve accessibility and mobility in these communities. However, research that discusses autonomous vehicles' impact mostly focuses on urban transportation with limited focus on rural areas. In this paper, the barriers to adopting autonomous vehicles in rural areas are discussed by examining the current struggles of rural communities concerning finance, transportation infrastructure, policy, and demographics. First, we suggest that companies that design and create autonomous vehicles investigate efficient ways to ensure they are affordable to rural communities. Additionally, when using AVs for ridesharing, it must be ensured that rural communities have the financial means to use them. Second, companies must be attentive to these vehicles' accessibility to ensure that all individuals, including disabled and older adults, can use them without difficulty in rural communities. To maximize these vehicles' accessibility, they need to embrace the community in the design and policy-making processes. Lastly, any technologies used in these vehicles, such as facial recognition systems, need to address the potential of bias against minorities in rural communities to avoid the future disparate impacts and injustice toward particular groups of people in the society.
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