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Examining motivations for owning autonomous vehicles: Implications for land use and transportation
Journal of Transport Geography ( IF 5.899 ) Pub Date : 2022-05-21 , DOI: 10.1016/j.jtrangeo.2022.103361
Tao Tao, Jason Cao

Illustrating the associations between built environment characteristics and autonomous vehicle (AV) ownership helps policymakers understand where AVs emerge first and their impacts on society. However, few studies have addressed interest in AV ownership from the spatial perspective. Using regional travel survey data from the Twin Cities, we applied the gradient boosting decision tree method to test three hypotheses (diffusion of innovation, efficiency, and modal substitution) underlying the relationships between respondents' interest in owning AVs and its correlates. Results showed that the innovation-diffusion hypothesis dominates the motivations for owning AVs, followed by preference for efficiency and then modal substitution. However, its associations with built environment variables suggest more of preference for efficiency than of diffusion of innovation and modal substitution. Population density, road connectivity, and land use entropy are negatively associated with the interest. The results provide suggestions to address the externalities of AVs in different areas.



中文翻译:

检查拥有自动驾驶汽车的动机:对土地使用和交通的影响

说明建筑环境特征与自动驾驶汽车 (AV) 所有权之间的关联有助于政策制定者了解自动驾驶汽车最先出现的位置及其对社会的影响。然而,很少有研究从空间角度解决对 AV 所有权的兴趣。使用来自双子城的区域旅行调查数据,我们应用梯度提升决策树方法来测试三个假设(创新扩散、效率和模式替代),这些假设是受访者对拥有 AV 的兴趣与其相关因素之间关系的基础。结果表明,创新扩散假设主导了拥有自动驾驶汽车的动机,其次是效率偏好,然后是模式替代。然而,它与建成环境变量的关联表明,人们更倾向于效率,而不是创新的扩散和模式替代。人口密度、道路连通性和土地利用熵与兴趣呈负相关。结果为解决不同领域自动驾驶汽车的外部性提供了建议。

更新日期:2022-05-21
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