Impact of Autonomous Vehicles on the Choice of Residential Locality
Impact of Autonomous Vehicles on the Choice of Residential Locality
复制标题
自动驾驶汽车对居住地点选择的影响
DOI：
10.1080/03081060.2022.2105339
复制
发表时间：
2022
影响因子：
1.6
通讯作者：
Tomoru Hiramatsu
中科院分区：
文献类型：
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作者：
堀江 進也;土居 潤子;藤井 隆雄;入谷 純;佐藤 純恵;安岡 匡也;Tomoru Hiramatsu
引入自动驾驶汽车（AV）可以降低一般运输成本，并鼓励人们搬迁。了解城市结构的后续变化有助于预测城市经济和政策的未来发展。交通连接了城市的多个区域，通过改善交通流量和便利程度，直接影响了各个市场的经济。每一个直接的影响也间接影响相关的市场。因此，通过交通网络连接多个地区的空间可计算一般均衡模型适合于分析新交通系统的影响。本研究建构一个模型来模拟自动驾驶汽车对居住区位选择的影响。结果表明，AV流行率的增加使人们转向公共交通不佳的郊区。因此，高收入工人对技术进步的反应更大，而低收入工人对降低所有权成本的反应更大。消费者的区位选择和预算也影响着住宅区的发展。因此，在引入自动驾驶汽车时，必须明确区域政策目标，并设定适当的目标消费群体。
Introducing autonomous vehicles (AVs) reduces generalized transportation costs and encourages people to relocate. Understanding the subsequent changes in urban structure can help predict the future development of urban economies and policies. Transportation connects multiple zones in cities, and by improving traffic flow and ease directly impacts the economies of various markets. Each direct impact then also indirectly affects related markets. Therefore, a spatial computable general equilibrium model that connects multiple zones via a transportation network is suitable for analyzing the impact of a new transport system. This study constructs a model to simulate the effects of AVs on residential location choice. The results show that increased prevalence of AVs steers people toward suburbs with poor public transportation. Thus, high-income workers react more to technological progress, while low-income workers react more to lowered ownership costs. Consumers’ location choices and budgets also affect residential zones’ development. Therefore, regional policy goals must be clarified and appropriate target consumer groups set when introducing AVs.