原文传递
Exploring the Economic, Environmental, and Travel Implications of Changes in Parking Choices due to Driverless Vehicles: An Agent-Based Simulation Approach
| 题名： | Exploring the Economic, Environmental, and Travel Implications of Changes in Parking Choices due to Driverless Vehicles: An Agent-Based Simulation Approach |
| 其他题名： | AAA(American Automobile Association).2013.Your driving cost:How much are you really paying to drive.Aurora,IL:AAA. |
| 正文语种： | 英文 |
| 作者： | Corey D. Harper |
| 关键词： | Driverless automated vehicles;Parking;Agent-based model |
| 摘要： | Fully driverless automated vehicles (AVs) could considerably alter the proximity value of parking, due to an AV's ability to drop passengers off at their destination, search for cheaper parking, and return to pick up their occupants when needed. This study estimates the potential impact of privately owned driverless vehicles on vehicle kilometers traveled (VKT), energy use, emissions, and parking revenues in the city of Seattle,Washington, from changes in parking decisions using an agent-based simulation model. Each AVis assumed to consider the cost to drive to each parking spot, the associated daily parking cost, and the parking availability at each location, and the AV ranks each choice in terms of economic cost. The simulation results indicate that at low penetration rates (5-25％ AV penetration), AVs in downtown Seattle would travel an additional 5.6-6.4 km/day (3.5-4.0 mi=day) on average, and that, at high penetration rates (50-100％ AV penetration), AVs would travel an additional 9.0-13.5 km/day (5.6-8.4 mi=day) on average. The results also suggest that as AV penetration rates increase, parking lot revenues decrease significantly and could likely decline to the point where operating a lot is unsustainable economically, if no parking-demand management policies are implemented. This could lead to changes in land use as the amount of parking needed in urban areas is reduced and cars move away from the downtown area for cheaper parking. This analysis provides an illustration of the first-order effects of AVs on the built environment and could help inform near- and long-term policy and infrastructure decisions during the transition to automation. |
| 出版年： | 2018 |
| 论文唯一标识： | P-84Y2018V144N04016 |
| 英文栏目名称： | TECHNICAL PAPERS |
| doi： | 10.1061/(ASCE)UP.1943-5444.0000488 |
| 期刊名称： | Journal of Urban Planning and Development |
| 拼音刊名(出版物代码)： | P-84 |
| 卷： | 144 |
| 期： | 04 |
| 页码： | 173-185 |
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