Center for Transportation Equity, Decisions and Dollars (CTEDD), University of Texas at Arlington, Arlington, Texas.
Department of Civil Engineering, University of Texas at Arlington (UTA), Arlington, Texas.
Traffic Inj Prev. 2022;23(6):333-338. doi: 10.1080/15389588.2022.2074412. Epub 2022 May 31.
On-demand ridesharing services are suggested to provide several benefits, such as improving accessibility and mobility, reducing drive-alone trips and greenhouse gas emissions. However, the impacts of these services on traffic crashes are not completely clear. This paper investigates the availability of Via- an on-demand ridesharing service in Arlington, TX, to identify the effects of this service on traffic crashes. We hypothesize that the launch of Via would result in more shared rides, fewer drive-alone trips and fewer traffic crashes.
We implement an Interrupted Time Series Analysis (ITSA) approach to study the impact of Via service availability on traffic crashes using weekly counts of all traffic crashes, the number of injuries, and serious injuries that occurred in Arlington from 2014 to 2021.
The results show a statistically significant reduction in the weekly number of total crashes and total injuries but do not show any significant impact on the number of serious injuries. Shared Autonomous Vehicles have the potential to reduce traffic crashes caused by driver's fault.
This study reveals the potential impacts ridesharing services can have on traffic crashes and injuries in a mid-sized city. The results of this study can help decision and policymakers to understand the full potential of ridesharing services that can contribute to making relevant decisions toward creating sustainable and safer transportation systems in cities.
按需拼车服务被认为具有诸多益处，例如提高可达性和机动性、减少单人驾车出行和温室气体排放。然而，这些服务对交通事故的影响尚不完全清楚。本文调查了德克萨斯州阿灵顿市 Via（按需拼车服务）的服务可用性，以确定该服务对交通事故的影响。我们假设 Via 的推出将导致更多的拼车出行、更少的单人驾车出行和更少的交通事故。
我们使用 2014 年至 2021 年期间阿灵顿每周发生的所有交通事故、受伤人数和重伤人数的周计数，采用中断时间序列分析（ITS）方法研究 Via 服务可用性对交通事故的影响。
结果显示，总事故和总受伤人数的每周数量呈统计学显著减少，但严重受伤人数没有显示出任何显著影响。自动驾驶共享汽车有可能减少因驾驶员失误导致的交通事故。
本研究揭示了拼车服务在中型城市对交通事故和受伤的潜在影响。本研究的结果可以帮助决策者了解拼车服务的全部潜力，为在城市中创建可持续和更安全的交通系统做出相关决策提供参考。
