Assessing the impacts of ridesharing services: An agent-based simulation approach
Assessing the impacts of ridesharing services: An agent-based simulation approach
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DOI：
10.1016/j.jclepro.2022.133664
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发表时间：
2022-08
影响因子：
11.1
通讯作者：
Ruixiao Sun;Xuanke Wu;Yuche Chen
中科院分区：
文献类型：
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作者：
Ruixiao Sun;Xuanke Wu;Yuche Chen
从私家车到共享出行服务的转变可能会影响出行、能源消耗和汽车排放。关于拼车服务的现有文献主要集中在评估其交通和经济影响上。在本研究中，我们提出了一个综合框架来分析区域范围内拼车的效率和环境效益。该框架利用基于代理的交通模拟包（即SUMO），根据现实世界的出行需求数据，复制田纳西州查塔努加中型城市的通勤交通活动。我们构建了代表不同拼车策略和渗透的场景。仿真和结果分析表明，在城市范围内，当拼车比例为出行需求的5%-75%时，许多（65%-75%）拼车旅行者将经历长达15分钟的延误。与没有拼车的情况相比，大约80%的自驾旅行者会提前到达。所有自驾旅客的平均提前到达时间为5.6分钟。研究结果还显示，与没有拼车的情况相比，拼车服务可以减少城市车辆排放总量和能源消耗2%-50%。本研究的框架和结果可以帮助交通从业者在城市规模上实施拼车服务时评估环境效益。
A shift from privately owned vehicles to shared mobility services can affect mobility, energy consumption, and vehicle emissions. Existing literature on ridesharing services has focused on evaluating its traffic and economic impacts. In this study, we propose an integrated framework to analyze the efficiency and environmental benefits of ridesharing on a regional scale. The framework utilizes an agent-based traffic simulation package (i.e., SUMO) to replicate traffic activities for commuting trips in a mid-size city, Chattanooga, Tennessee, based on real-world travel-demand data. We construct scenarios representing different ridesharing strategies and penetrations. The simulation and results analysis show that with a ridesharing ratio of 5%–75% over travel demand in a city scale, many (65%–75%) ridesharing travelers will experience up to a 15-min delay. About 80% of drive-alone travelers will arrive earlier compared with no ridesharing scenario. The average early arrival time would be 5.6 min for all drive-alone travelers. The results also show ridesharing services can achieve a 2%–50% reduction in total city-scale vehicle emissions and energy consumption compared with the no ridesharing scenario. The framework and results of this study can be helpful to transportation practitioners to evaluate environmental benefits when implementing ridesharing services on a city scale.