Operational Impacts of On-Demand Ride-Pooling Service Options in Birmingham, AL

被引:1
|
作者
Salman, Furat [1 ]
Sisiopiku, Virginia P. [1 ]
Khalil, Jalal [2 ]
Yang, Wencui [1 ]
Yan, Da [2 ]
机构
[1] Univ Alabama Birmingham, Dept Civil Construct & Environm Engn, Birmingham, AL 35294 USA
[2] Univ Alabama Birmingham, Dept Comp Sci, Birmingham, AL 35294 USA
来源
FUTURE TRANSPORTATION | 2023年 / 3卷 / 02期
关键词
Transportation Network Companies (TNCs); ride-pooling; Uber Pool; Lyft Line; on-demand ride-sourcing; MATSim; RIDESOURCING SERVICES;
D O I
10.3390/futuretransp3020030
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Transportation Network Companies (TNCs) use online-enabled apps to provide on-demand transportation services. TNCs facilitate travelers to connect with drivers that can offer them rides for compensation using driver-owned vehicles. The ride requests can be for (a) individual or (b) shared rides. The latter, also known as ride-pooling services, accommodates requests of unrelated parties with origins and destinations along the same route who agree to share the same vehicle, usually at a discounted fare. Uber and Lyft offer ride-pooling services in select markets. Compared to individual ride requests, ride-pooling services hold better promise toward easing urban congestion by reducing the number of automobiles on the road. However, their impact on traffic operations is still not fully understood. Using Birmingham, AL as a case study, this research evaluated the impact that ride-pooling services have on traffic operations using a Multi-Agent Transport Simulation (MATSim) model of the Birmingham metro area. Scenarios were developed to simulate baseline conditions (no TNC service) and ride-pooling availability with two types of ride-pooling services, namely door-to-door (d2d) and stop-based (sB) service and three fleet sizes (200, 400, and 800 vehicles). The results indicate that when TNC vehicles are added to the network, the Vehicle Kilometers Traveled (VKT) decrease by up to 5.78% for the door-to-door (d2d) service, and up to 2.71% for stop-based (sB) services, as compared to the baseline scenario (no TNC service). The findings also suggest that an increase in the size of the ride-pooling fleet results in a rise in total ride-pooling service VKT, network-wide total VKT, and detour distance. However, increasing the size of the ride-pooling fleet also results in a decrease in the ride request rejection rates, thus benefiting the customers and decreasing the vehicle empty ratio which, in turn, benefits the TNC drivers. The results further suggest that a fleet of 200 ride-pooling vehicles can meet the current demand for service in the Birmingham region at all times, thus it is the optimal ride-pooling TNC fleet size for a medium-sized city such as Birmingham.
引用
收藏
页码:519 / 534
页数:16
相关论文
共 50 条
  • [21] On-demand ride service platform with differentiated services
    Ma, Lina
    Tao, Zhijie
    Wei, Qiang
    PLOS ONE, 2024, 19 (01):
  • [22] Ride-pooling in the light of COVID-19: Determining spatiotemporal demand characteristics on the example of MOIA
    Zwick, Felix
    Fraedrich, Eva
    Axhausen, Kay W.
    IET INTELLIGENT TRANSPORT SYSTEMS, 2023, 17 (06) : 1166 - 1181
  • [23] A Time-Invariant Network Flow Model for Ride-Pooling in Mobility-on-Demand Systems
    Paparella, Fabio
    Pedroso, Leonardo
    Hofman, Theo
    Salazar, Mauro
    IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2025, 12 (01): : 906 - 917
  • [24] An Integrated Decomposition and Approximate Dynamic Programming Approach for On-Demand Ride Pooling
    Yu, Xian
    Shen, Siqian
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (09) : 3811 - 3820
  • [25] Integrating parcel deliveries into a ride-pooling service-An agent-based simulation study
    Fehn, Fabian
    Engelhardt, Roman
    Dandl, Florian
    Bogenberger, Klaus
    Busch, Fritz
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2023, 169
  • [26] Operations on an on-demand ride service system with express and limousine
    Wang, Jing-Peng
    Huang, Hai-Jun
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2022, 155 : 348 - 373
  • [27] Ride-pooling Electric Autonomous Mobility-on-Demand: Joint optimization of operations and fleet and infrastructure design
    Paparella, Fabio
    Chauhan, Karni
    Koenders, Luc
    Hofman, Theo
    Salazar, Mauro
    CONTROL ENGINEERING PRACTICE, 2025, 154
  • [28] Decisional factors leading to the reuse of an on-demand ride service
    Lee, So-Hyun
    Lee, Bo-Yeon
    Kim, Hee-Woong
    INFORMATION & MANAGEMENT, 2019, 56 (04) : 493 - 506
  • [29] A Time-invariant Network Flow Model for Two-person Ride-pooling Mobility-on-Demand
    Paparella, Fabio
    Pedroso, Leonardo
    Hofman, Theo
    Salazar, Mauro
    2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC, 2023, : 4118 - 4123
  • [30] Ride-Parcel-Pooling - Assessment of the Potential in Combining On-Demand Mobility and City Logistics
    Fehn, Fabian
    Engelhardt, Roman
    Bogenberger, Klaus
    2021 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC), 2021, : 3366 - 3372