An agent-based simulation approach to investigate the shift of Switzerland's inland freight transport from road to rail

被引:3
|
作者
Kaddoura, Ihab [1 ]
Masson, David [1 ]
Hettinger, Thomas [1 ]
Unterfinger, Merlin [1 ]
机构
[1] Swiss Fed Railways SBB, Corp Dev Res & Innovat Management, Hilfikerstr 1, CH-3000 Bern, Switzerland
关键词
Intermodal transport; Agent-based simulation; Freight transport; Modal shift; Intermodal hubs; Road; rail terminals; TRAFFIC SIMULATION; ELECTRIFICATION;
D O I
10.1007/s11116-023-10383-3
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Most of today's inland freight transport in Switzerland is operated on the road system. In this study, an innovative agent-based simulation approach is developed to investigate the potential shift from road to rail. In a first step, future freight demand for inland road transport is calculated based on official governmental forecasting tools provided by ARE (Bundesamt fur Raumentwicklung, Switzerland). In a second step, the agent-based simulation framework Multi-Agent Transport Simulation (MATSim) is used to investigate different supply concepts and estimate the mode shift effect from "road-only" to "intermodal road and rail transport". The simulated transport supply consists of the road network, the rail network, the cargo rail schedule, and the terminals where containers are loaded from Heavy Goods Vehicles to cargo trains and vice versa. For both, the road and rail system, dynamic queuing effects are explicitly taken into consideration. The illustrative case study for Switzerland reveals that intermodal road/rail transport provides a great potential to reduce road traffic. From the users' point of view, switching from road to intermodal transport yields an average cost reduction of 46%. Even without any optimization of the transit schedule and terminal capacities, a significant trip share of 23% is shifted from road to intermodal transport. Both train and terminal capacities as well as the number of train departures per origin destination relation are limiting factors and have a crucial impact on the demand for intermodal transport.
引用
收藏
页码:1701 / 1722
页数:22
相关论文
共 40 条
  • [21] Road Freight Transport Forecasting: A Fuzzy Monte-Carlo Simulation-Based Model Selection Approach
    Dragan, Dejan
    Sinko, Simona
    Keshavarzsaleh, Abolfazl
    Rosi, Maja
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2022, 29 (01): : 81 - 91
  • [22] Estimating the Benefits of Korea's Intercity Rail Speed Increase Project: An Agent-Based Model Approach
    Kim, Chansung
    Rim, Heesub
    Oh, Dongik
    Kang, Dongwoon
    MODELLING, 2022, 3 (01): : 94 - 104
  • [23] How the issue time of information affects passengers in public transport disruptions: an agent-based simulation approach
    Leng, Nuannuan
    Corman, Francesco
    11TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 3RD INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS, 2020, 170 : 382 - 389
  • [24] Real-time collision handling in railway transport network: an agent-based modeling and simulation approach
    Dalapati, Poulami
    Padhy, Abhijeet
    Mishra, Bhawana
    Dutta, Animesh
    Bhattachary, Swapan
    TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2019, 11 (08): : 458 - 468
  • [25] New Types of Metrics for Urban Road Networks Explored with S3: An Agent-Based Simulation Platform
    Genre-Grandpierre, Cyrille
    Banos, Arnaud
    ADVANCES IN PRACTICAL MULTI-AGENT SYSTEMS, 2010, 325 : 267 - +
  • [26] Modeling framework for the agent-based simulation of rail-based urban parcel transport: An application of a two-stage transport chain selection model in the city of Karlsruhe, Germany
    Barthelmes, Lukas
    Goerguelue, Mehmet Emre
    Kuebler, Jelle
    Loeffler, Aljoscha
    Kagerbauer, Martin
    Vortisch, Peter
    RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT, 2025, 59
  • [27] Impact Estimation of Unplanned Urban Rail Disruptions on Public Transport Passengers: A Multi-Agent Based Simulation Approach
    Cong, Chengli
    Li, Xuan
    Yang, Shiwei
    Zhang, Quan
    Lu, Lili
    Shi, Yang
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (15)
  • [28] Agent-Based Simulation Approach to Determine Safety Impacts of Demand-Responsive Transport (DRT) in Wayne County, Michigan
    Feizi, Ahmad
    Twumasi-Boakye, Richard
    Djavadian, Shadi
    Fishelson, James
    TRANSPORTATION RESEARCH RECORD, 2022, 2676 (10) : 361 - 375
  • [29] Examining the effects of Automated Mobility-on-Demand services on public transport systems using an agent-based simulation approach
    Nguyen-Phuoc, Duy Q.
    Zhou, Meng
    Chua, Ming Hong
    Alho, Andre Romano
    Oh, Simon
    Seshadri, Ravi
    Le, Diem-Trinh
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2023, 169
  • [30] Network effects in Schelling's model of segregation: new evidence from agent-based simulation
    Banos, Arnaud
    ENVIRONMENT AND PLANNING B-PLANNING & DESIGN, 2012, 39 (02): : 393 - 405