System Dynamics Based, Microscopic Freight Transport Simulation for Urban Areas

Thaller, Carina; Clausen, Uwe; Kampmann, Raymond

doi:10.1007/978-3-319-21266-1_4

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…Shepherd [12] summarized over 50 journal papers that concerned modeling transportation system by SD and categorized them by the area of application including the take-up of alternate fuel vehicles, supply chain management affecting transport, highway maintenance, strategic policy, airport infrastructure and airline business cycles, and a set of emerging application areas [12]. Besides the papers mentioned by Shepherd, SD is used in many other researches of transportation problems, like urban transportation [14], freight transport [15], freight rate forming in shipping [16], transportation mode selection [17], and interaction of transportation and environment [18]. However, analysis of the railway express freight system on SD platform is still a fresh attempt.…”

Section: System Dynamics Methodologymentioning

confidence: 99%

System Dynamic Model for Simulating Demand‐Supply Interaction of Railway Express Freight System

Wang

Zhang

2017

Mathematical Problems in Engineering

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Express freight transportation is a rich seam of profit for China railway, and railway express freight system is a complex system with multiple variables and nonlinear feedback loops. This paper presents a System Dynamic Model for simulating the interaction between demand and supply of railway express freight system in China. The model consists of three submodels including economic environment, demand, supply, and investment, and its validity is verified by running in Vensim DDS software using historical data. In the simulation of period 2000-2025, the three variables are taken as control variables including growth rate of the national economy, railway express freight rate, and investment in fixed railway assets. Three scenarios for each control variable are simulated, and their effects are analyzed to provide beneficial reference for regulating the demand-supply gap of railway express freight. The simulation demonstrated that raising freight rate, adding investment in fixed railway assets, and decelerating economic growth rate are all effective ways to shrink the demand-supply gap of railway express freight. The model can be used to forecast the transport demand of railway express freight and test the outcomes of demand-supply regulating measures.

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Section: System Dynamics Methodologymentioning

confidence: 99%

System Dynamic Model for Simulating Demand‐Supply Interaction of Railway Express Freight System

Wang

Zhang

2017

Mathematical Problems in Engineering

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“…However, as will be apparent in the next section, system dynamics has been already applied in the modeling of transportation systems. For instance, Thaller et al 7 examine freight transportation models and suggest a methodological approach that would enable systems dynamics to demonstrate its capabilities when applied in the modeling and simulation of transportation systems. There have also been attempts to simulate traffic flow.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Bottom-up modeling approach and mesoscopic simulations in traffic system dynamics models

2019

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The application of system dynamics modeling in various domains enables its continuous development and improvement. Transportation systems are associated with a necessity to tame their complexity. Despite its potential, system dynamics as a specific methodological and modeling approach is implemented only occasionally and application to road transportation systems is sporadic. Existing studies focus mostly on a macroscopic level of modeling. Thus, this study demonstrates how system dynamics can develop and simulate models at the meso level. It is based on an unconventional bottom-up modeling approach grounded in the modeling of T-shaped, X-shaped, and roundabout crossroads as fundamental building blocks. Model modularity enables its extension to any type of road network with the required structure or complexity. Model applicability is verified by testing on a case study in real-life settings. Modeling issues associated with this modeling approach and application domain are explained and possible solutions proposed. By developing a bottom-up approach and mesoscopic simulations, this study brings uniqueness and a certain level of novelty into the realm of system dynamics and traffic transportation modeling and simulation.

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Simulation of an Optimized Last-Mile Parcel Delivery Network Involving Delivery Robots

Poeting

Schaudt

Clausen

2019

Advances in Production, Logistics and Traffic

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System Dynamics Based, Microscopic Freight Transport Simulation for Urban Areas

Cited by 6 publications

References 13 publications

System Dynamic Model for Simulating Demand‐Supply Interaction of Railway Express Freight System

System Dynamic Model for Simulating Demand‐Supply Interaction of Railway Express Freight System

Bottom-up modeling approach and mesoscopic simulations in traffic system dynamics models

Simulation of an Optimized Last-Mile Parcel Delivery Network Involving Delivery Robots

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