<abstract xmlns="http://www.w3.org/1999/xhtml"> Background and purpose: Induced travel demand (ITD) is a phenomenon where road construction increases vehicles’ kilometers traveled. It has been approached with econometric models that use elasticities as measure to estimate how much travel demand can be induced by new roads. However, there is a lack of “white-box” models with causal hypotheses that explain the structural complexity underlying this phenomenon. We propose a system dynamics model based on a feedback mechanism to explain structurally ITD. Methodology: A system dynamics methodology was selected to model and simulate ITD. First, a causal loop diagram is proposed to describe the ITD structure in terms of feedback loops. Then a stock-flows diagram is formulated to allow computer simulation. Finally, simulations are run to show the quantitative temporal evolution of the model built. Results: The simulation results show how new roads in the short term induce more kilometers traveled by vehicles already in use; meanwhile, in the medium-term, new traffic is generated. These new car drivers appear when better flow conditions coming from new roads increase attractiveness of car use. More cars added to vehicles already in use produce new traffic congestion, and high travel speeds provided by roads built are absorbed by ITD effects. Conclusion: We concluded that approaching ITD with a systemic perspective allows for identifying leverage points that contribute to design comprehensive policies aimed to cope with ITD. In this sense, the model supports decision- making processes in urban contexts wherein it is still necessary for road construction to guarantee connectivity, such as the case of developing countries.</abstract>

Background and purpose: Induced travel demand (ITD) is a phenomenon where road construction increases vehicles’ kilometers traveled. It has been approached with econometric models that use elasticities as measure to estimate how much travel demand can be induced by new roads. However, there is a lack of “white-box” models with causal hypotheses that explain the structural complexity underlying this phenomenon. We propose a system dynamics model based on a feedback mechanism to explain structurally ITD. Methodology: A system dynamics methodology was selected to model and simulate ITD. First, a causal loop diagram is proposed to describe the ITD structure in terms of feedback loops. Then a stock-flows diagram is formulated to allow computer simulation. Finally, simulations are run to show the quantitative temporal evolution of the model built. Results: The simulation results show how new roads in the short term induce more kilometers traveled by vehicles already in use; meanwhile, in the medium-term, new traffic is generated. These new car drivers appear when better flow conditions coming from new roads increase attractiveness of car use. More cars added to vehicles already in use produce new traffic congestion, and high travel speeds provided by roads built are absorbed by ITD effects. Conclusion: We concluded that approaching ITD with a systemic perspective allows for identifying leverage points that contribute to design comprehensive policies aimed to cope with ITD. In this sense, the model supports decision- making processes in urban contexts wherein it is still necessary for road construction to guarantee connectivity, such as the case of developing countries.

Understanding the Structural Complexity of Induced Travel Demand in Decision-Making: A System Dynamics Approach

School of Systems Engineering and Informatics, Universidad Industrial de Santander, SIMON Research Group, Colombia

School of Systems Engineering, Universidad Autónoma de Bucaramanga, Systems Thinking Research Group, Colombia

Organizacija

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Background and purpose: Induced travel demand (ITD) is a phenomenon where road construction increases vehicles’ kilometers traveled. It has been approached...

Understanding the Structural Complexity of Induced Travel Demand in Decision-Making: A System Dynamics Approach

Online veröffentlicht: 17. Sept. 2016

Seitenbereich: 129 - 143

Eingereicht: 06. Mai 2016

Akzeptiert: 26. Juli 2016

DOI: https://doi.org/10.1515/orga-2016-0013

Schlüsselwörter
induced travel demand, system dynamics, decision-making, dynamic modeling

© by Juan S. Angarita-Zapata

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Understanding the Structural Complexity of Induced Travel Demand in Decision-Making: A System Dynamics Approach

Online veröffentlicht: 17. Sept. 2016

Seitenbereich: 129 - 143

Eingereicht: 06. Mai 2016

Akzeptiert: 26. Juli 2016

DOI: https://doi.org/10.1515/orga-2016-0013

Schlüsselwörterinduced travel demand, system dynamics, decision-making, dynamic modeling

© by Juan S. Angarita-Zapata

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
induced travel demand, system dynamics, decision-making, dynamic modeling