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

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 lac...

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Main Authors: Angarita-Zapata Juan S., Parra-Valencia Jorge A., Andrade-Sosa Hugo H.
Format: Article
Language:English
Published: Sciendo 2016-08-01
Series:Organizacija
Subjects:
Online Access:http://www.degruyter.com/view/j/orga.2016.49.issue-3/orga-2016-0013/orga-2016-0013.xml?format=INT
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spelling doaj-886f06b3049d4ac99c1b6819bd98bb062020-11-25T00:54:30ZengSciendoOrganizacija1581-18322016-08-0149312914310.1515/orga-2016-0013orga-2016-0013Understanding the Structural Complexity of Induced Travel Demand in Decision-Making: A System Dynamics ApproachAngarita-Zapata Juan S.0Parra-Valencia Jorge A.1Andrade-Sosa Hugo H.2School of Systems Engineering and Informatics, Universidad Industrial de Santander, SIMON Research Group, ColombiaSchool of Systems Engineering, Universidad Autónoma de Bucaramanga, Systems Thinking Research Group, ColombiaSchool of Systems Engineering and Informatics, Universidad Industrial de Santander, SIMON Research Group, ColombiaBackground 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.http://www.degruyter.com/view/j/orga.2016.49.issue-3/orga-2016-0013/orga-2016-0013.xml?format=INTinduced travel demandsystem dynamicsdecision-makingdynamic modeling
collection DOAJ
language English
format Article
sources DOAJ
author Angarita-Zapata Juan S.
Parra-Valencia Jorge A.
Andrade-Sosa Hugo H.
spellingShingle Angarita-Zapata Juan S.
Parra-Valencia Jorge A.
Andrade-Sosa Hugo H.
Understanding the Structural Complexity of Induced Travel Demand in Decision-Making: A System Dynamics Approach
Organizacija
induced travel demand
system dynamics
decision-making
dynamic modeling
author_facet Angarita-Zapata Juan S.
Parra-Valencia Jorge A.
Andrade-Sosa Hugo H.
author_sort Angarita-Zapata Juan S.
title Understanding the Structural Complexity of Induced Travel Demand in Decision-Making: A System Dynamics Approach
title_short Understanding the Structural Complexity of Induced Travel Demand in Decision-Making: A System Dynamics Approach
title_full Understanding the Structural Complexity of Induced Travel Demand in Decision-Making: A System Dynamics Approach
title_fullStr Understanding the Structural Complexity of Induced Travel Demand in Decision-Making: A System Dynamics Approach
title_full_unstemmed Understanding the Structural Complexity of Induced Travel Demand in Decision-Making: A System Dynamics Approach
title_sort understanding the structural complexity of induced travel demand in decision-making: a system dynamics approach
publisher Sciendo
series Organizacija
issn 1581-1832
publishDate 2016-08-01
description 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.
topic induced travel demand
system dynamics
decision-making
dynamic modeling
url http://www.degruyter.com/view/j/orga.2016.49.issue-3/orga-2016-0013/orga-2016-0013.xml?format=INT
work_keys_str_mv AT angaritazapatajuans understandingthestructuralcomplexityofinducedtraveldemandindecisionmakingasystemdynamicsapproach
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