Mode Choice Change under Environmental Constraints in the Combined Modal Split and Traffic Assignment Model

With the increasing level of air pollution and fine dust, many countries are trying to prevent further environmental damage, with various government legislations, such as the Kyoto Protocol and the Paris Agreement. In the transportation field, a variety of environmental protection schemes are also b...

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Main Author: Seungkyu Ryu
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/7/3780
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spelling doaj-3b8383bf419a4d5b82d64d1035b1c6a82021-03-29T23:03:42ZengMDPI AGSustainability2071-10502021-03-01133780378010.3390/su13073780Mode Choice Change under Environmental Constraints in the Combined Modal Split and Traffic Assignment ModelSeungkyu Ryu0Department of Data Centric Problem Solving Research, Korea Institute of Science and Technology Information, Dajeon 34141, KoreaWith the increasing level of air pollution and fine dust, many countries are trying to prevent further environmental damage, with various government legislations, such as the Kyoto Protocol and the Paris Agreement. In the transportation field, a variety of environmental protection schemes are also being considered (e.g., banning old diesel vehicles, alternate no-driving systems, electric car subsidies, and environmental cost charging by tax). Imposing environmental constraints is a good approach to reflect various environmental protections. The objective of this research was to analyze the mode-choice and route-choice changes based on imposing environmental constraints. For the objective, a combined modal split and traffic assignment (CMA) model with an environmental constraint model was developed. For the environmental constraint, carbon monoxide (CO) was adopted, because most of the CO emissions in the air are emitted by motorized vehicles. After a detailed description of the model, the validity and some properties of the model and algorithm are demonstrated with two numerical examples (e.g., a small and a real network in the city of Winnipeg, Canada). From the numerical results, we can observe that imposing the small restriction (or strict) value has more efficiency in mode change and reducing network emission.https://www.mdpi.com/2071-1050/13/7/3780mode choiceenvironmental constraintvehicle restrictioncombined modal split and traffic assignment
collection DOAJ
language English
format Article
sources DOAJ
author Seungkyu Ryu
spellingShingle Seungkyu Ryu
Mode Choice Change under Environmental Constraints in the Combined Modal Split and Traffic Assignment Model
Sustainability
mode choice
environmental constraint
vehicle restriction
combined modal split and traffic assignment
author_facet Seungkyu Ryu
author_sort Seungkyu Ryu
title Mode Choice Change under Environmental Constraints in the Combined Modal Split and Traffic Assignment Model
title_short Mode Choice Change under Environmental Constraints in the Combined Modal Split and Traffic Assignment Model
title_full Mode Choice Change under Environmental Constraints in the Combined Modal Split and Traffic Assignment Model
title_fullStr Mode Choice Change under Environmental Constraints in the Combined Modal Split and Traffic Assignment Model
title_full_unstemmed Mode Choice Change under Environmental Constraints in the Combined Modal Split and Traffic Assignment Model
title_sort mode choice change under environmental constraints in the combined modal split and traffic assignment model
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-03-01
description With the increasing level of air pollution and fine dust, many countries are trying to prevent further environmental damage, with various government legislations, such as the Kyoto Protocol and the Paris Agreement. In the transportation field, a variety of environmental protection schemes are also being considered (e.g., banning old diesel vehicles, alternate no-driving systems, electric car subsidies, and environmental cost charging by tax). Imposing environmental constraints is a good approach to reflect various environmental protections. The objective of this research was to analyze the mode-choice and route-choice changes based on imposing environmental constraints. For the objective, a combined modal split and traffic assignment (CMA) model with an environmental constraint model was developed. For the environmental constraint, carbon monoxide (CO) was adopted, because most of the CO emissions in the air are emitted by motorized vehicles. After a detailed description of the model, the validity and some properties of the model and algorithm are demonstrated with two numerical examples (e.g., a small and a real network in the city of Winnipeg, Canada). From the numerical results, we can observe that imposing the small restriction (or strict) value has more efficiency in mode change and reducing network emission.
topic mode choice
environmental constraint
vehicle restriction
combined modal split and traffic assignment
url https://www.mdpi.com/2071-1050/13/7/3780
work_keys_str_mv AT seungkyuryu modechoicechangeunderenvironmentalconstraintsinthecombinedmodalsplitandtrafficassignmentmodel
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