Location Preferences of New Pedestrian Bridges Based on Multi-Criteria Decision-Making and GIS-Based Estimation

Non-motorized pedestrian and bicycle traffic is an effective and efficient tool for reducing the negative environmental impacts of transport and improving the quality of life in urban conditions. The strategies of creating new attractive spaces on the waterfront are prevalent amongst the municipalit...

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Main Authors: Jurgis Zagorskas, Zenonas Turskis
Format: Article
Language:English
Published: Riga Technical University Press 2020-06-01
Series:The Baltic Journal of Road and Bridge Engineering
Subjects:
Online Access:https://bjrbe-journals.rtu.lv/article/view/3989
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author Jurgis Zagorskas
Zenonas Turskis
author_facet Jurgis Zagorskas
Zenonas Turskis
author_sort Jurgis Zagorskas
collection DOAJ
description Non-motorized pedestrian and bicycle traffic is an effective and efficient tool for reducing the negative environmental impacts of transport and improving the quality of life in urban conditions. The strategies of creating new attractive spaces on the waterfront are prevalent amongst the municipalities in different countries. This kind of development intends the construction of new connection bridges, usually meant solely for walking and cycling. There are a significant number of studies covering the theme of pedestrian bridges, but the studies typically focus on technical parameters – serviceability, stress and vibrations, specifications for the design. Researchers and stakeholders rarely discuss displacement strategy, expenditure and future usability. This study aims to find out the best and the most useful bridge locations that would contribute to pedestrian network improvement, would add value to city image and give other benefits. A novel hybrid Multi-Criteria Decision-Making (MCDM) model, based on five different multi-criteria decision-making methods: Multiplicative Exponential Weighting (MEW), method of Evaluation Based on Distance from Average Solution (EDAS), an Additive Ratio Assessment (ARAS) method, expert judgement, and Step‐Wise Weight Assessment Ratio Analysis (SWARA), is presented. A developed model allows solving complicated problems and finding a rationally, balanced solution. Arguments derived from this study help politicians and town planners as well as society.
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publishDate 2020-06-01
publisher Riga Technical University Press
record_format Article
series The Baltic Journal of Road and Bridge Engineering
spelling doaj-art-10f21239ea2646ff835f7ed1855f73e82025-01-02T01:19:51ZengRiga Technical University PressThe Baltic Journal of Road and Bridge Engineering1822-427X1822-42882020-06-0115215818110.7250/bjrbe.2020-15.4782242Location Preferences of New Pedestrian Bridges Based on Multi-Criteria Decision-Making and GIS-Based EstimationJurgis Zagorskas0Zenonas Turskis1Dept of Roads, Vilnius Gediminas Technical University, Vilnius, LithuaniaLaboratory of Operational Research, Institute of Sustainable Construction, Vilnius Gediminas Technical University, Vilnius, LithuaniaNon-motorized pedestrian and bicycle traffic is an effective and efficient tool for reducing the negative environmental impacts of transport and improving the quality of life in urban conditions. The strategies of creating new attractive spaces on the waterfront are prevalent amongst the municipalities in different countries. This kind of development intends the construction of new connection bridges, usually meant solely for walking and cycling. There are a significant number of studies covering the theme of pedestrian bridges, but the studies typically focus on technical parameters – serviceability, stress and vibrations, specifications for the design. Researchers and stakeholders rarely discuss displacement strategy, expenditure and future usability. This study aims to find out the best and the most useful bridge locations that would contribute to pedestrian network improvement, would add value to city image and give other benefits. A novel hybrid Multi-Criteria Decision-Making (MCDM) model, based on five different multi-criteria decision-making methods: Multiplicative Exponential Weighting (MEW), method of Evaluation Based on Distance from Average Solution (EDAS), an Additive Ratio Assessment (ARAS) method, expert judgement, and Step‐Wise Weight Assessment Ratio Analysis (SWARA), is presented. A developed model allows solving complicated problems and finding a rationally, balanced solution. Arguments derived from this study help politicians and town planners as well as society.https://bjrbe-journals.rtu.lv/article/view/3989multi-criteria decision-making (mcdm)pedestrian accessibilitypedestrian bridgesriverside regeneration and developmentroad safetyspace syntaxsustainable transportation
spellingShingle Jurgis Zagorskas
Zenonas Turskis
Location Preferences of New Pedestrian Bridges Based on Multi-Criteria Decision-Making and GIS-Based Estimation
The Baltic Journal of Road and Bridge Engineering
multi-criteria decision-making (mcdm)
pedestrian accessibility
pedestrian bridges
riverside regeneration and development
road safety
space syntax
sustainable transportation
title Location Preferences of New Pedestrian Bridges Based on Multi-Criteria Decision-Making and GIS-Based Estimation
title_full Location Preferences of New Pedestrian Bridges Based on Multi-Criteria Decision-Making and GIS-Based Estimation
title_fullStr Location Preferences of New Pedestrian Bridges Based on Multi-Criteria Decision-Making and GIS-Based Estimation
title_full_unstemmed Location Preferences of New Pedestrian Bridges Based on Multi-Criteria Decision-Making and GIS-Based Estimation
title_short Location Preferences of New Pedestrian Bridges Based on Multi-Criteria Decision-Making and GIS-Based Estimation
title_sort location preferences of new pedestrian bridges based on multi criteria decision making and gis based estimation
topic multi-criteria decision-making (mcdm)
pedestrian accessibility
pedestrian bridges
riverside regeneration and development
road safety
space syntax
sustainable transportation
url https://bjrbe-journals.rtu.lv/article/view/3989
work_keys_str_mv AT jurgiszagorskas locationpreferencesofnewpedestrianbridgesbasedonmulticriteriadecisionmakingandgisbasedestimation
AT zenonasturskis locationpreferencesofnewpedestrianbridgesbasedonmulticriteriadecisionmakingandgisbasedestimation