Designing streets for people: a multicriteria decision-making study

Designing Streets for People involves selecting appropriate materials, determining the optimal configuration, and finding the best solution based on technical criteria for urban structures. This paper aims to identify the best solution by comparing two multicriteria decision-making methods: the WISP...

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Main Authors: Luiz Fernando Kowalski, Érico Masiero, António Manuel Saraiva Lopes, Marcos dos Santos, Carlos Francisco Simões Gomes, Dragiša Stanujkić
Format: Article
Language:English
Published: University in Belgrade 2024-11-01
Series:Serbian Journal of Management
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Online Access:https://aseestant.ceon.rs/index.php/sjm/article/view/48257/26449
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author Luiz Fernando Kowalski
Érico Masiero
António Manuel Saraiva Lopes
Marcos dos Santos
Carlos Francisco Simões Gomes
Dragiša Stanujkić
author_facet Luiz Fernando Kowalski
Érico Masiero
António Manuel Saraiva Lopes
Marcos dos Santos
Carlos Francisco Simões Gomes
Dragiša Stanujkić
author_sort Luiz Fernando Kowalski
collection DOAJ
description Designing Streets for People involves selecting appropriate materials, determining the optimal configuration, and finding the best solution based on technical criteria for urban structures. This paper aims to identify the best solution by comparing two multicriteria decision-making methods: the WISP (Weighted Sum-Product) and AHP-Gaussian, which represents a recent algorithm for the Analytical Hierarchy Process (AHP) decision- making. We created a matrix with eight factors (cost, braking distance, lifetime, sidewalk width, carbon footprint, electricity consumption, and pavement temperature) to choose between four pavement options (concrete and asphalt with different sidewalk widths). The WISP recommended a concrete pavement and 2.0-meter sidewalk. The least viable option was asphalt pavement with a 1.2-meter sidewalk, due to its higher carbon footprint (12%), increased air temperatures (10%), and greater public lighting expenses (11%). WISP allows for assigning weights to criteria with robustness, computational effectiveness, and transparency. Conversely, AHP-Gaussian incorporates a sensitivity feature that lets decision-makers assign weights based on statistical analysis. Despite each method's limitations, both are suitable for urban projects, estimating decisions based on multiple technical aspects, thereby promoting more integrated and efficient choices.
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issn 1452-4864
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publishDate 2024-11-01
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series Serbian Journal of Management
spelling doaj-art-85e6038379984e8ca4f03d086e296cab2025-08-20T01:55:02ZengUniversity in BelgradeSerbian Journal of Management1452-48642217-71592024-11-0119227529110.5937/sjm19-48257Designing streets for people: a multicriteria decision-making studyLuiz Fernando Kowalski 0https://orcid.org/0000-0003-2450-3561Érico Masiero 1https://orcid.org/0000-0001-8665-335XAntónio Manuel Saraiva Lopes 2https://orcid.org/0000-0002-9357-7639Marcos dos Santos3https://orcid.org/0000-0003-1533-5535Carlos Francisco Simões Gomes 4https://orcid.org/0000-0002-6865-0275Dragiša Stanujkić5https://orcid.org/0000-0002-6846-3074Federal University of São Carlos, São Carlos -SP, Brazil. Civil Engineering Department (DECiv). Rod. Washington Luís, s/n - Monjolinho, São Carlos - SP, 13565-905, BrazilFederal University of São Carlos, São Carlos -SP, Brazil. Civil Engineering Department (DECiv). Rod. Washington Luís, s/n - Monjolinho, São Carlos - SP, 13565-905, BraziUniversity of Lisbon. Institute of Geography and Spatial Planning (IGOT). R. Branca Edmée Marques, Lisbon, 1600-276, PortugalMilitary Institute of Engineering – IME. Pça. Gen. Tibúrcio 80, Rio de Janeiro, RJ, 22290-270, BrazilFluminense Federal University – UFF. Rua Passo da Pátria, 156, São Domingos, Niterói, RJ, 24210-240, BrazilUniversity of Belgrade, Technical faculty in Bor, Vojske Jugoslavije 12, 19210 Bor, SerbiaDesigning Streets for People involves selecting appropriate materials, determining the optimal configuration, and finding the best solution based on technical criteria for urban structures. This paper aims to identify the best solution by comparing two multicriteria decision-making methods: the WISP (Weighted Sum-Product) and AHP-Gaussian, which represents a recent algorithm for the Analytical Hierarchy Process (AHP) decision- making. We created a matrix with eight factors (cost, braking distance, lifetime, sidewalk width, carbon footprint, electricity consumption, and pavement temperature) to choose between four pavement options (concrete and asphalt with different sidewalk widths). The WISP recommended a concrete pavement and 2.0-meter sidewalk. The least viable option was asphalt pavement with a 1.2-meter sidewalk, due to its higher carbon footprint (12%), increased air temperatures (10%), and greater public lighting expenses (11%). WISP allows for assigning weights to criteria with robustness, computational effectiveness, and transparency. Conversely, AHP-Gaussian incorporates a sensitivity feature that lets decision-makers assign weights based on statistical analysis. Despite each method's limitations, both are suitable for urban projects, estimating decisions based on multiple technical aspects, thereby promoting more integrated and efficient choices.https://aseestant.ceon.rs/index.php/sjm/article/view/48257/26449street for peopleahp-gaussianwisp methodurban pavementmulticriterial decision-makingcase study
spellingShingle Luiz Fernando Kowalski
Érico Masiero
António Manuel Saraiva Lopes
Marcos dos Santos
Carlos Francisco Simões Gomes
Dragiša Stanujkić
Designing streets for people: a multicriteria decision-making study
Serbian Journal of Management
street for people
ahp-gaussian
wisp method
urban pavement
multicriterial decision-making
case study
title Designing streets for people: a multicriteria decision-making study
title_full Designing streets for people: a multicriteria decision-making study
title_fullStr Designing streets for people: a multicriteria decision-making study
title_full_unstemmed Designing streets for people: a multicriteria decision-making study
title_short Designing streets for people: a multicriteria decision-making study
title_sort designing streets for people a multicriteria decision making study
topic street for people
ahp-gaussian
wisp method
urban pavement
multicriterial decision-making
case study
url https://aseestant.ceon.rs/index.php/sjm/article/view/48257/26449
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