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Advisor(s)
Abstract(s)
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
Description
Keywords
Street for People AHP-Gaussian WISP method Urban Pavement Multicriterial Decision-Making Case Study
Pedagogical Context
Citation
Kowalski, Luiz F., Masiero, Érico, Lopes, António M. S., Santos, Marcos dos, & Simões, Carlos F. S., Stanujkić, Dragišaf (2024). Designing streets for people: a multicriteria decision-making study. Serbian Journal of Management, 19(2), 275-291. https://doi.org/10.5937/sjm19-48257
Publisher
University of Belgrade, Technical Faculty