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Projeto de investigação
Institute for Systems Engineering and Computers at Coimbra
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Publicações
Sidewalk infrastructure assessment using a multicriteria methodology for maintenance planning
Publication . Sousa, Nuno; Rodrigues, João Coutinho; Jesus, Eduardo Natividade
Sidewalks constitute the main guideway for the walking mode of transport and serve as a fundamental infrastructure for personal travel including commuting. This is because practically every motorized trip is preceded or concluded by nonmotorized travel. The assessment of sidewalk performance, in the sense of its suitability for walking, involves consideration of multiple aspects, whose precise treatment requires in turn the use of multicriteria methods to support decisions. This article proposes a multicriteria methodology for this purpose, thus setting the stage for a subsequent agency decision regarding maintenance strategy development. The methodology is based on a set of infrastructure attributes, directly intervenable by these authorities, and uses the ELECTRE TRI method to assign sidewalks under study to performance classes. It is practical to use and can be applied to any city, at any scale. The approach is thoroughly discussed, and demonstrated for a case study comprising several sidewalks in the city of Coimbra, Portugal. The results indicate that a considerable fraction of these sidewalks are in mediocre condition, and the multicriteria classifying methodology readily suggested intervention strategies, effectively aiding in the decision making.
A spatial statistics methodology for inspector allocation against fare evasion
Publication . Freiria, Susana; Sousa, Nuno
This article discusses public transport fare evasion from the point of view of the relations
between inspection actions and detected evasion, with the aim of improving the efficacy of
the former. By applying spatial statistics methods to a large dataset from Lisbon, Portugal,
namely, entropy-based local bivariate relationships (LBR) and geographically weighted
regression (GWR), it is shown that the two variables are associated in a widespread manner
throughout the city, mostly in a linear way. Mapping out marginal gains from inspection
actions then shows where they detect the most evaders, allowing transport companies to
relocate their inspector teams in a more effective manner. Results for Lisbon show that
gains in effectiveness of circa 50% can be obtained, mostly by moving some inspector teams
from the centre of the city to the periphery during daytime. The methodology requires
only inspection/detection databases, which transport companies usually have, making it a
valuable, practical tool to combat fare evasion.
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Entidade financiadora
Fundação para a Ciência e a Tecnologia
Programa de financiamento
6817 - DCRRNI ID
Número da atribuição
UID/Multi/00308/2013