Personne : Abi-Zeid, Irène
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Université Laval. Département d'opérations et systèmes de décision
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- PublicationRestreintBuilding a shared model for multi-criteria group decision making : experience from a case study for sustainable transportation planning in Quebec City(Springer, 2017) Abi-Zeid, Irène; Marleau Donais, Francis; Lavoie, RoxaneShared procedures to build a consensus within a group decision process are sometimes used in multi-criteria decision-making. Facilitators often face several challenges and the solutions to overcome them are scarce and not well documented. This paper presents a case study within a decision framework that combines problem structuring with the multi-criteria decision aid method MACBETH in order to build a shared preference model. The framework was applied in a transportation planning context with a group of professionals from Quebec City, Canada to assess and rank streets as a function of their potential to become Complete Streets. The analysis of the process showed that difficulties in expressing preferences, access to data during workshops, group size, group discussion management, and project length were encountered. Nonetheless, the proposed framework and the use of sub-groups to build criteria scales were a way to overcome these challenges and allowed us to successfully complete the project.
- PublicationAccès libreA review of cost–benefit analysis and multicriteria decision analysis from the perspective of sustainable transport in project evaluation(Heidelberg Springer, 2019-10-08) Waygood, Edward Owen Douglas; Abi-Zeid, Irène; Marleau Donais, Francis; Lavoie, RoxaneTransport decision processes have traditionally applied cost-benefit analysis (CBA) with benefits mainly relating to time savings, and costs relating to infrastructure and maintenance costs. However, a shift toward more sustainable practices was initiated over the last decades to remedy the many negative impacts of automobility. As a result, decision processes related to transport projects have become more complex due to the multidimensional aspects and to the variety of stakeholders involved, often with conflicting points of view. To support rigorous decision making, multicriteria decision analysis (MCDA) is, in addition to CBA, often used by governments and cities. However, there is still no consensus in the transport field regarding a preferred method that can integrate sustainability principles. This paper presents a descriptive literature review related to MCDA and CBA in the field of transport. Among the 66 considered papers, we identified the perceived strengths and weaknesses of CBA and MCDA, the different ways to combine them and the ability of each method to support sustainable transport decision processes. We further analysed the results based on four types of rationality (objectivist, conformist, adjustive and reflexive). Our results show that both methods can help improve the decision processes and that, depending on the rationality adopted, the perceived strengths and weaknesses of MCDA and CBA can vary. Nonetheless, we observe that by adopting a more global and holistic perspective and by facilitating the inclusion of a participative process, MCDA, or a combination of both methods, emerge as the more promising appraisal methods for sustainable transport.
- PublicationAccès libreAssessing and ranking the potential of a street to be redesigned as a complete street: a multi-criteria decision aiding approach(Elsevier, 2019-03-05) Waygood, Edward Owen Douglas; Abi-Zeid, Irène; Marleau Donais, Francis; Lavoie, RoxaneIn order to increase the sustainability of transportation in cities, streets must provide infrastructures that favor active and public transportation modes. However, the current decision-making processes in transportation projects do not always explicitly take into account sustainable transportation requirements and often ignore concerns that may arise in other fields such as environmental protection, health, or urban design. The proposed framework in this paper aims at integrating sustainability in a decision-making process by creating better collaboration and communication between professionals of such disparate fields. The framework is based on group workshops, problem structuring, multi-criteria decision aiding and geographic information systems. It was applied in Quebec City, Canada. The objective of the workshops was to identify higher priority streets that should be redesigned as Complete Streets, a popular movement that advocates “streets for everyone” in North America. To facilitate communication and use for future decisions, the results of the analysis were integrated and presented in a geographic information system. As a result, this user-friendly tool is currently used to support decision-making by Quebec City officials who must choose the streets to be redesigned as Complete Streets while ensuring transparency and traceability. Such an approach may better support policies to make the transport system more sustainable by integrating various considerations, being transparent and improving communication of the outcome.
- PublicationAccès libreA framework for post-project evaluation of multicriteria decision aiding processes from the stakeholders’ perspective : design and application(London Dordrecht Boston Kluwer Academic Publishers, 2021-08-02) Waygood, Edward Owen Douglas; Abi-Zeid, Irène; Marleau Donais, Francis; Lavoie, RoxaneNumerous multicriteria decision aiding (MCDA) methods have been developed over the last decades and are now applied in various domains, sometimes using facilitated group workshops to create models. These models are all designed to improve decision processes. However, the lack of follow-up and post-project evaluations limit the understanding of how the participants experienced the group workshops and how the results were subsequently used within the organization. This is in contrast with the public participation research field, where a rich literature was developed for a posteriori evaluation of projects. Based on this literature, our research proposes a framework to evaluate, ex-post, MCDA projects. In order to illustrate this framework, we apply it to an MCDA project in Quebec City where a spatial decision support system to prioritize the redesign of streets as Complete Streets was built. Individual interviews were conducted with the Quebec City professionals that currently use, were leaders of the project, or have participated in the development of the decision support system. This research has identified that the need for change of practices within the workplace, communication problems, and the requirement for multidisciplinary work were at the root of the various challenges encountered during the workshops. Based on our experience, we propose some lessons learned and potential solutions that can enhance the body of literature in MCDA.
- PublicationRestriction temporaireAnt colony optimization for path planning in search and rescue operations(Elsevier, 2022-06-12) Morin, Michael; Abi-Zeid, Irène; Quimper, Claude-GuyIn search and rescue operations, an efficient search path, colloquially understood as a path maximizing the probability of finding survivors, is more than a path planning problem. Maximizing the objective adequately, i.e., quickly enough and with sufficient realism, can have substantial positive impact in terms of human lives saved. In this paper, we address the problem of efficiently optimizing search paths in the context of the NP-hard optimal search path problem with visibility, based on search theory. To that end, we evaluate and develop ant colony optimization algorithm variants where the goal is to maximize the probability of finding a moving search object with Markovian motion, given a finite time horizon and finite resources (scans) to allocate to visible regions. Our empirical results, based on evaluating 96 variants of the metaheuristic with standard components tailored to the problem and using realistic size search environments, provide valuable insights regarding the best algorithm configurations. Furthermore, our best variants compare favorably, especially on the larger and more realistic instances, with a standard greedy heuristic and a state-of-the-art mixed-integer linear program solver. With this research, we add to the empirical body of evidence on an ant colony optimization algorithms configuration and applications, and pave the way to the implementation of search path optimization in operational decision support systems for search and rescue.