A goal-oriented approach based on fuzzy axiomatic design for sustainable mobility project selection

ABSTRACT

Sustainable mobility project evaluation is a challenging problem for transportation decision-makers. The specific context of each city, involvement of multiple objectives of stakeholders, governmental priorities, uncertainty about evaluation process and metrics combined with lack of quantitative data make the problem challenging. Existing techniques for project selection often ignore proximity of criteria scores to targets values (or goals) which can lead to sub-optimal solutions. In this paper, we propose a goal-oriented approach based on fuzzy axiomatic design for prioritising sustainable mobility projects. The criteria (attributes) for sustainability evaluation are generated using affinity diagram technique. Fuzzy Delphi technique is used to rate the criteria and the alternatives. The final rankings for the urban mobility projects are generated using fuzzy axiomatic design and the best project(s) are chosen for implementation. Sensitivity analysis is conducted to determine the influence of variation in input parameters on stability of model results. A numerical application for ranking of three sustainable mobility projects in the context of city of Luxembourg is provided.

KEYWORDS:

• Sustainable mobility
• axiomatic design (AD)
• affinity diagram
• Delphi technique
• fuzzy set theory

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Anjali Awasthi

Anjali Awasthi is Associate Professor at Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal. Her areas of interest are sustainable mobility, sustainable city logistics, sustainable supply chain management, quality assurance in supply chain management, and Information Technology and decision making. She is the author of several journal and conference papers on these topics.

Hichem Omrani

Hichem Omrani is senior researcher at Luxembourg Institute of Socio Economic Sciences (LISER).His research focuses on data science, complex systems modeling, agent based systems, multicriteria decision making, urban mobility and policy evaluation. He is involved in several industry projects and publications on these topics.