Research Information System
EXPERT SYSTEMS WITH APPLICATIONS, vol.301, 2026 (SCI-Expanded, Scopus)
Cities are under pressure to provide mobility options that reduce car dependence while improving connectivity. One promising strategy is the development of integrated electric mobility hubs (e-Hubs), yet their success depends heavily on where they are located. This study proposes a decision framework that links GIS analysis with a parsimonious spherical fuzzy AHP to identify the most suitable locations for e-hubs. The framework, designed to manage multiple spatial criteria and account for expert uncertainty while minimizing the complexity of pairwise comparisons, was applied to Dublin using 32 indicators grouped into eight themes. The results highlight central districts such as D01, D02, D04, D06, D07, and D08 as the most suitable areas, reflecting their dense population, multimodal transport links, and concentration of destinations. In contrast, outer districts scored lower due to weaker networks and more dispersed development. Beyond producing a suitability map, the study offers a transferable method that can guide policymakers in planning and prioritizing sustainable mobility investments.