Sustainable benchmarking of e-scooter micromobility systems: A hybrid q-rung orthopair fuzzy score function and distance measure-based ranking approach
Micromobility is an innovative urban transport solution that can effectively tackle greenhouse gases and reduce
the use of private vehicles, especially for short-distance travel options. As a type of shared micromobility service,
the electric scooter (e-scooter) is designed to provide convenient and quick rides for short distances. The
constantly growing adoption of these emerging transportation technologies brings many factors to be considered.
In this paper, we evaluate the available e-scooters and identify the most appropriate choice with respect to
several factors. To this aim, we propose a decision support tool with the combination of modified symmetry point
of criterion (SPC), the pivot pairwise relative criteria importance assessment (PIPRECIA), and the weighted
aggregated sum product assessment (WASPAS) approaches under the setting of q-rung orthopair fuzzy (q-ROF)
sets. First, the developed method calculates the significance values of decision experts through a new q-ROFscore
function. Next, the criteria weights are determined using an incorporated objective-subjective weighting
model. It comprises a q-ROF-modified SPC tool for objective weighting and a q-ROF-PIPRECIA tool for subjective
weighting. Subsequently, we present the stepwise mathematical algorithm of a q-ROF-WASPAS approach using
q-ROF aggregation operators and criteria weighting tools. To verify the compatibility and effectiveness of the
introduced model, it is applied to evaluate and prioritize the e-scooters under the q-ROF environment. Sensitivity
analysis is made to examine the impact of varying values of weighting and utility parameters. The efficiency of
the introduced approach is confirmed by different comparative investigations.
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