An AHP-based method to assess the introduction of electric cars in a public administration

Abstract

The adoption of electric vehicles in an organization's fleet can provide an emission-free urban transport, but such decision must be assessed from different perspectives (e.g. economic, environmental, social, etc.), particularly when there are multiple goals and stakeholders. The article presents a multiple criteria evaluation method which can be applied to support the decision on the adoption of electric cars by a public administration. The method has two main phases: analysis by indicators and multi-criteria analysis. The first phase can provide analytic results for each category of indicators, but the values are treated only in a disaggregate way and not summarized in a global indicator. Thus the multi-criteria methodology can provide an overall assessment of the alternatives based on the aggregation of the values obtained for all criteria (i.e. indicators). In summary, the goal of the method is to employ several indicators to measure the expected effects and synthesize them in an overall judgement, taking into consideration the different stakeholders points of view. The case study presented in the paper is an application of the structured evaluation method to the university fleet. The fleet consists of 24 cars with an average of only 5700 kilometres travelled. The indicators have been classified according to different impact areas: Economy, Energy, Environment, Society

Comparing Power Supply Technologies for Public Transport Buses through the AHP and the Fuzzy DEMATEL Method

“…Several studies are available in the literature that describe the adoption of the AHP method to evaluate a variety of transport-related problems, also with reference to a multi-actor context (cf. [38,39]). The AHP method is a well-known multi-criteria evaluation method which was created by Professor T. L. Saaty in the 1970s [36,37].…”

“…Several studies are available in the literature that describe the adoption of the AHP method to evaluate a variety of transport-related problems, also with reference to a multi-actor context (cf. [38,39]).…”

Optimization of multi‐response biodiesel fueled diesel engine parameters using Taguchi grey relational analysis and analytical hierarchy process

“…This process helps the people to make the most appropriate arrangement qualitatively and quantitatively for selecting the best option. The use of AHP in many decision‐making applications shows its popularity 41–44 …”

“…The use of AHP in many decision-making applications shows its popularity. [41][42][43][44] The objective of the present study is to optimize the combination of fuel blend, CR, and a load of linseed methyl ester/petrodiesel fed single-cylinder diesel engine to improve the performance, combustion and to reduce the emission characteristics. An orthogonal array L 9 used to arrange the input factors and their levels in nine numbers of experiments.…”