Quantifying emission and cost reduction potentials of Corporate Mobility as a Service

Abstract

Corporate Mobility as a Service (CMaaS) combines the advantages of company-exclusive and public mobility services, like carsharing, bikesharing, or taxis. Although prior research indicates that CMaaS has positive impacts on the GHG emissions and costs of corporate mobility, detailed analyses are still lacking. Against this background, we propose a methodology to quantify the potentials of CMaaS to reduce the GHG emissions and costs of corporate mobility. We apply a cost estimation, a Life Cycle Assessment, and a multi-objective optimization model to determine the pareto-optimal CMaaS designs for companies aiming to minimize GHG emissions and costs. Within the CMaaS design, we determine the fleet size and composition of company-exclusive, and the choice of price tariffs for public mobility services. By applying our methodology to a comprehensive case study that covers 428 driving profiles of 144 different companies, we deduce general insights on the potentials of CMaaS.