Facilitating Sustainable Logistics Policy Development Using Multicriteria Satisfaction Analysis: A Case of Preference Mapping for Cargo Bike Last-Mile Delivery

Abstract

We recommend facilitating sustainable logistics policy development using multicriteria satisfaction analysis. With regard to this policy recommendation, through a case study of preference mapping for cargo bike last-mile delivery we demonstrate the following: (1) The proposed MUlticriteria Satisfaction Analysis (MUSA) based public perception elicitation survey tool offers an alternative approach to map public preferences in sustainable policy decision-making; (2) The findings suggests different cities have different sustainability priorities for sustainable urban freight transport; and (3) City managers and logistics practitioners could offer tailored policies and services to address citizens’ needs.