An Integrated Approach to Select Key Quality Indicators in Transit Services

• DOI: 10.1007/s11205-020-02284-0
• Publication Date: 2020-02-10T02:02:40Z
• Authors: Benedetto Barabino; Nicola Aldo Cabras; Claudio Conversano; Alessandro Olivo
• Keywords: 11. Sustainability; 0502 economics and business; 05 social sciences; Transit service quality monitoring; Transit service quality indicators; Monte Carlo simulation; Integrated Approach; Transit service quality monitoring; Transit service quality indicators; Monte Carlo simulation; Integrated approach

Recent interests in transit services have captured attention of experts on the monitoring of public transport quality. Previous research focused on relevant models and methods to monitor the quality of transit services and showed where and when different service quality levels occur. However, there was little attention to detect objectively a pool of key quality indicators (KQI) to be monitored, from a large set. This paper covers this gap by the proposal of an integrated approach, which identifies a long list of KQI, defines their properties, involves experts to elicit judgments for each KQI, evaluates the long list, and points out the most promising set. This integrated approach is demonstrated with an application based on an international survey and a Monte Carlo simulation method. Moreover, a restricted and relevant set of 9 overlapping KQI is derived by linking these results with those obtained from two different approaches.