Ahmad Ghorbanpour

Abstract: The main purpose of this research is to design a multi-level model of service drivers to provide sustainable urban services by considering uncertainty. First, by reviewing the literature, twenty-seven service drivers are identified and using the content analysis approach (CAA) common service drivers are combined and then, a few of them, which required low frequency, are removed from the list of statistics. Then, by using the experts opinions and CAA, service driver adaptation is performed for our case study. The demographic population of this study includes managers, deputies and experts working in the municipalities of Bushehr province. In order to analyze the data, an interpretive structural modelling is employed. Findings show that the incentives of rules and regulations, energy management, social responsibility, recycling management, carbon emission management, service management services and education and culture are at the root levels of the model, and they have higher impact.