An Integrated Decision Support Model for effective Institutional Coordination Framework in Public Transportation Planning

Abstract

The lack of coordination among global institutions responsible for planning public transportation is a persistent issue. To tackle this issue, three strategies aimed at promoting sustainability have been proposed. However, there is a significant deficiency in preferentially prioritizing them, which poses a significant issue for local governments. In this study, a two-stage model is established by combining the Step-wise Weight Assessment Ratio Analysis and the Technique for Order of Preference by Similarity to Ideal Solution methods into a unique interval-valued spherical fuzzy framework. This allows for determining the criteria weights and ranking the strategies. The results of our investigation show that effective institutional coordination in public transportation planning can be achieved through the implementation of good governance principles. By doing so, Nairobi's local government can tackle the unexpected division of public transportation agreements among different institutions and guide the various sectors in executing their transportation plans while still adhering to the established policy objectives.