The main goal of this thesis is to propose a method to measure the level of complaints about road infrastructure in a region of a city using geospatioal and temporal data (Waze). Also, suggest a experiment to test whether a social bond contract [SIB] decreases the level of complaints in a region of a city. This unfolds on several subgoals to ensure the reliability and scalability of the method. The subgoals are:
1. Study bias present in the Waze data for the proposed methodology, highlighting its limitations.
2. Propose a consistent way to divide the city in regions.
3. Propose a consistent way to aggregate complaints geographically.
4. Propose a method to measure the variation of complaints, that has to be controlled by global user variation on the full city and nearby regions.
5. Propose a experiment to implement the social bond contract in a city (or several) that can be falsified.
Underlying the mathematical methods, the procedural goal is to develop an modular solution that provides errors for each part.