Purpose: This paper studies the influence of information and communication technologies on human reasoning and decision making. It investigates the potential impact of ambient intelligence on change in pedestrian mobility behavior, using a large city-scale scenario. Methods: This work establishes an interplay between social and technological aspects of awareness by augmenting a model-driven framework of a realistic information eco-system. A distributed multi-agent system is developed to model a real-life urban mobility environment. The model is then simulated using a large scale parallel computing platform. Results: Evaluation results revealed that the quality of information in ambient-assisted environments increases when compared with those without ambient intelligence. Conclusion: We conclude that there is a positive correlation between the extent of information being shared in a socially-inspired information eco-systems and the level of collective awareness in an urban mobility scenario.