  Technological advancements are rapidly changing traffic management in cities.
Massive adoption of mobile devices and cloud-based applications have created
new mechanisms for urban traffic control and management. Specifically,
navigation applications have impacted cities in multiple ways by rerouting
traffic on their streets. As different routing strategies distribute traffic
differently across the city network, understanding these differences across
multiple dimensions is highly relevant for policymakers. In this paper, we
develop a holistic framework of indicators, called Socially-Aware Evaluation
Framework for Transportation (SAEF), that will assist in understanding how
traffic routing and the resultant traffic dynamics impact city metrics, with
the intent of avoiding unintended consequences and adhering to city objectives.
SAEF is a holistic decision framework formed as an assembled set of city
performance indicators grounded in the literature. The selected indicators can
be evaluated for cities of various sizes and at the urban scale. The SAEF
framework is presented for four Bay Area cities, for which we compare three
different routing strategies. Our intent with this work is to provide an
evaluation framework that enables reflection on the consequence of policies,
traffic management strategies and network changes. With an ability to model out
proposed traffic management strategies, the policymaker can consider the
trade-offs and potential unintended consequences.
