The dynamic urban network management in urban areas is in high demand, since speed information is currently available via Information and Communication Technology (ICT) Infrastructure. However, such information has not been incorporated into routing decision making systems efficiently. Although several efforts exit, these are not correlated and integrated. Since the integration problem has spatial and temporal dimensions, Spatial Information Science could aid to solve this problem via mature methods, approaches and tools. The main aim of this study is to demonstrate the opportunities of spatio-temporal analyses within dynamic urban road network management, where the concepts are supported with a case study from Istanbul Metropolitan Area. In the proposed methodology, the speed information retrieved from detectors were associated with the OpenStreetMap and quickest paths were simulated within determined time intervals. Different shortest routes are proposed to users in various time spans via incorporated speed information and network analyses. For the same origin and destination, 2.5 minutes difference is observed within the study area. The results were promising, where the added value of this study is presenting an approach for integrating various spatial-temporal data to aid dynamic urban road network management. (C) 2017 The Authors. Published by Elsevier B.V.