Quantifying Demand Dynamics for Supporting Optimal Taxi Services Strategies

In recent years, mobility patterns have reasonably attracted scientific interest, especially concerning Mega-Cities. The technological advances, especially concerning sensors, facilitates the collection and access on a massive amount of empirical data capturing in high-resolution urban mobility. The introduction and spread of location tracking devices and services provide the means for collecting reliable real-time data, particularly valuable for industrial as well as for personal applications. In this study, a complex and realistic dataset is monitored and analysed, that provide the real-time occupancy status and Global Positioning System (GPS) location for three taxi fleets during of New Year's Day. The scope of this paper is a preliminary identification of alternative Taxi-Services Strategies by means of dynamic clustering as well as 'heatmap' analysis. (C) 2017 The Authors. Published by Elsevier B.V.