Decoding the Landscape of Smart City Platforms: A Taxonomy Approach

The notion of Smart Cities (SC) has gained significant attention in re-cent years as cities are becoming more connected, integrated and technologically advanced. Smart City Platforms (SCPs) have emerged as an important element of this movement, representing the backbone for collecting, processing, and an-alyzing urban data streams from peripheral devices and systems in a city. This study seeks to identify the key dimensions and characteristics of SCPs. Based on a systematic literature, we crafted a taxonomy following Nickerson et al. (2013) guidelines. The taxonomy contributes to existing literature, offering a set of char-acterizations of SCPs which provides a framework to thoroughly analyze SCPs. Further, we gain extra insights about their differences and their distinct layers