DyMoN Data Hub, Tools and Data Processing Model

This project deliverable describes the DyMoN Data Hub with its data processing model, software architecture and clients, and potential uses for situation-aware nudging. The content consists of the following parts: Nudge ontologies: ● Situation awareness and its role in nudging approaches; ● Rulesets translating the text representation of situation in nudges into data thresholds and conditional statements. Data processing model: ● Data processing model of the Data Hub defining the steps necessary to acquire and prepare data from its raw state to final information stored in the Data Hub; ● Data assessment matrix that identifies data availability and suitability according to information demand for the nudging repository, dashboard, and simulation model; ● Data acquisition requirements; ● Syntactic interoperability of data that identifies how to join different datasets to generate information. Software architecture: ● Technical specifications of the Data Hub with its data and nudge repositories, and its API that provides calculated data layers and nudges to the DyMoN API; ● Technical specification of the DyMoN API that provides data layers and nudges to external end-clients, such as the citizens’ app and dashboard. End-clients: ● Functional requirements of the citizens’ app in order to adopt DyMoN framework’s services; ● Design of the dashboard for city managers and citizens to monitor mobility-related data and assist in decision-making