Analyse und Visualisierung von Scope 1 Emissionen: Ein auf Telematikdaten basiertes Dashboard-Konzept am Beispiel von Rosenberger Telematics

Abstract

This master's thesis explores the challenges and opportunities in sustainability, specifically focusing on emission management using telematics systems in the construction industry. It aims to develop a dashboard that facilitates the visualization and analysis of emissions data to assist companies in effectively reducing their CO2e-emissions. This thesis is set against the background of rising global requirements for sustainability reporting and the introduction of the Corporate Sustainability Reporting Directive (CSRD) by the European Union. The dashboard is designed to use data from IoT sensors integrated into vehicles and construction machinery. This will make the emitted emissions visible and provide insights into the efficiency of vehicle usage. The thesis is structured into several chapters that build on one another progressively. Initially, it explains the theoretical foundations concerning sustainability, ESG criteria, and legal frameworks such as the CSRD. After, it examines the role of telematics and the use of IoT sensors for data collection and processing in emissions management. The primary focus is on developing a dashboard tailored to the needs and requirements of telematics systems to efficiently visualize and analyse emissions data. Methodologically, the thesis combines qualitative and quantitative research, including an empirical evaluation of the usability of the developed dashboard. The research aims to enable companies to precisely analyse and reduce their CO2e-emissions based on that and thereby retreating their ecological footprint. The developed emissions dashboard allows companies to analyse the CO2e-emissions of their vehicles and construction machinery and initiate measures to reduce their ecological footprint based on that. The detailed visualizations and analyses of the emissions data help companies make decisions regarding emission-reducing measures and quantify the improvements. The empirical evaluation confirms high usability and effective improvement of data transparency and understanding. The results emphasize the importance of integrating advanced telematics data and IoT technologies into sustainability management to enable precise monitoring and control of environmental impacts. The thesis in this manner makes a significant contribution to research in emissions management and provides practical solutions for companies facing challenges of sustainability reporting and emission reduction.

Date of Award	2024
Original language	German (Austria)
Supervisor	Matthias Neubauer (Supervisor)