Comprehensive Workflow for Documenting Corporate Commuting Emissions: A University Case Study with Two Alternative Approaches

Abstract

As concerns about climate change grow, organizations are increasingly focusing on documenting and reducing their environmental impact, including corporate commuting emissions. This paper presents a comprehensive workflow for documenting corporate commuting emissions within a university context, utilizing two alternative approaches. The study aims to propose effective strategies for emissions reduction through a case study conducted at the Mustamäe Campus of Tallinn University of Technology (TalTech). The objectives include developing a structured framework for data collection, analysis, and emissions calculation, and comparing the two approaches. The conventional approach relies on historical data and surveys, while the novel approach incorporates Telia Crowd Insight and Fyma camera data. The workflow encompasses data acquisition, processing/analysis, and emissions calculation. The results demonstrate significant differences in the calculated commuting emissions between the two approaches. The discussion highlights the transparency and validation challenges associated with the novel approach. The findings suggest the conventional approach for central locations with accessible survey statistics and the novel approach for locations outside the city center. The study contributes to sustainable transportation strategies and offers practical insights for organizations seeking to document and manage their commuting emissions.