Measuring the Mitigating Transportation Emissions in Downtown Detroit

Abstract

This project was designed to assist Detroit 2030 District to reduce greenhouse gas emissions associated with transportation by 50% by 2030. This project utilizes a variety of research methods to create meaningful deliverables for the client. These research methods include data collection, surveys, interviews, modeling, literature review and analysis. We obtained data from SEMCOG household travel survey, which tracks travel movements around southeast Michigan. We were able to obtain information about traffic patterns as well as individual traveler characteristics and household demographics. We identified the area of interest by comparing the boundary of the District to the boundaries of SEMCOG’s traffic analysis zones. After, we used EPA MOVES software to calculate emission factors and created a baseline estimate of the District’s transportation emissions. The ultimate goal of this project is to develop a strategy to engage building owners, managers, and tenants, in the process of measuring and reducing GHG emissions generated by the occupants of their buildings associated with transportation. An emission reduction model utilize to evaluate the possibility of hitting the organizations target reduction and to better understand the barriers to hitting that goal. According to the two scenarios, and adjusting the VMT based on Mode, Distance, and Purpose, we propose reduction strategies. Several recommendations are offered including Commuter Incentives, Cycling Program, Pedestrian Development, etc. From another aspect, Detroit is one city where green infrastructure has emerged as a planning priority. Green Infrastructure will have a positive impact on GHG reduction.