Carbon mapping of an e-commerce purchase

Project Description

There is increased interest in the e-commerce parcel industry to reduce carbon-based energy consumption as well as the greenhouse gas emissions associated with the purchase. However, there has been a general lack of holistic frameworks that integrate different supply chain models for low carbon supply chain decision making.
In this project, primary data will be collected through interviews with the iParcelBox management team, their extended supply chain partners (including logistics providers) and public data sources (including ONS data). Based on collected data we will create a model to calculate and compare the expected CO2 emissions per parcel delivery for an at-home delivery and 3 out of home scenarios of varying average travel distance from the home. The research will consider relative impact of the model on urban, suburban and rural locations.

The main objectives of the project are:
� To calculate the average expected carbon emissions associated with an at-home parcel delivery by a logistics provider
� To calculate the carbon emissions associated with logistics provider delivering parcels to a central locker or pick-up point
� To calculate the carbon emissions associated with customers collecting parcels from a central locker or pick-up point.
� To suggest the most appropriate parcel delivery option for customers to minimize carbon emissions.