- Government review of waste policy in England 2011
- The Mayor's municipal waste management strategy
- Cutting waste not services
Policy area: Environment
Date of publication: 20 March 2008
File type: Opens in a new window PDF, 666kb
The Waste Modelling for London Project was an initiative developed by officers from the Greater London Authority and London Councils who were keen to develop a greater strategic understanding of the waste management requirements in London and encourage local authorities to become more strategic in the development of their waste services.
The project was delivered by Mouchel Parkman and Cranfield University's School of Integrate Waste Management.
Please note that some of these files are very large and may take up to a minute to download.
The Waste Modelling for London Project - Summary Report (681kb pdf) Opens in a new window
This overarching report ties together the Waste Modelling for London project and sets out some key results of the modelling work undertaken by Mouchel Parkman and Cranfield University.
The Waste Modelling for London Project - Phase I Report: Challenges, Choices and Decisions (2.1mb pdf) Opens in a new window
Findings from phase I of the project are presented and discussed in this report. This report sets out some key results of the modelling work undertaken by Mouchel Parkman. It provides an aggregated London wide profile of the main waste scenario options tested at the waste authority level.
The Waste Modelling for London Project - Phase II Report (1.33mb pdf) Opens in a new window
Findings from the secondary phase of the project are presented and discussed in this report. The report considers a number of technologies options, likely combinations of these technologies and their performance within the existing policy framework for treating London's Municipal Solid Waste (MSW).
Assessment of Purgamentum Assumptions Report (738kb pdf) Opens in a new window
The report sets out the review of the assumptions used in the Purgamentum model. A review and independent assessment of the model assumptions are important from user's point of view because it informs the user about the applicability of results from the model.