Environment

Construction Waste Recycled

Goal: Divert 75% or more of building construction waste from landfills for City of Edmonton facilities targeting LEED Silver Certification.Explore the data
% of Construction Waste
Final
75% of Construction Waste
Dec 2017 Target
Goal Period ended December 2017

        Measure Description

        Construction Waste Recycled is calculated by dividing the tonnes of construction waste that is taken to recycling or re-use facilities by the total tonnes of construction waste produced during the construction of the project. The target is 75% and is only measured for buildings that are striving for LEED certification. To be updated yearly as data becomes available.

        Historical Data

        This dataset is private.

        Did You Know?

        A comprehensive State of Environment report has been prepared to highlight the condition of Edmonton’s environment and measuring the various factors that are contributing to that condition, including progress on the City’s environmental initiatives. The report supports the implementation of The Way We Green by helping Citizens, City Council and City Administration make informed decisions. The Way We Green is the City of Edmonton’s environmental strategic plan. It sets out principles, goals, objectives, policies and approaches for Edmonton to live in balance with nature.

        The intent is to update the online version of the report as data is available with a more formal printable version released every 18 months.

        Useful Links

        LEED Program: http://www.cagbc.org/

        Neighbourhood Maps: http://www.edmonton.ca/neighbourhoodmaps

        Online version - State of Environment Report: https://dashboard.edmonton.ca/reports/env-2014/Introduction

        Printable version - State of Environment Report: www.edmonton.ca/greenannualreport

      Data Governance

      describes the quality of the data itself. Governance issues generally indicate that the data source is considered incomplete or unreliable.

      Model Health

      describes the quality of the predictive model. If the model health is poor, the trend prediction should not be trusted.

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