Metadata record for the article: Analysing the life cycle greenhouse (GHG) emissions of cities: decoupling density from tallness

Summary

This
metadata record provides details of the data supporting the claims of the
related article: “Decoupling density from tallness in analysing the life cycle greenhouse gas emissions of cities”.

The
related study proposes a method that decouples density and tallness of
buildings in urban environments and allows each to be analysed individually when
estimating life cycle greenhouse gas (GHG) emissions.

Type of data:
quantitative analysis of life cycle greenhouse gas (GHG) emissions

Sample size:
5000 synthetically generated urban environments (5 different cases with 1000
urban environments per case)

Sampling
strategy: The urban environments are generated through stochastic modelling,
which relies on input data collected from real buildings, cities and neighbourhoods.

Data
access

All code and
supporting data can be accessed via GitHub
at https://github.com/jayarehart/Denser-Taller.
Static versions of the two data files included in the GitHub repository have also been included with this figshare data record (downloaded from GitHub on 24/05/2021). These files are ‘fixed_area.xlsx’
and ‘fixed_pop.xlsx’.

Additional
supplementary data and notes are available in the files ‘supplementary_methods.xlsx’
(Excel spreadsheet with multiple tabs) and ‘supplementary_notes.pdf’, which are
publicly available in the Mendeley Data repository
at https://doi.org/10.17632/kj3zn5nx6b.1,
as well as together with this figshare data
record.

Corresponding author(s) for this study

Francesco
Pomponi, Resource Efficient Built Environment Lab (REBEL), Edinburgh Napier
University. [e-mail].