Research Data Leeds Repository

Citation

Nawaz, Rizwan and Rees, Philip and Clark, Stephen and Mitchell, Gordon and McDonald, Adrian and Kalamandeen, Michelle and Lambert, Chris and Henderson, Ross (2019) Data associated with 'Projections of Domestic Water Demand over the Long-Term: A Case Study of London and the Thames Valley'. University of Leeds. [Dataset] https://doi.org/10.5518/376

Dataset description

The dataset consists of files used in carrying out analysis reported in the Journal of Water Resources Planning and Management paper published online in September 2019. Please note that these files do not contain Domestic Water User Survey data for which Thames Water Utilities Ltd. retains Intellectual Property Rights. Users should contact co-author Ross Henderson at TWUL for permission to access the SPSS saved system file containing the processed DWUS data. The “Water Demand Projections Final” provides summary data on projected numbers of households by type and Water Resource Zone. The underpinning population projections data are available via http://www.ethpop.org or the UK Data Archive via https://doi.org/10.5255/UKDA-SN-852508 SN (Study Number): 852508 Title: NEWETHPOP - Ethnic population projections for UK local areas 2011-2061. The methods for transforming projected populations into projected households are described in Rees, P., Clark, S. and Nawaz, R. (2019) Household Forecasts for the Planning of Long-Term Domestic Water Demand: Application to London and the Thames Valley. Population, Space and Place., in press.

Subjects:	L000 - Social studies > L700 - Human & social geography F000 - Physical sciences > F800 - Physical geographical sciences > F810 - Environmental geography
Divisions:	Faculty of Environment > School of Geography
Related resources:	Location Type https://doi.org/10.5255/UKDA-SN-852508 Dataset https://doi.org/10.1061/(ASCE)WR.1943-5452.0001088 Publication https://eprints.whiterose.ac.uk/141075/ Publication
Date deposited:	07 Dec 2018 12:21
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/466
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Nawaz, Rizwan https://orcid.org/0000-0001-5601-2164 University of Sheffield https://ror.org/05krs5044 ror Rees, Philip https://orcid.org/0000-0002-4276-9091 University of Leeds https://ror.org/024mrxd33 ror Clark, Stephen https://orcid.org/0000-0003-4090-6002 University of Leeds https://ror.org/024mrxd33 ror Mitchell, Gordon https://orcid.org/0000-0003-0093-4519 University of Leeds https://ror.org/024mrxd33 ror McDonald, Adrian University of Leeds https://ror.org/024mrxd33 ror Kalamandeen, Michelle https://orcid.org/0000-0001-5385-7444 University of Leeds https://ror.org/024mrxd33 ror Lambert, Chris Thames Water https://ror.org/001641630 ror Henderson, Ross Thames Water https://ror.org/001641630 ror Type of data: Dataset Research funders: Thames Water Utilities Limited (TWUL), Engineering and Physical Sciences Research Council (EPSRC), Economic and Social Research Council (ESRC) Grant numbers: Collaborative Research Agreement with the University of Leeds for the project Long-Term Population and Property Forecasts for Thames Water, 1 June 2016 to 30 September 2017, EP/I029346/1, ES/L013878/1 Publication date: 2019 Resource language: English Metadata language: English Research project title: Long-Term Population and Property Forecasts for Thames Water Publisher: University of Leeds Contact email: p.h.rees@leeds.ac.uk Last Modified: 10 Oct 2024 08:35

Files

Documentation

Readme [813B] Readme [813B] Readme [813B] Security: Anyone File name: readme.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 813B

Supplemental Information [777kB] Supplemental Information [777kB] Supplemental Information [777kB] Security: Anyone File name: Supplemental_Information-R2.pdf Content type: Documentation Description: Tables and Figures from the paper Mime-Type: application/pdf License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 777kB

Data

TW_InputData [3MB] TW_InputData [3MB] TW_InputData [3MB] Security: Anyone File name: TW_InputData.sav Content type: Data Description: SPSS Statistics Data. Used in modelling water demand using data from TWUL’s Domestic Water User Survey (DWUS). File size: 3MB

TW_Model [10kB] TW_Model [10kB] TW_Model [10kB] Security: Anyone File name: TW_Model.sps Content type: Data Description: SPSS Statistics Syntax. Used in modelling water demand using data from TWUL’s Domestic Water User Survey (DWUS). License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 10kB

TW_Output [153kB] TW_Output [153kB] TW_Output [153kB] Security: Anyone File name: TW_Output.spv Content type: Data Description: SPSS Statistics Output. Used in modelling water demand using data from TWUL’s Domestic Water User Survey (DWUS). License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 153kB

Water Demand Projections Final [16MB] Water Demand Projections Final [16MB] Water Demand Projections Final [16MB] Security: Anyone File name: Water_Demand_Projections_Final-R2.xlsx Content type: Data Description: Excel. Used in forecasting household Water Demand from 2011 to 2101. Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 16MB

Metadata

Metadata [548kB] Metadata [548kB] Metadata [548kB] Security: Anyone File name: Metadata-R2.pdf Content type: Metadata Description: Description of the data and code used to model per household consumption and forecasts of domestic water demand Mime-Type: application/pdf License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 548kB