References
- 1Airbnb. (2020). Superset. Retrieved from
https://airbnb.io/projects/superset/ - 2BEIS. (2013). National Energy Efficiency Data-Framework (NEED). London: Department for Business, Energy and Industrial Strategy (BEIS). Retrieved from
https://www.gov.uk/government/collections/national-energy-efficiency-data-need-framework - 3BEIS. (2016). Building Energy Efficiency Survey (BEES). London: Department for Business, Energy and Industrial Strategy (BEIS). Retrieved from
https://www.gov.uk/government/publications/building-energy-efficiency-survey-bees - 4Brown, F. E., Rickaby, P. A., Bruhns, H. R., & Steadman, P. (2000). Surveys of nondomestic buildings in four English towns. Environment and Planning B: Planning and Design, 27, 11–24. DOI: 10.1068/b2571
- 5Bruhns, H., Steadman, P., & Marjanovic, L. (2006). A preliminary model of non-domestic energy use for England and Wales. Paper presented at the COBRA 2006 conference, Royal Institution of Chartered Surveyors (RICS), London,
September 2006 . - 6CIBSE. (2008). Technical Memorandum 46. Chartered Institution of Building Services Engineers (CIBSE). Retrieved from
https://www.cibse.org/Knowledge/knowledge-items/detail?id=a0q20000008I7evAAC - 7Colouring London. (2020). Retrieved from
https://colouringlondon.org - 8Energy Information Administration. (2020). Commercial Buildings Energy Consumption Survey (CBECS). Retrieved from
https://www.eia.gov/consumption/commercial/ - 9Environment Agency. (2017). LIDAR DSM Data Sources [time stamp tiles and data selection tool]. Retrieved from
https://data.gov.uk/dataset/lidar-dsm-time-stamped-tiles ;http://environment.data.gov.uk/ds/survey/#/survey - 10Evans, S., Liddiard, R., & Steadman, P. (2014). A 3D geometrical model of the non-domestic building stock of England and Wales. Paper presented at the BSO 2014 Building Simulation and Optimisation conference, London,
June 2014 . - 11Evans, S., Liddiard, R., & Steadman, P. (2016). 3DStock: A new kind of three-dimensional model of the building stock of England and Wales, for use in energy analysis. Environment and Planning B: Urban Analytics and City Science, 44, 227–255. DOI: 10.1177/0265813516652898
- 12Evans, S., Liddiard, R., & Steadman, P. (2017). Modelling a whole building stock: Domestic, non-domestic and mixed use. Building Research & Information, 47, 156–172. DOI: 10.1080/09613218.2017.1410424
- 13Evans, S., Steadman, P., Godoy-Shimizu, D., & Liddiard, R. (2018). Building stock modelling and the relationship between density and energy use. Paper presented at BSO 2018 Building Simulation and Optimisation, Cambridge, UK,
September 2018 . - 14Fennell, P., Ruyssevelt, P., Rawal, R., & Poola, V. (2019). Determining the most appropriate form of urban building energy simulation model for the city of Ahmedabad. Paper presented at the International Building Performance Simulation Association, 16th IBPSA Conference and Exhibition ‘Building Simulation 2019’, Rome, Italy,
September 2019 . - 15Geomni. (2020). Retrieved from
https://www.geomni.co.uk - 16Godoy-Shimizu, D., Evans, S., Steadman, P., Humphrey, D., Ruyssevelt, P., & Liddiard, R. (2020). Examining the opportunities for improving residential buildings in London using EPCs and a fully disaggregated stock model. Paper presented at the CIBSE ASHRAE Technical Symposium, Glasgow, UK,
September 2020 . - 17Godoy-Shimizu, D., Steadman, P., Hamilton, I., Donn, M., Evans, S., Moreno, G., & Shayesteh, H. (2018). Energy use and height in office buildings. Building Research & Information, 46, 845–863. DOI: 10.1080/09613218.2018.1479927
- 18Hamilton, I. G., Steadman, P., Bruhns, H., Summerfield, A. J., & Lowe, R. J. (2013). Energy efficiency in the British housing stock: Energy demand and the Homes Energy Efficiency Database. Energy Policy, 60, 462–480. DOI: 10.1016/j.enpol.2013.04.004
- 19Hamilton, I. G., Summerfield, A. J., Lowe, R., Ruyssevelt, P., Elwell, C. A., & Oreszczyn, T. (2013). Energy epidemiology: A new approach to end-use energy demand research. Building Research & Information, 41, 482–497. DOI: 10.1080/09613218.2013.798142
- 20HMLR. (2017). Land Registry INSPIRE download service metadata. Her Majesty’s Land Registry (HMLR). Retrieved from
https//data.gov.uk/dataset/land-registry-inspire-download-service-metadata - 21Holtier, S., Steadman, P., & Smith, M. G. (2000). Three-dimensional representation of urban built form in a GIS. Environment and Planning B: Planning and Design, 27, 51–72. DOI: 10.1068/bst5
- 22Hong, S., & Steadman, P. (2013). An analysis of display energy certificates for public buildings, 2008 to 2012 (Report for Chartered Institution of Building Services Engineers—CIBSE). Retrieved from
https://www.ucl.ac.uk/bartlett/energy/news/2014/feb/analysis-display-energy-certificates-public-buildings-2008-2012 - 23Hudson-Smith, A., Evans, S., & Batty, M. (2007). Constructing and using virtual cities: The Virtual London project. International Journal of Geomatics, 7, 23–28.
- 24Hughes, M., Palmer, J., & Pope, P. (2013). A Guide to the Cambridge Housing Model (Technical Report for Department of Energy and Climate Change (DECC), November).
- 25Jones, P., Williams, J., & Lannon, S. (2000). Planning for a sustainable city. An energy and environmental prediction model. Journal of Environmental Planning and Management, 43, 855–872. DOI: 10.1080/09640560020001728
- 26MHCLG. (2012). The English Housing Survey. Ministry of Housing, Communities and Local Government (MHCLG). Retrieved from
https://www.gov.uk/government/collections/english-housing-survey - 27MHCLG. (2020). Energy performance of buildings data: England and Wales. Ministry of Housing, Communities and Local Government (MHCLG). Retrieved from
https://epc.opendatacommunities.org - 28Mortimer, N. D., Ashley, A., & Rix, J. H. R. (2000). Detailed energy surveys of nondomestic buildings. Environment and Planning B: Planning and Design, 27, 25–32. DOI: 10.1068/b2572
- 29Neffendorf, H., Bruhns, H., & Harrison, A. (2009).
Non-Domestic Energy Efficiency Data Framework (NEED): Scoping Study Findings (Report) . London: Department of Energy and Climate Change (DECC). - 30Open Geospatial Consortium. (2018). A guide to the role of standards in geospatial information management. Retrieved from
http://ggim.un.org/meetings/GGIM-committee/8th-Session/documents/Standards_Guide_2018.pdf - 31OS. (2020a). AddressBase. Ordnance Survey. Retrieved from
https://www.ordnancesurvey.co.uk/business-government/products/addressbase - 32OS. (2020b). MasterMap topography layer. Ordnance Survey. Retrieved from
https://www.ordnancesurvey.co.uk/business-government/products/mastermap-topography - 33Penman, J. M. (2000). A database and model of energy use in the nondomestic building stock of England and Wales. Environment and Planning B: Planning and Design, 27, 1–2. DOI: 10.1068/bst1
- 34Pout, C. H. (2000). N-DEEM: The national nondomestic buildings energy and emissions model. Environment and Planning B: Planning and Design, 27, 721–732. DOI: 10.1068/bst12
- 35Ruyssevelt, P. A. (2019). Modelling London’s building stock and its associated energy use. Paper presented at the 2019 ASHRAE Winter Conference, Atlanta, GA, US,
January 2019 . Retrieved fromhttp://web.eecs.utk.edu/~new/presentations/2019_ASHRAE_MBEM9_UK.pdf - 36Shorrock, L. D., & Dunster, J. (1997). The physically-based BREHOMES and its use in deriving scenarios for the energy use and carbon dioxide emissions of the UK housing stock. Energy Policy, 25, 1027–1037. DOI: 10.1016/S0301-4215(97)00130-4
- 37Shorrock, L. D., Henderson, J., & Utley, J. (2005). Reducing carbon emissions from the UK housing stock. Watford: Building Research Establishment Press.
- 38Sousa, G., Jones, B. M., Mirzaei, P. A., & Robinson, D. (2017). A review and critique of UK housing stock energy models, modelling approaches and data sources. Energy and Buildings, 151, 66–80. DOI: 10.1016/j.enbuild.2017.06.043
- 39Steadman, P., Hamilton, I., & Evans, S. (2014). Energy and urban built form: An empirical and statistical approach. Building Research & Information, 42, 17–31. DOI: 10.1080/09613218.2013.808140
- 40Taylor, S., Fan, D., & Rylatt, M. (2014). Enabling urban-scale energy modelling: A new spatial approach. Building Research & Information, 42, 4–16. DOI: 10.1080/09613218.2013.813169
- 41Tian, W., Rysanek, A., Choudhary, R., & Heo, Y. (2015). High resolution energy simulations at city scale. Proceedings of the 14th Conference of International Building Performance Simulation Association, Hyderabad, India,
December 2015 . - 42UCL Energy Institute. (2020). LUSTER project description. Retrieved from
https://www.ucl.ac.uk/bartlett/energy/research-projects/2020/mar/london-urban-sub-terrain-energy-recovery-luster - 43VOA. (2020). Valuation Office Agency. Retrieved from
https://www.gov.uk/government/organisations/valuation-office-agency
