This issue looks at first stage change and additions to data subcategories as identified by international CCRP demonstration platform development. As soon as the CCRP core code repository is up will make 12 issues one for each main subcategory.
We can also create a link to a publicly visible but password protected excel sheet on which we can jointly work to update categories and colour-code by geographic relevance as below:
The purpose of the GitHub data category issues is
a) record changes required changes to subcategories in country demos
b) record reasons for this
c) begin to group 'categories by i) global relevance, ii) global region relevance, iii) national/country relevance, iv) regional relevance, vi) local relevance
d) Begin to co-work on global relevance category to ensure datasets with data categories are compatible for analysis and ready to begin exploring collaborations with research colleagues across countries (in and outside of the CCRP) interested experimenting with AI and machine learning techniques to gain insights into building stocks.
e) Identify specific datasets to begin work on, of direct relevance to the energy agenda, e.g. age to attempt to generate comprehensive datasets for at least one city per country. (methods to accelerate age data capture tested in UK to follow)
f) Begin work on recording process for summary in a joint CCRP open paper.
Initial notes to be included below. Please use ref as followsor just change ref to suit you- we just need them to be short unique as other countries come onboard):
Colouring Australia (C. Austra)
Colouring Bahrain (C. Bah)
Colouring Britain/London (C. Brit)/also for moment (ATI)
Colouring Colombia (C. Col)
Colouring Indonesia (C. Indo)
Colouring Germany (C. Ger)
Colouring Greece (C. Gre)
Colouring Lebanon (C. Leb)
Colouring Sweden (C. Swe)
1. LOCATIONC. Ind : Add Sub-Category: · OSM ID
ATI: Included as subcat in prototype interface is code not available?
2. LANDUSEC. Indo *:Current Use Change the colour on the Current Use Category. For the “Residential Unverified” should be coloured dark blue. For now, the Current Use Category still can’t be edited Add Sub-Category: · Land and property tax · Land value · Field number (Nomor Induk Bidang/NIB) · Field size based on the land certificate Edit the note section to: Most properties in Indonesia are dwellings so we have set this as the default colour. Can you help us colour-in all non-residential and mixed-use buildings, and verify residential buildings too?
ATI: Could you clarify improvements you need/you would like here?
3. TYPEC. Indo: :Participants in the mapathon were confused when asked to fill in, also the classification of detached, semi detached, end terrace and mid terrace is non existent in Indonesia. We propose to divide the info into:
• Single-family home
• Duplex
• Apartment building
• Office building
• Commercial building
• Other
ATI**: For Indonesia in terms of adjacency rating (Typology) would the classes ' Detached', 'semi-detached', 'in a row' make more sense ? The purpose of this section is to capture data on the form of city block, and on number of walls likely to be exposed (e.g.for energy calculations). We could then have a separate category with generic building typology categories as you describe (these are also expanded on under ' land use and we will need to have some duplication there) - it would be good to find an international classification system we can agree on for analysis purposes
CI: Delete Local typology mutations - 3D procedural model classifications - Dynamic tissue type classification
ATI: Agree these need to be explained properly better not to include for moment- I will create issue and add background links - these are designed to capture data to support dynamics analysis and 3D rule-based models.
4, AGEC. Indo: : Remove sub-category 'Facade year':
ATI**: We could add an automatic prepopulation feature for this ( and note there is an assumption age is the same) and then people could adjust where relevant. The reason we collect this is to enable us to create visuals and simulations that allow us to track coring out of buildings particularly in historic city centres. For example you took the West End central London shopping streets you would see old facades but in fact very high spec recently built buildings behind them.In these areas there is high churn/high material and waste flows that really go undetected and are hard to visualise. Also In order to use age data to infer typology with as much accuracy as possible -which in turn can be used to infer energy consumption etc really important to know if actually the building your are looking at is really a 2021 construction but looks ( and could be wrongly dated as say 1970). Any thoughts? This may not occur so commonly in Indonesia but' facadism' common in UK interesting to know. We are also interested in collecting the data in terms of recladding of buildings and may add a recladding date owing to the identfyication after the Grenfell Tower fire in London that hundreds of 1960s/70s blocks particularly in UK cities were unsafe and had been reclad with flammable materials.
5. SIZEC. Indo: Remove sub-category: - Attic Storeys - Height - Height to Apex (m) - Height to Eaves (m) Add sub-category: - Total Area of Plot (m2) - FAR ratio (percentage of plot covered by building) - Plot dimensions
ATI: Could you clarify on this one which aren't relevant and why- interesting for us?
6. CONSTRUCTIONATI**: We need to add the Global Earthquake model categories here in discussion with CCRP members. Any queries here?
7. STREET CONTEXTC. Indo: We really liked the Colouring Athens categories section and think this will result in very useful analysis.
• Is there a pavement? Yes/No
• Pavement width (average)
• Street width (average)
• Is there any bicycle lane? Yes/No
• Is there a covered walkaway parallel to the street? Yes/No
• Is there a passageway that crosses the building? Yes/No
Also add Australia Walk index : - >95 - 90-95 - 85-90 - 80-85 - 75-80 - 70-75 - 65-70 - 60-65 - 55-60 - 50-55 - 45-50 NO CATEGORIES ISSUES - 40-45 - 35-40 - 30-35 - <30
ATI: We will add all these to core code as soon as possible adding ' in front of the building' . Btw Nicolas Palminos produced an algorithm for pavement width calculation. To also say Flora Roumpani used pavement width, street width, storeys and age in her rule based 3D model work experimenting with our age data https://www.tandfonline.com/doi/abs/10.1080/17567505.2018.1517142 for use in planning simulations - so we have been keen to capture these for UK too. Can you clarify on' no category' issues?
8. TEAM:
C. Indo: Edit the colour of the buildings at the “Team” Category. Coloured it with light beige for the <20% data collected.
ATI: Any requests/comments?
9. PLANNING:
C. Indo: We have our own planning system in Indonesia, so we proposed to add:
• RDTR (city-wide zonation plan)
• RTBL (city-wide building plan)
• Building Heritage
ATI: What if we have a generic prefix e.g. Protected buildings and then the country appropriate title e.g. (Listed buildings for UK ), we could then add Protected buildings/areas (Conservation areas); city wide zones; city wide building plans etc. Could you add the complete list of types of data you'd like here?
10. SUSTAINABILITY:
C. Indo: The available rating system is different in Indonesia. We proposed:
• Rating System
• Certification Type
• GBCI Certificate (Platinum, Gold, Silver, Bronze)
• Building energy class
• Is there a photovoltaic panel installation? Yes/No
• General condition of the building?
• Is there a visible risk of collapse? Yes/No
• Energy saving (%)
• Water saving (%)
ATI: V helpful, and for others to begin to add to the list and confirm if all also of relevance. can you explain energy and water% more?
This issue looks at first stage change and additions to data subcategories as identified by international CCRP demonstration platform development. As soon as the CCRP core code repository is up will make 12 issues one for each main subcategory.
We can also create a link to a publicly visible but password protected excel sheet on which we can jointly work to update categories and colour-code by geographic relevance as below:
The purpose of the GitHub data category issues is
Initial notes to be included below. Please use ref as followsor just change ref to suit you- we just need them to be short unique as other countries come onboard):
Colouring Australia (C. Austra) Colouring Bahrain (C. Bah) Colouring Britain/London (C. Brit)/also for moment (ATI) Colouring Colombia (C. Col) Colouring Indonesia (C. Indo) Colouring Germany (C. Ger) Colouring Greece (C. Gre) Colouring Lebanon (C. Leb) Colouring Sweden (C. Swe)
1. LOCATION C. Ind : Add Sub-Category: · OSM ID ATI: Included as subcat in prototype interface is code not available?
2. LANDUSE C. Indo *:Current Use Change the colour on the Current Use Category. For the “Residential Unverified” should be coloured dark blue. For now, the Current Use Category still can’t be edited Add Sub-Category: · Land and property tax · Land value · Field number (Nomor Induk Bidang/NIB) · Field size based on the land certificate Edit the note section to: Most properties in Indonesia are dwellings so we have set this as the default colour. Can you help us colour-in all non-residential and mixed-use buildings, and verify residential buildings too? ATI: Could you clarify improvements you need/you would like here?
3. TYPE C. Indo: :Participants in the mapathon were confused when asked to fill in, also the classification of detached, semi detached, end terrace and mid terrace is non existent in Indonesia. We propose to divide the info into: • Single-family home • Duplex • Apartment building • Office building • Commercial building • Other ATI**: For Indonesia in terms of adjacency rating (Typology) would the classes ' Detached', 'semi-detached', 'in a row' make more sense ? The purpose of this section is to capture data on the form of city block, and on number of walls likely to be exposed (e.g.for energy calculations). We could then have a separate category with generic building typology categories as you describe (these are also expanded on under ' land use and we will need to have some duplication there) - it would be good to find an international classification system we can agree on for analysis purposes
CI: Delete Local typology mutations - 3D procedural model classifications - Dynamic tissue type classification ATI: Agree these need to be explained properly better not to include for moment- I will create issue and add background links - these are designed to capture data to support dynamics analysis and 3D rule-based models.
4, AGE C. Indo: : Remove sub-category 'Facade year': ATI**: We could add an automatic prepopulation feature for this ( and note there is an assumption age is the same) and then people could adjust where relevant. The reason we collect this is to enable us to create visuals and simulations that allow us to track coring out of buildings particularly in historic city centres. For example you took the West End central London shopping streets you would see old facades but in fact very high spec recently built buildings behind them.In these areas there is high churn/high material and waste flows that really go undetected and are hard to visualise. Also In order to use age data to infer typology with as much accuracy as possible -which in turn can be used to infer energy consumption etc really important to know if actually the building your are looking at is really a 2021 construction but looks ( and could be wrongly dated as say 1970). Any thoughts? This may not occur so commonly in Indonesia but' facadism' common in UK interesting to know. We are also interested in collecting the data in terms of recladding of buildings and may add a recladding date owing to the identfyication after the Grenfell Tower fire in London that hundreds of 1960s/70s blocks particularly in UK cities were unsafe and had been reclad with flammable materials.
5. SIZE C. Indo: Remove sub-category: - Attic Storeys - Height - Height to Apex (m) - Height to Eaves (m) Add sub-category: - Total Area of Plot (m2) - FAR ratio (percentage of plot covered by building) - Plot dimensions ATI: Could you clarify on this one which aren't relevant and why- interesting for us?
6. CONSTRUCTION ATI**: We need to add the Global Earthquake model categories here in discussion with CCRP members. Any queries here?
7. STREET CONTEXT C. Indo: We really liked the Colouring Athens categories section and think this will result in very useful analysis. • Is there a pavement? Yes/No • Pavement width (average) • Street width (average) • Is there any bicycle lane? Yes/No • Is there a covered walkaway parallel to the street? Yes/No • Is there a passageway that crosses the building? Yes/No Also add Australia Walk index : - >95 - 90-95 - 85-90 - 80-85 - 75-80 - 70-75 - 65-70 - 60-65 - 55-60 - 50-55 - 45-50 NO CATEGORIES ISSUES - 40-45 - 35-40 - 30-35 - <30 ATI: We will add all these to core code as soon as possible adding ' in front of the building' . Btw Nicolas Palminos produced an algorithm for pavement width calculation. To also say Flora Roumpani used pavement width, street width, storeys and age in her rule based 3D model work experimenting with our age data https://www.tandfonline.com/doi/abs/10.1080/17567505.2018.1517142 for use in planning simulations - so we have been keen to capture these for UK too. Can you clarify on' no category' issues?
8. TEAM: C. Indo: Edit the colour of the buildings at the “Team” Category. Coloured it with light beige for the <20% data collected. ATI: Any requests/comments?
9. PLANNING: C. Indo: We have our own planning system in Indonesia, so we proposed to add: • RDTR (city-wide zonation plan) • RTBL (city-wide building plan) • Building Heritage ATI: What if we have a generic prefix e.g. Protected buildings and then the country appropriate title e.g. (Listed buildings for UK ), we could then add Protected buildings/areas (Conservation areas); city wide zones; city wide building plans etc. Could you add the complete list of types of data you'd like here?
10. SUSTAINABILITY: C. Indo: The available rating system is different in Indonesia. We proposed: • Rating System • Certification Type • GBCI Certificate (Platinum, Gold, Silver, Bronze) • Building energy class • Is there a photovoltaic panel installation? Yes/No • General condition of the building? • Is there a visible risk of collapse? Yes/No • Energy saving (%) • Water saving (%) ATI: V helpful, and for others to begin to add to the list and confirm if all also of relevance. can you explain energy and water% more?
11. DYNAMICS: ATI**: Any thoughts/issues here?
12. COMMUNITY: ATI**: Any thoughts/issues here?