Amie Gross, President of Amie Gross Architects, on the need for economies of scale in affordable housing construction
9:00:29
·
4 min
Amie Gross, President of Amie Gross Architects, supports the City of Yes initiative, emphasizing the importance of building larger affordable housing projects to reduce per-unit costs. She argues that increasing the scale of affordable housing developments can help offset rising construction costs and regulatory requirements.
- Gross highlights that constructing a 75-unit building is more cost-effective per unit than a 50-unit building.
- She notes that new Department of Buildings regulations coming in December will increase costs for buildings with 7 or more stories.
- Gross argues that allowing larger buildings on the same zoning lot can lead to lower rents through economies of scale.
- The cost to construct affordable housing has increased drastically
- Building larger buildings (more units) reduces the cost per unit
- New safety regulations increase construction costs
- Economy of scale is crucial for affordable housing development
- Non-profit developers need to build more units to make projects financially viable
- Increasing building size in the same zoning lot can lead to more affordable rents
[EXPERIMENTAL]
Which elements of City of Yes for Housing Opportunity were discussed in this testimony?
I was not able to tie quotes from the testimony back to specific elements of the proposal. Check out another testimony here.
About this analysis:
This analysis is done by AI that reasons whether or not a quote from the testimony discusses a particular element of the proposal.
All the prompts and data are open and available on Github.
You can search for testimonies that mentioned a specific element in the table on the main meeting page.
When an element is explicitly stated in the testimony (e.g. "Universal Affordability Preference" or "UAP"), the analysis is accurate.
But the connection between a quote from the testimony and an element of the proposal is sometimes implicit.
In these cases, the AI might eagerly label a testimony as discussing a proposal when the connection is tenuous, or it might omit it entirely.
Follow-up discussion/remarks
Commissioner Benjamin inquires about cost amortization and zoning changes
9:05:01
·
4 min
Commissioner Gail Benjamin asks Amie Gross about cost amortization in mid-density districts and the impact of various zoning changes proposed in City of Yes. Gross explains that the proposal's strength lies in its comprehensive approach to modifying multiple aspects of zoning regulations.
- Gross highlights that changes to yard requirements, setback requirements, and FAR can collectively make construction more efficient and affordable
- She estimates that the proposed changes could increase building bulk by 10-12% across their current projects
- The discussion touches on the varying impacts of different zoning changes, such as parking requirements and rear yard modifications, depending on the specific context of each site
- The cost to construct affordable housing has increased drastically
- Building larger buildings (more units) reduces the cost per unit
- New safety regulations increase construction costs
- Economy of scale is crucial for affordable housing development
- Non-profit developers need to build more units to make projects financially viable
- Increasing building size in the same zoning lot can lead to more affordable rents
[EXPERIMENTAL]
Which elements of City of Yes for Housing Opportunity were discussed in this testimony?
I was not able to tie quotes from the testimony back to specific elements of the proposal. Check out another testimony here.
About this analysis:
This analysis is done by AI that reasons whether or not a quote from the testimony discusses a particular element of the proposal.
All the prompts and data are open and available on Github.
You can search for testimonies that mentioned a specific element in the table on the main meeting page.
When an element is explicitly stated in the testimony (e.g. "Universal Affordability Preference" or "UAP"), the analysis is accurate.
But the connection between a quote from the testimony and an element of the proposal is sometimes implicit.
In these cases, the AI might eagerly label a testimony as discussing a proposal when the connection is tenuous, or it might omit it entirely.
Commissioner Osorio inquires about redeveloping public land for affordable housing
9:09:50
·
94 sec
Commissioner Juan Camilo Osorio asks Amie Gross about her views on redeveloping public land for affordable housing, given the high cost of land in New York City. Gross responds with examples of successful projects on former public land, highlighting the potential for meeting affordable housing needs in prime locations.
- Gross cites a project for 5th Avenue Committee on a former DOT parking lot in South Park Slope
- She mentions an ongoing project in Chelsea on 22nd and 7th, developed on HPD-owned property, which will be one of the city's first new affordable co-op buildings
- Gross emphasizes that many city agencies own properties that could be repurposed, and HPD is actively seeking such opportunities
- The cost to construct affordable housing has increased drastically
- Building larger buildings (more units) reduces the cost per unit
- New safety regulations increase construction costs
- Economy of scale is crucial for affordable housing development
- Non-profit developers need to build more units to make projects financially viable
- Increasing building size in the same zoning lot can lead to more affordable rents
[EXPERIMENTAL]
Which elements of City of Yes for Housing Opportunity were discussed in this testimony?
I was not able to tie quotes from the testimony back to specific elements of the proposal. Check out another testimony here.
About this analysis:
This analysis is done by AI that reasons whether or not a quote from the testimony discusses a particular element of the proposal.
All the prompts and data are open and available on Github.
You can search for testimonies that mentioned a specific element in the table on the main meeting page.
When an element is explicitly stated in the testimony (e.g. "Universal Affordability Preference" or "UAP"), the analysis is accurate.
But the connection between a quote from the testimony and an element of the proposal is sometimes implicit.
In these cases, the AI might eagerly label a testimony as discussing a proposal when the connection is tenuous, or it might omit it entirely.
Commissioner Rosenberg inquires about zoning amendments and project timelines
9:11:26
·
117 sec
Commissioner Joseph Rosenberg asks Amie Gross about recommendations for zoning amendments and how developers might approach projects given the pending City of Yes legislation. Gross explains the challenges of balancing project timelines with potential zoning changes.
- Gross discusses the difficulty for non-profit developers to delay projects due to financing considerations
- She mentions a potential strategy of developing two schemes for projects - one under current zoning and another that could be amended if City of Yes passes
- Gross emphasizes the importance of staying in the queue for financing while being prepared for potential zoning changes
- The cost to construct affordable housing has increased drastically
- Building larger buildings (more units) reduces the cost per unit
- New safety regulations increase construction costs
- Economy of scale is crucial for affordable housing development
- Non-profit developers need to build more units to make projects financially viable
- Increasing building size in the same zoning lot can lead to more affordable rents
[EXPERIMENTAL]
Which elements of City of Yes for Housing Opportunity were discussed in this testimony?
I was not able to tie quotes from the testimony back to specific elements of the proposal. Check out another testimony here.
About this analysis:
This analysis is done by AI that reasons whether or not a quote from the testimony discusses a particular element of the proposal.
All the prompts and data are open and available on Github.
You can search for testimonies that mentioned a specific element in the table on the main meeting page.
When an element is explicitly stated in the testimony (e.g. "Universal Affordability Preference" or "UAP"), the analysis is accurate.
But the connection between a quote from the testimony and an element of the proposal is sometimes implicit.
In these cases, the AI might eagerly label a testimony as discussing a proposal when the connection is tenuous, or it might omit it entirely.
Commissioner Marin explores financing challenges of increased affordable housing units
9:13:26
·
5 min
Commissioner Orlando Marin engages with Amie Gross about the financial implications of increasing affordable housing units under the City of Yes proposal. They discuss the complexities of tax credits, financing mechanisms, and construction costs associated with building more units.
- The conversation highlights potential challenges in financing more units with existing funding allocations
- Gross mentions alternative financing options being explored, such as floating bonds instead of using tax credits
- They discuss the need for additional funding mechanisms to capitalize on the proposed 20% increase in units
- The cost to construct affordable housing has increased drastically
- Building larger buildings (more units) reduces the cost per unit
- New safety regulations increase construction costs
- Economy of scale is crucial for affordable housing development
- Non-profit developers need to build more units to make projects financially viable
- Increasing building size in the same zoning lot can lead to more affordable rents
[EXPERIMENTAL]
Which elements of City of Yes for Housing Opportunity were discussed in this testimony?
I was not able to tie quotes from the testimony back to specific elements of the proposal. Check out another testimony here.
About this analysis:
This analysis is done by AI that reasons whether or not a quote from the testimony discusses a particular element of the proposal.
All the prompts and data are open and available on Github.
You can search for testimonies that mentioned a specific element in the table on the main meeting page.
When an element is explicitly stated in the testimony (e.g. "Universal Affordability Preference" or "UAP"), the analysis is accurate.
But the connection between a quote from the testimony and an element of the proposal is sometimes implicit.
In these cases, the AI might eagerly label a testimony as discussing a proposal when the connection is tenuous, or it might omit it entirely.