Comments (2)
After doing some further thinking and reading, I think we need to discuss this with someone more well-versed in real estate. Paul and I are workign on this, but just wanted to make a note here. There are a lot of specific pieces we could add to feasibility analyses, including:
- Inflation
- Financing costs / leveraged vs unleveraged returns / loan-to-X ratios
- After-tax revenue
- Calculation of IRR / NPV at a certain IRR
- Sales revenue vs. rental revenue
- Project length
- Etc.
The question is, which of these and other features should we prioritize? Which will make the biggest difference for generating more realistic results on an aggregate scale?
from developer.
We should prioritize pro forma improvements that are endogenous to the urbansim model system, i.e. take inputs from other urbansim models rather than user-provided.
from developer.
Related Issues (20)
- Read user-configured projects HOT 4
- Design Proposal: Absorption Feedback into Feasibility HOT 1
- Create developments based on user-configured development projects. HOT 4
- Parcel Splitter HOT 2
- Parcels Aggregator HOT 1
- Pipeline Adder HOT 2
- Constructor Model HOT 1
- Basic market research model with absorption HOT 1
- Basic financing mechanism HOT 3
- Better exit condition handling in developer model HOT 1
- Remove 'year_built' assignment in developer
- Pro forma / developer logs
- Generalize `max_height` ProForma attributes
- Bug in computing max profit over all forms HOT 2
- A value is trying to be set on a copy of a slice from a DataFrame HOT 3
- Fix deploy keys for Travis CI
- Settings parcel_sizes should not influence the profit HOT 4
- Relax constraint of max FAR being below 20 HOT 1
- _select_buildings() fails when self.target_units is pd.DataFrame
- Fix failing Travis tests
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