Bibliographic record
Abstract
This book provides readers with a basic understanding of the principles that underlie real estate development. A brief historical overview and an introduction to basic principles are followed by examples from practice. Case studies focus on how cities change and respond to the economic, technological, social, and political forces that shape urban development in North America. It is important to have a framework for understanding the risks and rewards in real estate investing. In measuring return, consideration must be given to both investment appreciation and the cash flow generated over the life of a project. In addition, metrics are presented that can be useful in assessing the financial feasibility of a real estate development proposal. This book also provides an overview of the forces of supply and demand that gauge the potential market for a new project. In determining the size of “residual demand”, estimates for population growth, family formation, and new development are important. All development projects fall under the auspices of one or several jurisdictions. Though every jurisdiction has different rules and procedures, basic knowledge of the planning process is critical to the success of all development projects regardless of location. Furthermore, all projects have a legal component. Basic issues of land ownership, property rights, property transfer, and land registration are reviewed, all of which need to be considered when a property is sold or purchased. This book also provides a primary on the design and construction process. In constructing a building, a team of experts is first required to design the architectural, structural, and heating, ventilation, and air conditioning (HVAC) systems for a building. An overview is provided of each building system: wood, concrete, and steel. Critical to a successful real estate development, project management principles for the processes of design, bidding, and construction are explored, with close attention given to budgeting, scheduling, and resource management. Essential reading for anyone involved in the development of our built environment, this is a must-read introduction for students and professionals in architecture, urban planning, engineering or real estate seeking an approachable and broad view of real estate development and finance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.095 | 0.036 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".