Editorial: New frontiers in evaluation, management, and technologies for sustainable cities
Bibliographic record
Abstract
In recent years, the creation of inclusive, safe, resilient and sustainable cities is one of the main challenges that the Member states of the United Nations are facing (Tajani and Morano, 2015;Morano et al., 2019;Guarini et al., 2020). This Special Issue (SI) has been aimed at investigating the wide topic, through the collection of relevant scientific contributions focalized to analyze specific aspects of the more general question related to the possibility to fill the existing gaps and/or to improve the current knowledge and the reference literature.The main topics of the SI include the following: i) econometric models, ii) sustainable building management, iii) building costs, risk management, and real estate appraisal, iv) mass appraisal methods applied to real estate properties, v) urban and land economics, transport economics, vi) real estate economics and financial techniques, vii) economic valuation of real estate investment projects and building transformations, viii) BIM applications, ix) ecosystem services approaches, x) analysis of COVID-19 effects on real estate market dynamics, xi) resilient cities assessment, xii) sustainable public-private partnerships.A total of five papers written by academic and scholars from Universities and research Institutes has been submitted. After a rigorous procedure of peer review, all the papers have been accepted and, then, published. With reference to the typology of the documents, four are classified as Research Article and one is a Perspective paper.By analyzing the different countries of the authors' affiliation, the SI includes researches carried out by Authors from all over the world: Sweden, Italy and Germany in Europe and Canada in North America.In Section 2 a more detailed description of the papers is developed and in Section 3 the conclusions related to the main themes dealt with by the documents of the Special Issue are drawn, by outlying an overall framework of the main obtained findings in order to to provide useful indications for future theoretical studies and practical policies, able to define effective urban sustainable management and governance models.In the five published papers, different topics relating to the main themes of the SI are addressed. results show that the total surface area of the polluting sites, the activity level and the industrial plant 63 opening date are among the most relevant variables, instead the accessibility to the industrial site does 64 not influence the real estate market dynamics. 65By comparing the contents of the five contributions at the core of the SI, some overarching elements, 67 otherwise specific major aims, take proof and significance in accordance with the SI fulfillment. 68
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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 | 0.011 | 0.044 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.012 | 0.015 |
| Insufficient payload (model declined to judge) | 0.026 | 0.014 |
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".