Display candidate transaction variables for article
| Id | 2208 | |
| Author | Anelli D.; Tajani F. | |
| Title | Valorization of cultural heritage and land take reduction: an urban compensation model for the replacement of unsuitable buildings in an Italian UNESCO site | |
| Reference | Anelli D.; Tajani F. Valorization of cultural heritage and land take reduction: an urban compensation model for the replacement of unsuitable buildings in an Italian UNESCO site,Journal of Cultural Heritage 57 |
Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136559345&doi=10.1016%2fj.culher.2022.08.006&partnerID=40&md5=c3fa23587a9be004e7a99d12f0e5317f |
| Abstract | The enhancement of historical, artistic and cultural assets is a topic of significant interest in the international and national context within the policies able to reduce the land take. However, it often happens that the full conservation and enhancement of the cultural heritage site is hindered by recently built buildings that are inconsistent with the valuable characteristics of the surrounding urban environment. Aim of the work is to define and implement an innovative compensation-based model to enable the demolition and reconstruction of unsuitable buildings that prevent the enhancement of historic city centers. It represents a decision support system for the Public Administration in the determination of the building rights to be transferred to the Private Entrepreneur involved, by ensuring financial convenience, environmental purposes and overall positive public effects. The analysis of the results obtained by applying the compensation-based model to the city of Alberobello, a UNESCO Italian heritage site, demonstrates its usefulness, efficiency and flexibility. © 2022 Elsevier Masson SAS |
| Candidate transition variables |
|---|
MESOC has received funding
from Horizon 2020 - the EU Framework Programme
for Research and Innovation (2014-2020) -
under Grant Agreement n°870935.
We take your privacy seriously and WE DO NOT process any personal data or any information that reveals personal identity or information that can be linked to such information to identify directly or indirectly.
2021 © CD