Multicriteria Evaluation of Urban Regeneration Processes: An Application of PROMETHEE Method in Northern Italy
Joint Authors
Bottero, Marta
Oppio, Alessandra
D’Alpaos, Chiara
Source
Advances in Operations Research
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-14
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
The paper illustrates the development of an evaluation model for supporting the decision-making process related to an urban regeneration intervention.
In particular, the study proposes an original multi-methodological approach, which combines SWOT Analysis, Stakeholders Analysis and PROMETHEE method for the evaluation of alternative renewal strategies of an urban area in Northern Italy.
The article also describes the work carried out within an experts’ panel that has been organized for validating the structuring of the decision problem and for evaluating the criteria of the model.
American Psychological Association (APA)
Bottero, Marta& D’Alpaos, Chiara& Oppio, Alessandra. 2018. Multicriteria Evaluation of Urban Regeneration Processes: An Application of PROMETHEE Method in Northern Italy. Advances in Operations Research،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1122576
Modern Language Association (MLA)
Bottero, Marta…[et al.]. Multicriteria Evaluation of Urban Regeneration Processes: An Application of PROMETHEE Method in Northern Italy. Advances in Operations Research No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1122576
American Medical Association (AMA)
Bottero, Marta& D’Alpaos, Chiara& Oppio, Alessandra. Multicriteria Evaluation of Urban Regeneration Processes: An Application of PROMETHEE Method in Northern Italy. Advances in Operations Research. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1122576
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122576