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Id 2699
Author Koçak Güngör M.; Bostancı B.; Yılmaz Bakır N.; Doğan U.
Title Investigation of Urban Design Approaches in Renewal Areas with Hybrid Decision Model
Reference

Koçak Güngör M.; Bostancı B.; Yılmaz Bakır N.; Doğan U. Investigation of Urban Design Approaches in Renewal Areas with Hybrid Decision Model,Sustainability (Switzerland) 14 17

Keywords ArcGIS; decision making; fuzzy mathematics; multicriteria analysis; project design; urban design; urban renewal
Link to article https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137882947&doi=10.3390%2fsu141710543&partnerID=40&md5=781da4597fbad9312a1ca6c48e45e602
Abstract Generally, urban renewal practices in developing countries are formed by economic concerns and by ignoring the design dimension. As a result, these conditions create unqualified urban spaces in terms of livability. In this study, to analyze and evaluate this problem, a criterion framework and a hybrid spatial decision model are formed for improving the design quality of renewal projects. The authors defined 37 urban design criteria through literature research, expert opinions, and self-assessments. A multidisciplinary focus group was held and a paired comparison form was prepared to determine the criterion weights and suitability values with the used the fuzzy DEMATEL and weighted linear combination method. The values analyzed using ArcGIS 10.2 and the suitability values are shown on the map. As a result, it has been determined that even the highest valued among the examined renewal projects could not meet even 50% of the defined urban design quality standard. The results have emphasized that the urban renewal projects without area-specific and appropriate design solutions reveal that they cannot develop qualified places. Within the scope of realizing more qualified urban places, design criteria should also be taken into account in the project design processes. In future studies, this model can be used in determining the area-specific and appropriate design solution for spatial decision-makers. © 2022 by the authors.

Metodology

DOI 10.3390/su141710543
Search Database Scopus
Technique
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