DETERMINATION OF URBAN REGENERATION AREAS IN TURKEY: CURRENT APPROACH AND SUGGESTIONS FOR SUSTAINABLE DEVELOPMENT

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Sezgin E., Tunç A., Yomralıoğlu T.

FRESENIUS ENVIRONMENTAL BULLETIN, vol.31, no.8A, pp.8281-8290, 2022 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 31 Issue: 8A
  • Publication Date: 2022
  • Journal Name: FRESENIUS ENVIRONMENTAL BULLETIN
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Aerospace Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Chemical Abstracts Core, Communication Abstracts, Environment Index, Geobase, Greenfile, Metadex, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Page Numbers: pp.8281-8290
  • Keywords: Urban Regeneration (UR), Disaster Risk, Geographical Data Model, Unified Modelling Language (UML)
  • Istanbul Technical University Affiliated: Yes

Abstract

Urban regeneration (UR) is a crucial city planning tool used by local and central governments in order to reduce the impacts of disasters and design sustainable cities. It is important to accelerate the process when it comes to the loss of lives. In order to take measures against disasters quickly and to design disaster resistant cities by taking advantage of the new and facilitator Law, more than 250 areas across the country have been determined as project areas According to The Law on the Regeneration of Areas under Disaster Risk, commonly known as the Urban Regeneration Law (No.6306, May 2012). Due to insufficient information in the Regulation, there are differences in practice. There is a need for a more comprehensive regulation to set every point clear and transparent to develop UR projects sustainably. In this study, a workflow diagram has been designed. This will be useful to standardized the UR process. The required data for the determination of UR areas according to the related legislation has been specified. A geographical data model for the determination of UR project areas has been designed and its relationship with national and international data standards has been established. Spatial Unit, Party, Governmental Utility, Illegal Condition of Buildings data classes were modelled. They will be beneficial for managing the UR process from the data management point of view. Using Unified Modelling Language (UML) diagrams to model the geographical data will enable institutions and data managers to operate together and manage urban data efficiently.