Abstract
Industrial activities in the central area have adverse effects such as noise, odor, and traffic congestion. Simultaneously, due to changing technological and economic advances, existing industrial areas cannot meet the needs, spatial inadequacies obstruct competition, and production capacity decreases. Decentralizing industrial activities from urban centers are ecologically and economically necessary. Various elements on a macro and micro scale need to be considered to select suitable sites for new industrial areas. Natural, socioeconomic, and built environment features must be examined to ensure sustainability. The objective of this study is to develop an integrated industrial site location model that considers the needs of authorities and industrial stakeholders, as well as economic and ecological sustainability for the İnegöl district, one of Turkey’s leading settlements in the furniture industry. Thirty-seven criteria were evaluated using GIS based multi-criteria decision making methods. The criteria were defined through spatial analysis, expert opinions, and in-depth interviews with industry and local government representatives. Using weighted linear combination process the five sub-regions exhibiting the lowest economic costs and the least environmental degradation have been identified. Advantages and disadvantages were identified through the use of sketches and comparisons between the sub-regions. A decision support system was developed for local and central government institutions to be used in industrial site selection processes.
Original language | English |
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Article number | 110866 |
Pages (from-to) | 4771-4793 |
Number of pages | 23 |
Journal | Environmental Science and Pollution Research |
Volume | 32 |
Issue number | 8 |
DOIs | |
Publication status | Published - Feb 2025 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.
Keywords
- Geographic information systems
- Industrial area planning
- Inegol
- Multi-criteria decision-making methods
- Site selection for industrial areas
- Suitability assessments