期刊名称：Journal of Urban and Environmental Engineering
印刷版ISSN：1982-3932
电子版ISSN：1982-3932
出版年度：2014
卷号：8
期号：1
页码：11-27
语种：English
出版社：Universidade Federal da Paraíba
其他摘要：This study aims at identifying the suitable lands for urban dev elopment in Bandar Abbas city based on its real world use regarding specific crite ria and sub-criteria. The city of Bandar Abbas is considered as the most important commer cial and economic city of Iran. It is also considered as one of the major cities of Iran which has played a pivotal role in the country's development and progress in recen t years especially after the end of Iran-Iraq war owing to its embracing the country's m ain commercial ports. This process has caused the immigration rate into the city to rise significantly over the past 20 years. Thus, the development of the city is meanwhile c onsidered as a high priority. Bandar Abbas city does not have a rich capacity for g rowth and development due to its special geographical situation being located in coastal border. Among the limitations placed in the city's development way, natural limit ations (heights and sea shore) in the northern and southern parts of the city and struc tural limitations (military centers) in the east and west sides of the city may be referred . Therefore, identifying the suitable lands for urban development within Bandar Abbas city l imits is becoming an essential priority. Therefore, d ifferent quantitative and quali tative criteria have been studied in order to select and identify these lands. The struct ures of qualitative criteria for most parts involve ambiguities and vagueness. This leads us to use Fuzzy logic in this study as a natural method for determining the solutions fo r problems of Multi- criteria decision making (MCDM). In the current research, a com bination of MCDM methods has been presented for analysis. To assignee weights of the criteria Fuzzy AHP (analytic hierarchy process) is used for land selection and Fuzzy TOPSIS (method for order priority by similarity to ideal solution) is utilized to choose the alternative that is the most appropriate through these criteria weights. The sen sitivity analysis of the results is included in the research.
