Evaluation of citizens' satisfaction indices from parks and green spaces amenities in Tehran using topsis method and cluster analysis

Subject Areas : Urban Environment

Mohammad Mahdi  Zarabi ¹ (Associate Professor, Department of horticultural Sciences Engineering, Faculty of Agriculture and Natural Resources. Imam Khomeini International University, Qazvin. *(Corresponding Author))
Roghayeh  Aminian ² (Associate Professor, Department of Genetics and Plant Breeding, Faculty of Agriculture and Natural Resources. Imam Khomeini International University, Qazvin.)
Sudabeh  Mafakheri ³ (Associate Professor, Department of horticultural Sciences Engineering, Faculty of Agriculture and Natural Resources. Imam Khomeini International University, Qazvin.)

Received: 2017-11-18 Accepted : 2018-05-28 Published : 2023-01-21

Keywords: Satisfaction, Tehran city, Amenities, Urban parks, Multivariate analysis, Similarity to the ideal point method,

Abstract :

Background and Objective: With population growth and urban development, humans gradually went away from nature. Over-population density and human-made environments have increased the human environmental, physical and mental needs. In order to meet these needs, urban man has created parks inside the cities. The purpose of this study is to prioritize citizens' satisfaction indices from parks and urban green spaces using the topsis model in parks of Tehran. Material and Methodology: The research method is descriptive, analytical and survey. The information was collected by completing the questionnaire by visitors to the park and finally the questionnaires were analyzed. Findings: The data analysis showed that most respondents were in the age range of 20 to 40 years old, had a free job, and had a diploma or a bachelor's degree. Their motivation from going to the park was resting and their access to park was a personal vehicle. Indicators of citizens' satisfaction from parks were determined based on the topsis model. In this model, green space and boards had the lowest and the most distance from ideal point, respectively. According to the similarity index, among the 23 criteria, the green space and the area of the park ranked first and second, respectively, and the boards and trash bin were ranked 22 and 23, respectively. Based on multivariate method, cluster analysis, citizens' satisfaction criteria from parks was divided into three groups. The criteria that had the highest, the lowest and the average satisfaction rates for the people were in the first, second and third groups, respectively. Discussion and Conclusion: Based on the cluster analysis, people's satisfaction with the elements of conducting the competition in the park, the green area in the spring, the size of the green space, the area of the park and the variety of flowers and trees were more than other elements.    

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