Organizing retailers with an emphasis on creating seasonal participatory markets And its effects on urban viability (Case Study: Kan)
Subject Areas :Shiva Mazloomi 1 , Alireza Estelaje 2
1 - PhD Student of Geography and Urban Planning, Azad University, North Tehran Branch, Iran
2 - Associate Professor of Geography & Urban Planning Azad University, North Tehran Branch, Iran.
Keywords: Environmental Quality, Sellers, Seasonal Markets, Ken,
Abstract :
The complexity and complexity of the vendors in the city due to the multidimensional reality illustrates the need to design a unified and coordinated management structure for local policy and planning and eventually to intervene to organize it. The fundamental issue we face in this research is the proportional organization of sellers by creating seasonal markets based on environmental, physical, and urban biodiversity. The purpose of this study was to investigate the role of seasonal and participatory local markets on tourism development and the domestic economy by studying a case study of local seasonal market in kan district, Hemmat Highway. The method of this research is descriptive-correlational and the type of parametric test is used with one sample t-test. The method of data collection was based on the library-documentary method and in the literature and literature studies section and the survey method was used to assess citizens' opinions using a questionnaire (regular questions). GIS software was also used to draw the maps and field visit to verify the available data. Finally, SWOT identified weaknesses, strengths, opportunities and threats to market life of the residents in the area in question. The four axes of physical, socio-cultural, economic, environmental and natural and finally the network of passages and study traffic have been analyzed. In testing the hypotheses based on the K-S test, we find that the index of market building and highlighting the role of home business in the community (q6) with a positive load of 0.194 is accepted. And with significant coefficient (Sig = .016), it has significant relationship with model.
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