Redefining tourism routes in the historical context of Tehran Bazaar

Subject Areas :

ghazal goodarzi ¹ , Mostafa Behzadfar ² , yosefali ziari ³

1 - PhD in Urbanism, Department of Urbanism, Faculty of Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran.
2 - Professor, Department of Urbanism, Faculty of Urban Development, Iran University of Science and Technology, Tehran, Iran.
3 - Associate Professor, Department of Urbanism, Islamic Azad University, Central Tehran Branch, Tehran, Iran.

Received: 2020-03-01 Accepted : 2021-02-19 Published : 2022-11-22

Keywords: Tourism rout, graph theory, vikor multi-criteria model, historical context of Tehran market,

Abstract :

Preservation and revival of historical contexts has always been the most important concerns of urban planners in different periods. The prosperity of the tourism industry is one of the ways to preserve and revive such textures, because despite the advancement of technology and the construction of new urban spaces, old and historical textures are still landmarks of cities and often tourism tends to be more in these spaces and places. On the other hand, defining and redefining pedestrian tourism routes in these contexts can create the flow of life in the old body and prevent objective and mental burnout of the context. The historical context of Tehran Bazaar, which is more than 200 years old, has suitable capacities for pedestrian tourism and hosts different tourists every day, but the lack of suitable tourist routes has caused abandonment, forgetting and not visiting parts of this area. With the aim and practical nature, the present article aims to study the tourist trails of the historical context of Tehran Bazaar and in four consecutive sections, using graph theory, equates the dominant behavioral patterns as a linear programming problem by GIS software. And finally extracted 10 paths. In order to prioritize and categorize the routes, the ViKor multi-criteria model is used and ten routes in the form of three categories, commercial, cultural and ritual tourism routes are classified and for each category, a proposed route is designed and presented in GIS software. The results show that commercial tourism routes cover 70% of the behavioral patterns of the area, which by defining targeted tourism routes, while providing tourism goals, can lead to visits to other old buildings and structures.

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