Evaluating the Pedestrianism Based on Sustainable Transport Goals in Urban Historical Centers by ANP Technique (Case Study: The Texture Surrounding the Naqshe Jahan Square)

One of the influential factors in pedestrian-based sustainable transport is the understanding of human behavior patterns in urban environments. Neglecting the sustainable transport causes heterogeneity in behavioral patterns and urban access networks. Therefore, by recognizing and analyzing pedestrianism indexes, it is possible to create a suitable environment for sustainable transport in the city. There is a direct relationship between indices of pedestrianism and sustainable transport goals. The purpose of the present research is an attempt to prioritize the effective pedestrian indexes in the sustainable development of the texture surrounding the Naqshe Jahan square. To achieve the goal of the research, the model of Analytical Network Process (ANP) is applied in order to analyze the pedestrianism indices in sustainable transport. In terms of its purpose, the present study is an applicable and in terms of its method, it is a descriptive-analytical research. Also, for data collection and literature review three methods were used namely: documentary, interviews with experts, and questionnaire. For data analysis the Super Decision software was used as the main research tool. The results of the research indicated that among the pedestrianism indexes, the index of social interactions has the first priority. For the sub-sections, the index of comfort for pedestrians has the first priority, and for the options section, Ostandari street lies among the most priority pedestrianism indexes for sustainable transportation in the historical texture surrounding the Naqshe Jahan square, respectively.