mahdi ebrahimi boozani; Asghar Norouzi; masuod asadi
Abstract
Housing is one of the most important means of achieving an adequate level of welfare and represents the largest investment for every household. This study aims to evaluate quantitative and qualitative housing indicators in the city of Isfahan by employing descriptive-analytical and comparative methods, ...
Read More
Housing is one of the most important means of achieving an adequate level of welfare and represents the largest investment for every household. This study aims to evaluate quantitative and qualitative housing indicators in the city of Isfahan by employing descriptive-analytical and comparative methods, as well as applying multi-criteria decision-making models such as VIKOR, TOPSIS, and the integration method for housing classification and planning across the fifteen districts of the city. Data were collected from the results of Iran’s national population and housing censuses in 2006, 2011, and 2016, along with the Isfahan City Statistical Yearbook of 2023. The evaluation using the VIKOR method revealed that districts 5 and 6 are at an excellent level, districts 1, 3, 4, and 7 are at a good level, districts 9, 12, and 13 are at a moderate level, while districts 2, 8, 10, 11, 14, and 15 are in a weak condition. Findings based on the TOPSIS method similarly indicated that districts 5 and 6 are in excellent condition regarding quantitative and qualitative housing indicators, districts 3, 4, 7, and 13 are in good condition, districts 2, 8, and 9 are moderate, and districts 1, 10, 11, 12, 14, and 15 are weak. Furthermore, the final ranking obtained by integrating the VIKOR and TOPSIS methods showed that districts 6, 5, and 7 occupy the first to third ranks, districts 13, 3, and 4 hold the fourth to sixth ranks, and districts 1, 2, 9, 12, 8, 11, 10, 15, and 14 respectively occupy the seventh to fifteenth ranks.
pargool solimanimoghaddam; nima valibeig; Nasim Jafari
Abstract
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 ...
Read More
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.
