Screening of Architectural Values Effective on Shaping Historical Bridges from Sarcheshme to Zayandeh River

Abstract

Bridges were built in historical periods to cross floods and rivers and created value after construction. They often had remarkable beauty in terms of proportion and design. They displayed power and kindness, they also kept the functions of tourism and spending time as part of the urban space that accommodated urban life. This study was conducted to extract and categorize the architectural values effective on the shaping of historical bridges and screening them based on fuzzy Delphi, the research method is survey type and based on component screening. The research method is applied in terms of purpose and survey method. For this purpose, through document analysis and library studies of articles and books, the hidden architectural values effective in shaping the historical bridges of Zayandeh River were extracted, and then a questionnaire was compiled to examine the contribution of each component from the point of view of spatial users and screening among the spatial users of historical Zayandeh river bridges. Questionnaires with a Likert scale are designed and provided to the group of space users. The fuzzy Delphi technique and MATLAB software were used. The Delphi method consists of three steps: Fuzzification, Inference, and De-fuzzification. The results indicate that the color component from the physical dimension has a membership rate of 0.37 and the final class L has the lowest value and meaningful shapes with a value of 0.81 and the VH class has the highest membership degree in the cultural dimension of the component of avoiding futility with a value of 0.87 and the L class related to substance and meaning and the component containing traditions with values of 0.46 and 0.51 and class H related to self-sufficiency with a value of 0.7 and class VH related to flexibility dimension, the sense of place component with a membership value of 0.89 and M class and the medium membership degree is related to spatial elements with a value of 0.56. In the inferential analysis of correlation, it is determined that the spatial dimension can have the greatest impact on other dimensions and also the lowest component is related to this dimension. Paying attention to multiple functions in selected bridges leads to supporting various activities.