Prioritization of Smart Growth Indicators in Revitalizing the Historical Contexts (Case study: Kashan Market)

Abstract

Historical districts of the cities are the most valuable relics from the architecture of old eras that have been built for far many years and have been worn over time and repairing is an inevitable necessity in order to protect them. Therefore, the experts are looking for the hypothesis that repair these buildings without doing any damages. Urban smart growth and sustainable development in the field of tissue regeneration with the support of the old and the suburbs are on the agenda of urban planners. Hence, the smart growth index of the Kashan’s traditional market is evaluated. The aim of this study was to investigate the potential indicators of the smart growth in the revitalization of Kashan’s traditional market. Kashan’s Market is one of the oldest markets in Iran in which the human’s physical, typical, mental and spiritual dimensions including local communities and proper areas for walking etc. has been considered. The main method used in this research is based on descriptive-analytical approach by which the criterion was prioritized through ANP technique, “Super Decision” software combined with Entropy, SMART, and WSM coefficients, and vector integration technique. The results show that among the smart growth criterion, multiple use of area and providing places for walking had the highest potential, otherwise the variety of transportations, compact design of buildings, and creating communities with a sense of belonging to the place had the lowest potential in current situation in Kashan market.

Keywords

• central urban tissue
• resuscitation
• markets
• anp technique
• entropy coefficient